178 Dataiku Jobs - Page 4

Role: Dataiku Developer Location: PAN India Notice: Immediate to 60 days Job Description Hands-on experience in DataIKU along with good knowledge of SQL. Should be able to understand and translate business needs into data models supporting long-term solutions. Must have experience in converting SQL/ Alteryx scripts in Dataiku. Develop and design efficient Dataiku workflows by applying best practices. Design & execute flowzone development plan for existing Alteryx flows/ SQL scripts. Experience in working with large datasets, managing huge volumes of data, and evaluation while working with multiple data sources, decompose high-level information into details for downstream reporting and ad-hoc analysis. Ability to understand the business and design/ develop KPIs for business decision making. Experience of data gathering, data exploration, transformation, data analysis, data mining and data quality and making analytics ready dataset Good knowledge of metadata management, data modeling Strong analytical and problem-solving skills Role & Responsibility Hands on experience with DataIKU and SQL /Python functions & programs Optimization of existing flowzones to save time & improve process efficiency Efficiently use global variables and procedures to simplify the coding process. Write Complex queries on multiple tables to create unified view of the data. Convert existing Alteryx workflows/ SQL scripts in Dataiku. Prepare technical specifications and documentation for supporting BI reports Skills & Experience 3+ years’ experience in SQL Handson experiences of working with DataIKU. Must have a certification as a Core Designer. Knowledge of databases and good knowledge in statistical modeling and ability to develop complex models. Good Data Analysis skills in identify different trends, patterns other data anomaly. Ability to write macros, advanced queries, models, functions & formulae. Collaborate with client Leads to coordinate for data extraction process, discuss results with engagement teams. Snowflake environment would be advantageous. Should be able to bring new ideas and innovative solutions to our clients. Show more Show less

This role requires a strong background in SQL, databases, data modelling, data analysis, data transformation, and data visualization. The ideal candidate will have extensive experience with Dataiku, Tableau and Geospatial analytical skills. You will play a crucial role in designing data models, gathering information, writing code, maintaining data documentation, communicating results, and collaborating with data team members. An Analytics Engineer connects the ideas and strategies of executives and stakeholders with the numbers and evaluations of data collection and statistics. Roles and Responsibilities • Design, develop, and maintain robust analytics pipelines to support customer-facing dashboards and reports. • Collaborate with stakeholders to understand their data requirements and translate them into technical specifications. • Perform data modelling, data transformation, and data analysis to ensure data accuracy and integrity. • Develop and maintain interactive dashboards and visualizations using tools like Tableau. • Utilize Dataiku for data preparation, machine learning, and data pipeline automation. • Optimize SQL queries and database performance to handle large datasets efficiently. • Perform the Geospatial analysis using the IoT data. • Ensure data quality and consistency across various data sources and platforms. • Monitor and troubleshoot data pipelines and dashboards to ensure their reliability and performance. • Maintain comprehensive data documentation and communicate results effectively to stakeholders. • Collaborate with data team members to align strategies and deliverables. Required Skills Must have skills: • Strong proficiency in SQL and experience with database management systems. • Strong proficiency in Geospatial Analysis • Strong proficiency in data analytics tools such as Dataiku and Tableau. • Extensive experience with data modelling, data transformation, and data analysis. • Strong understanding of ETL processes and data integration techniques. Good to have skills: • Familiarity with programming languages such as Python is a plus. • Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. • Experience with version control systems like Git. Desired Skills: Must have skills: • Strong proficiency in SQL and experience with database management systems. • Strong proficiency in Geospatial Analysis • Strong proficiency in data analytics tools such as Dataiku and Tableau. • Extensive experience with data modelling, data transformation, and data analysis. • Strong understanding of ETL processes and data integration techniques. Good to have skills: • Familiarity with programming languages such as Python is a plus. • Knowledge of cloud platforms such as AWS, Azure, or GCP is beneficial. • Experience with version control systems like Git. Soft Skills : • Excellent analytical and problem-solving skills. • Strong communication and collaboration abilities. • Ability to work independently and as part of a team. • Detail-oriented with a commitment to delivering high-quality work. • Strong organizational skills and the ability to manage multiple tasks and priorities. • Adaptability to changing requirements and a fast-paced environment. • Self-motivated and proactive in identifying opportunities for improvement. Show more Show less

Job Description The Opportunity Manager, Data Visualization Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Our Technology centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of the company IT operating model, Tech centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each tech center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview A unique opportunity to be part of an Insight & Analytics Data hub for a leading biopharmaceutical company and define a culture that creates a compelling customer experience. Bring your entrepreneurial curiosity and learning spirit into a career of purpose, personal growth, and leadership. We are seeking those who have a passion for using data, analytics, and insights to drive decision-making that will allow us to tackle some of the world's greatest health threats As a Manager in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Our Quantitative Sciences team use big data to analyze the safety and efficacy claims of our potential medical breakthroughs. We review the quality and reliability of clinical studies using deep scientific knowledge, statistical analysis, and high-quality data to support decision-making in clinical trials. What Will You Do In This Role Design & develop user-centric data visualization solutions utilizing complex data sources. Identify & define key business metrics and KPIs in partnership with business stakeholders. Define & develop scalable data models in alignment & support from data engineering & IT teams. Lead UI UX workshops to develop user stories, wireframes & develop intuitive visualizations. Collaborate with data engineering, data science & IT teams to deliver business friendly dashboard & reporting solutions. Apply best practices in data visualization design & continuously improve upon intuitive user experience for business stakeholders. Provide thought leadership and data visualization best practices to the broader Data & Analytics organization. Identify opportunities to apply data visualization technologies to streamline & enhance manual / legacy reporting deliveries. Provide training & coaching to internal stakeholders to enable a self-service operating model. Co-create information governance & apply data privacy best practices to solutions. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace. What Should You Have 5 years’ relevant experience in data visualization, infographics, and interactive visual storytelling Working experience and knowledge in Power BI / QLIK / Spotfire / Tableau and other data visualization technologies Working experience and knowledge in ETL process, data modeling techniques & platforms (Alteryx, Informatica, Dataiku, etc.) Experience working with Database technologies (Redshift, Oracle, Snowflake, etc) & data processing languages (SQL, Python, R, etc.) Experience in leveraging and managing third party vendors and contractors. Self-motivation, proactivity, and ability to work independently with minimum direction. Excellent interpersonal and communication skills Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Demonstrated ability to collaborate and lead with diverse groups of work colleagues and positively manage ambiguity. Experience in Pharma and or Biotech Industry is a plus. Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation. Who We Are We are known as Merck & Co., Inc., Rahway, New Jersey, USA in the United States and Canada and MSD everywhere else. For more than a century, we have been inventing for life, bringing forward medicines and vaccines for many of the world's most challenging diseases. Today, our company continues to be at the forefront of research to deliver innovative health solutions and advance the prevention and treatment of diseases that threaten people and animals around the world. What We Look For Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us—and start making your impact today. #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills Job Posting End Date 06/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R336575 Show more Show less

Job Description Specialist - Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Specialist in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Responsibilities Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. Required Experience And Skills 5+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling Hands-on expertise in BI and visualization tools such as Power BI, MicroStrategy, and ThoughtSpot Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R334900 Show more Show less

Job Description Associate Manager/Analyst - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a good understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum. Familiarity with HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting is highly desirable. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Understand the business requirements and support the manager to translate those to analytical problem statements. Implement the solution steps through SQL/Python, appropriate ML techniques without rigorous handholding. Follow technical requirements (Datasets, business rules, technical architecture) and industry best practices in every task. Collaborate with cross-functional teams to design and implement solutions that meet business requirements. Present the findings to US DS stakeholders in a clear and concise manner and address feedback. Adopt a continuous learning mindset, both technical and functional. Develop deep expertise in therapeutic area, with clear focus on commercial aspects. Minimum Qualifications Bachelor’s degree with at least 0-3 years industry experience (experience requirement can be waived off for exceptional candidates) Strong Python/R, SQL, Excel skills Strong foundations of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) 1-3 years’ experience in healthcare analytics and consulting Familiarity with Physician and Patient-Level data (e.g., claims, electronic health records) and data from common healthcare data vendors (IQVIA, Optum, Komodo, etc.) Experience in HCP & Patient Level Data analytics (e.g., HCP Segmentation & targeting, Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Proficiency in Data Science Concepts, Microsoft Excel and PowerPoint, and familiarity with Dataiku Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 04/22/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335735 Show more Show less

Job Description Lead Analytics Engineer We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization. As a Lead Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your Specific Responsibilities Will Include Design and implementation of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field. Required Experience 8+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 05/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R310032 Show more Show less

Job Description Senior Specialist- Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Senior Specialist- Data Visualization, you will be leading a team of Data Visualization and Analytics experts who are focused on designing and developing compelling analytical solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in team leadership, stakeholder management, product management while leading the development of user-centric visualization products that empower stakeholders with data driven insights & decision-making capability. Responsibilities Lead and manage a team of ~10 visualization experts, designers, data analysts, and insights specialists, fostering a high-performing, inclusive, and engaged work environment. Drive team-building initiatives, mentorship, coaching, and performance management while prioritizing diversity, inclusion, and well-being. Develop user-centric analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Foster a culture of innovation and continuous learning, encouraging the adoption of new visualization tools, methodologies, and a product mindset to build scalable and reusable solutions. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Required Experience And Skills 10+ years of experience in insight generation, business analytics, business intelligence, and interactive visual storytelling, with a strong focus on infographics and data-driven decision-making. Proven leadership and people management skills, including team development, mentoring, and fostering a high-performing, engaged workforce. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Hands-on expertise in BI and visualization tools such as Qlik, Power BI, MicroStrategy, Looker, and ThoughtSpot, with proficiency in PowerPoint and data storytelling for creating impactful presentations. Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Proven ability to manage third-party vendors and contractors, ensuring high-quality deliverables and cost-effective solutions. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R334763 Show more Show less

Job Description Specialist- Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Specialist in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Responsibilities Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. Required Experience And Skills 5+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling Hands-on expertise in BI and visualization tools such as Power BI, MicroStrategy, and ThoughtSpot Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335129 Show more Show less

What You’ll Do Must have proven experience in Building front-end and back-end components for AI applications, building/consuming APIs, building customer centric user interfaces and designing integrations with other systems using .Net, JavaScript, Angular or React, SQL Must have proven experience in solution deployment by packaging trained AI models as services using Azure deployment services, Kubernetes, and GitHub for version control. Should have in depth understanding of Azure AI services such as Azure Machine Learning and Cognitive Services along with other AI technologies, natural language processing (NLP), computer vision and GPT models Should have strong expertise in articulating and documenting solution architecture for AI projects by collaborating with solution architect and enterprise architects. Must have abilities to collaborate with business leaders to understand their pain points and identify key areas where AI solutions can drive significant business benefit. Must have strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions. Must have excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders Qualifications Bachelors in engineering/ B.E/B. Tech and/or required equivalent MCA. Overall 10+ years’ experience with proven track record of 5+ years in Solutioning and deploying end to end AI Technical skills : Net, JavaScript, Angular or React, SQL Server, Azure deployment services, Kubernetes, GitHub , Azure Cognitive Services , GPT models, added advantage with GitHub Copilot Skills Proficiency in front-end technologies (React or Angular) and back-end technologies (e.g., Node.js, Python, .NET). Strong understanding of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Experience with cloud and hybrid infrastructures. Proficiency in scripting and automation tools (e.g., PowerShell, Azure CLI) Expertise in cloud native development specialized in Microsoft Azure tech stack Experience of working on AI use cases involving in Salesforce AI (Einstein and Agentforce), ServiceNow AI (NowAssist and AI Agents), SAP AI (Joule) , Oracle Cloud AI, AI applications in Industry 4.0 Experience with AI platforms like Palantir, Snowflake, and DataIku is advantageous ]]> Show more Show less

What You’ll Do Our Corporate IT Organization is driving the adaption of innovation across Eaton! In the role of Technical Leader of AI implementation, the individual will lead our innovative team in the development and deployment of cutting-edge technologies. This role requires expertise in managing Artificial Intelligence project deployments within cloud-native environments built on .NET, React, Generative AI and Agentic AI and will play a crucial role in strategic planning and execution, ensuring alignment with senior leadership, enterprise architecture, and security teams. The ideal candidate will possess a deep understanding of the IT industry, with 13 to 15 years of experience and a proven track record of managing technical teams What Will You Do Lead and manage a team of technical resources, fostering a collaborative and high-performance work environment. Provide mentorship and guidance to team members, ensuring continuous professional development. Drive the implementation of complex AI projects, including Generative AI and Agentic AI solutions. Ensure the integration of AI technologies into existing systems and processes, enhancing overall business capabilities. Develop and execute comprehensive strategic plans that align with organizational goals. Collaborate with senior leadership to define project objectives, scope, and deliverables. Maintain clear and effective communication with stakeholders, including senior leadership, enterprise architecture, and security teams. Ensure alignment and transparency throughout the delivery lifecycle. Provide technical oversight through expertise on AI project deployments within cloud-native environments built on .NET, React, Generative AI and Agentic AI. Stay abreast of industry trends and advancements, incorporating best practices into project execution. Closely working with Product owners, Scrum Masters and Business Analysts to understand and align on product roadmaps and prioritization to drive business value Qualifications 13 to 15 years of experience in the IT industry, with a minimum of 3 to 5 years of experience managing technical teams. A bachelor’s degree in computer science, Information Technology, or a related field is required. A master's degree or relevant certifications are preferred. Skills Strong leadership and team management skills, with a focus on fostering a collaborative and innovative work environment. Demonstrated ability to develop and execute strategic plans, aligning with organizational goals and ensuring successful project outcomes. Strong analytical and problem-solving skills, with the ability to navigate complex technical challenges and deliver innovative solutions. Excellent communication and interpersonal skills, with the ability to effectively engage with stakeholders at all levels. Experience of working on AI use cases involving in Salesforce AI (Einstein and Agentforce), ServiceNow AI (NowAssist and AI Agents), SAP AI (Joule) , Oracle Cloud AI, AI applications in Industry 4.0. Experience with AI platforms like Palantir, Snowflake, and DataIku is advantageous. ]]> Show more Show less

Job Description Intern- Data Solutions As an Intern- Data Solutions , you will be part of the Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your Specific Responsibilities Will Include Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience High proficiency in SQL, Python and AWS Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer Understanding in creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Hands on with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Hands on with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Intern/Co-op (Fixed Term) Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/3/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R344331 Show more Show less

Job Description Senior Specialist- Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Senior Specialist- Data Visualization, you will be leading a team of Data Visualization and Analytics experts who are focused on designing and developing compelling analytical solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in team leadership, stakeholder management, product management while leading the development of user-centric visualization products that empower stakeholders with data driven insights & decision-making capability. Responsibilities Lead and manage a team of ~10 visualization experts, designers, data analysts, and insights specialists, fostering a high-performing, inclusive, and engaged work environment. Drive team-building initiatives, mentorship, coaching, and performance management while prioritizing diversity, inclusion, and well-being. Develop user-centric analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Foster a culture of innovation and continuous learning, encouraging the adoption of new visualization tools, methodologies, and a product mindset to build scalable and reusable solutions. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Required Experience And Skills 10+ years of experience in insight generation, business analytics, business intelligence, and interactive visual storytelling, with a strong focus on infographics and data-driven decision-making. Proven leadership and people management skills, including team development, mentoring, and fostering a high-performing, engaged workforce. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Hands-on expertise in BI and visualization tools such as Qlik, Power BI, MicroStrategy, Looker, and ThoughtSpot, with proficiency in PowerPoint and data storytelling for creating impactful presentations. Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Proven ability to manage third-party vendors and contractors, ensuring high-quality deliverables and cost-effective solutions. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R334763 Show more Show less

Job Description Analytics Engineer We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization. As a Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your specific responsibilities will include Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience 5+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/20/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335377 Show more Show less

Job Description Specialist- Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As a Specialist in Data Visualization, you will be focused on designing and developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Responsibilities Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. Required Experience And Skills 5+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling Hands-on expertise in BI and visualization tools such as Power BI, MicroStrategy, and ThoughtSpot Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights. Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics. Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently. Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles. Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335129 Show more Show less

Job Description Associate Specialist- Data Visualization Our Human Health Digital, Data and Analytics (HHDDA) team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of communicating, measuring, and interacting with our customers and patients leveraging digital, data and analytics. Are you passionate about helping people see and understand data? You will take part in an exciting journey to help transform our organization to be the premier data-driven company. As an Associate Specialist in Data Visualization, you will be developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability. Responsibilities Develop user-centric scalable visualization and analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact. Collaborating with Data Viz leads and stakeholders to define key metrics, KPIs, and reporting needs. Participate and contribute in workshops to develop user stories, wireframes, and interactive visualizations. Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices. Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement. Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents. Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace Required Experience And Skills 2+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling Hands-on expertise in BI and visualization tools such as Power BI, PowerApps, Qliksense, MicroStrategy, and ThoughtSpot Experience of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python. Knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights is plus Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics is plus Experience in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions. Good problem-solving and communication skills, with the ability to interpret data and provide actionable insights while effectively working in cross-functional environments. Basic understanding of product management principles, focusing on developing user-centric, scalable analytical solutions aligned with business needs. Familiarity with agile ways of working, including exposure to Agile/Scrum methodologies and participation in iterative development and continuous improvement initiatives in data visualization and analytics projects. Strong learning agility, with the ability to quickly adapt to new tools, technologies, and business environments while continuously enhancing analytical and technical skills. Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design Preferred Skills Job Posting End Date 04/30/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R334898 Show more Show less

Job Description Analytics Engineer We are seeking a talented, motivated and self-driven professional to join the HH Digital, Data & Analytics (HHDDA) organization and play an active role in Human Health transformation journey to become the premier “Data First” commercial biopharma organization. As a Analytics Engineer, you will be part of the HHDDA Commercial Data Solutions team, providing technical/data expertise development of analytical data products to enable data science & analytics use cases. In this role, you will create and maintain data assets/domains used in the commercial/marketing analytics space – to develop best-in-class data pipelines and products, working closely with data product owners to translate data product requirements and user stories into development activities throughout all phases of design, planning, execution, testing, deployment and delivery. Your specific responsibilities will include Hands-on development of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required Experience 5+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Good understanding and comprehension of the requirements provided by Data Product Owner and Lead Analytics Engineer Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc.) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (e.g. Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred Experience Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science and visualization/reporting products, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/20/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335377 Show more Show less

Job Description Associate Manager Data Science Primary Responsibilities Support product design and ensure consistent execution of product lifecycle processes from concept to launch, ensuring user-centric solutions Support defining and monitoring Product Success metric at incremental product development phases Participate in cross-functional collaboration with engineering, marketing, and sales teams to align on product goals and roadmap planning for automation/improvements as per business needs Effectively communicate progress, challenges, learning to key stakeholders Gather user feedback to refine product features. Evaluate technical feasibility of new product features and enhancements. Ensure smooth handoff of product requirements to development teams Support design and development of benchmark techniques being deployed across multiple product development strategies Work with other members in team to create and present comprehensive playbook and training material to standardize and share SOPs with product development and other analytics teams Support in identification of cutting-edge trends and best practices in the market to improve product positioning Qualifications Education & Work Experience Requiremen ts Bachelor’s degree (in Engineering or related field, such as Computer Science, Data Science, Statistics, Business, etc.) with at least 3+ years relevant experience Master’s degree (relevant field like Computer Science, Economics, Statistics, Mathematics, Operational Research) with 2+ years work experience 1+ Years of Product management or Software development experience Skillset Candidates must have - Strong proficiency in Python, SQL, and cloud-based environments (AWS, GCP, or Azure) is a must. Experience with APIs, microservices, and DevOps practices is a plus Understanding of Software Development Lifecycle and Agile methodologies Exposure to product roadmap design and product management Understanding of data structure, pipeline & architecture Strong problem solving, business analysis and quantitative skills Story Boarding - Ability to effectively communicate proposals to key stakeholders Understanding of analytics tools like Tableau, PowerBI, Dataiku etc Candidates are desired but not mandatory to have - Experience with data science principles, machine learning (supervised and unsupervised) and GenAI algorithms, test-control analysis, propensity score matching etc. Understanding of Pharma commercial landscape will be a plus Experience with Marketing Mix Modeling and optimization with underlying concepts such as ad-stock, decay, interaction and halo effects etc. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 05/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335766 Show more Show less

Job Description Specialist, Payer Research and Analytics The Payer Research and Analytics Specialist will be responsible for supporting our GMAX and Payer Marketing organizations with primary and secondary payer research. This person will work closely with the Director of Payer Research and Analytics on a broad range of projects related to summarizing the access landscape for specific disease areas, pricing and contracting and reimbursement, analytics payer projects developing and communicating data-driven and actionable insights to our Company’s Global Market Access (GMAx) organization. The preferred candidate will have experience in both primary and secondary research in the market access space. The candidate should have an entrepreneurial spirit, consultative mindset, strong understanding of market access data, commercial analytics capabilities, and technology. This person should have the ability to create structure, break down unstructured problem statements into solvable chunks, deliver the appropriate insights, analytics, or data solution. The person will be required to have a growth mindset and embody a culture of continuous learning. This role will require interfacing and collaborating with many teams. Strong communication skills are essential for a candidate to be successful in this role. Individuals who will thrive in this role are motivated by developing a deep understanding of the market access environment and possess an ability to define and translate objectives and business questions into solvable pieces, drive solutioning, enable inter-connected problem solving, produce actionable insights and high-quality deliverables. Primary Responsibilities Partner with the payer marketing and GMAX teams to lead and manage primary and secondary research projects Support therapeutically aligned Payer Research and Analytics Director (Oncology/Pharma/Vaccine/Early Pipeline) Understand business stakeholders' priorities and help develop data and analytical solutions that support business objectives in collaboration with the broader commercial insight teams. Develop and shape internal, high quality market access insight deliverables Work with global market access leadership to prioritize the work that needs to be done considering the capacity availability within HHDDA. Travel may be required ( Education Minimum Requirements Undergraduate degree in related discipline required MBA or Master’s degree in Business, Finance, Public Health, Policy, Pharmacy, Engineering, Mathematics, Statistics, Computer Science preferred Required Experience And Skills Minimum of 3+ years of experience in the pharmaceutical/biotech or management consulting industry. Strong understanding of market access landscape and commercial analytics capabilities (market research, forecasting, data driven analytics, advanced analytics). Self-motivated, proactive, ability to work independently and collaborate seamlessly. Ability to understand business process and break down business questions into specific, tangible hypotheses and requirements to guide analysis. Excellent problem-solving skills with an appreciation for data oriented analytical methods. Ability to operate in an unstructured environment and have strong organizational skills to create structure and clarity. Excellent organizational skills, with ability to navigate a complex matrix environment and organize/prioritize work efficiently and effectively. Excellent interpersonal and communication skills. Preferred Experience And Skills Experience in market access, strategy and/or commercial analytics (market research, data analytics, business intelligence and/or forecasting). Experience managing Primary Research projects with external vendors. Proficient in program languages for analyzing data and visualization software (Python, SQL, Dataiku, PowerBI etc.) would be an added advantage. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Analysis, Marketing, Researching, Stakeholder Relationship Management, Supplier Management, User Research, Waterfall Model Preferred Skills Job Posting End Date 05/31/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335037 Show more Show less

Job Summary Core technical skills in Big Data (HDFS, Hive, Spark, HDP/CDP, ETL pipeline, SQL, Ranger, Python), Cloud (either AWS or Azure preferably both) services (S3/ADLS, Delta Lake, KeyVault, Hashicorp, Splunk), DevOps, preferably Data Quality & Governance Knowledge, preferably hands-on experience in tools such DataIku/Dremio or any similar tools or knowledge on any such tools. Should be able to lead project and report timely status. Should ensure smooth release management Strategy Responsibilities include development, testing and support required for the project Business IT-Projects-CPBB Data Technlgy Processes As per SCB Governance People & Talent Applicable to SCB Guidelines Risk Management Applicable to SCB standards Key Responsibilities Regulatory & Business Conduct Display exemplary conduct and live by the Group’s Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead the team to achieve the outcomes set out in the Bank’s Conduct Principles: [Fair Outcomes for Clients; Effective Financial Markets; Financial Crime Compliance; The Right Environment.] Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters. Key stakeholders Athena Program Other Responsibilities Analysis, Development, Testing and Support , Leading the team, Release management Skills And Experience Hadoop SQL HDFS Hive Python ETL Process ADO & Confluence DataWarehouse Concepts Delivery Process Knowledge Qualifications Hadoop,HDFS,HBASE,Spark,Scala, ADO & Confluence,ETL Process, SQL(Expert), Dremio(Entry),Dataiku(Entry) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together We Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What We Offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. Flexible working options based around home and office locations, with flexible working patterns. Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Show more Show less

Job Summary We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining robust data pipelines and architecture that facilitate data extraction, transformation, and loading (ETL) processes. You will work closely with data scientists, analysts, and other stakeholders to ensure that high-quality data is accessible for analysis and decision-making. Key Responsibilities Design, build, and maintain data pipelines to support data integration and transformation processes. Develop and optimize ETL processes to ensure efficient data flow between systems. Collaborate with data architects, data scientists, and business stakeholders to understand data requirements and provide solutions. Implement data quality checks and validation processes to ensure data accuracy and reliability. Experience on Data Warehouse, tools like Snowflake, Databricks, Dataiku, Snaplogic, Colibra, Soda Create and maintain documentation for data architecture, data models, and data flows. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay current with industry trends and emerging technologies in data engineering and analytics. Qualifications Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. A Master’s degree is a plus. Proven experience as a Data Engineer or in a similar role. Proficiency in programming languages such as Python, R, Java, or Scala. Strong experience with SQL and relational databases (e.g., MySQL, PostgreSQL). Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. Experience with data warehousing solutions (e.g., Snowflake, Amazon Redshift, Google BigQuery). Knowledge of data modeling techniques and best practices. Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is desirable. Familiarity with data pipeline orchestration tools (e.g., Azure DevOps, Snaplogic, other connectors). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Preferred Skills Experience with datawarehouse technologies (e.g., Snowflake, Spark). Familiarity with machine learning concepts and frameworks. Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus. Show more Show less

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Reporting directly to the acting Country Sales Leader for India, we're looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in India. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku. How'll you'll make an impact: Meet/exceed sales revenue quota and renewal goals. Work extensively with channel partners and RSIs to sell with/through and drive customer success. Build and execute territory sales plan for the assigned sales territory in India. Drive customer engagement and build a joint pipeline of sales opportunities. Ensure the development of joint sales and technical skills within the partner ecosystem to drive demand and customer success. Oversee the development and delivery of joint marketing campaigns and field engagement with partners and Dataiku field teams to generate pipeline. Alignment of internal stakeholders across the business in Sales, Marketing, Services, Customer Success, and Product. Build executive relationships with the leadership of key customers and facilitate customer engagement. Collaborate with cross-functional Dataiku leadership to scale the ecosystem of partnerships. Represent Dataiku at industry events in a manner that reflects and upholds Dataiku's core values. What you'll need to be successful: Sales track record in India. Strong extensive experience in successfully building and scaling channel resellers program and network in the region that contribute significantly to sales growth.. Extensive experience working with local partners. Domain expertise of modern AI/ML and cloud computing technologies. Be fluent in what's relevant to the C-Suite today. Connections within our target technology, system integrator and consulting partners, which include: Snowflake, Databricks, AWS, Google, Microsoft, Accenture, Deloitte, PWC, KMPG, Capgemini, DXC, Tech Mahindra, Wipro, and others. Know their businesses and the people that drive them. 10+ years of track record in software sales within the Data / AI industry, technology / cloud computing, SI, and consulting companies in India. A collaborative connector and influential leadership style that drives results. Be able to align stakeholders and get people on the journey to achieve desired objectives and results for the region. Preference for candidates based in Mumbai. #LI-Remote #LI-SC1 What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you'd like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Job Title: Senior Data Quality Assurance Analyst Career Level :: D Introduction to role: Are you ready to play a pivotal role in transforming data quality within a global pharmaceutical environment? Join our Operations Global Data Office as a Senior Data Quality Assurance Analyst, where you'll be instrumental in developing solutions to enhance data quality within our SAP systems. Your expertise will drive the creation of data quality rules and dashboards, ensuring alignment to standards and governance policies. Collaborate with data stewards and business owners to develop code for monitoring and measuring data quality, focusing on root cause analysis and prevention of data issues. Are you solution-oriented and passionate about testing? This is your chance to make a significant impact! Accountabilities: Develop and support the creation of data quality dashboards in Power BI by extracting data from various Global SAP systems into Snowflake. Work extensively with collaborators to define requirements for continuous data quality monitoring. Provide extensive data analysis and profiling across a wide range of data objects. Develop and implement the data quality framework and operating model. Focus on high levels of process automation to ensure data and results are up-to-date. Conduct extensive data analysis to detect incorrect patterns in critical data early. Facilitate matching or linking multiple data sources together for continuous DQ monitoring. Embed ongoing data quality monitoring by setting up mechanisms to track issues and trends. Conduct root cause analysis to understand causes of poor quality data. Train, coach, and support data owners and stewards in managing data quality. Essential Skills/Experience: Experience developing and supporting the creation of data quality dashboards in Power BI, by extracting data from various Global SAP systems into Snowflake and develop rules for identifying DQ issues using Acceldata or something similar. Demonstrated experience & domain expertise within data management disciplines, including the three pillars of data quality, data governance and data architecture. Advanced programming skills in T-SQL or similar, to support data quality rule creation. Advanced data profiling and analysis skills evidenced by use of at least one data profiling analysis tool. For example, Adera, DataIKU or Acceldata. Strong ETL automation and reconciliation experience. Expert in extracting and manipulating and joining data in all its various formats. Excellent visualizing experience, using Power BI or similar for monitoring and reporting data quality issues. Key aspect of the role is to create self-serve data quality dashboards for the business to use for defect remediation and trending. Excellent written and verbal communication skills with the ability to influence others. to achieve objectives. Experience in Snowflake or similar for data lakes. Strong desire to improve the quality of data and to identify the causes impacting good data quality. Experience of Business and IT partnering for the implementation of Data Quality KPIs and visualisations. Strong Team member management skills with a good attention to detail. Ability to work in fast-paced, dynamic environment and manage multiple streams of work simultaneously. Experience of working in a global organisation, preferably within the pharmaceuticals industry. Experience of working in global change projects. Extensive knowledge of data quality with the ability to develop and mature the data quality operating model and framework. Knowledge of at least one standard data quality tool. For example, Acceldata, Alteryx, Aperture, Trillium, Ataccama or SAS Viya. Desirable Skills/Experience: Using one of the following data lineage or governance tools or similar. For example, Talend or Collibra. Experience in working in a complex MDG SAP data environment. Experience of any of the following for data cleansing – Winshuttle or Aperture Working within a lean environment and knowledge of data governance methodologies and standards. Knowledge of automation and scheduling tools. Extensive knowledge of risk and data compliance. Experience in data observability using AI pattern detection. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, innovation is at the heart of everything we do. We embrace change by trialing new solutions with patients and business needs in mind. Our diverse workforce is united by curiosity, sharing findings, and scaling fast. Be part of a digitally-enabled journey that impacts society, the planet, and our business by delivering life-changing medicines. Ready to make a difference? Apply now!

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Reporting directly to the acting Country Sales Leader for India, we’re looking for someone who can express passion about new technologies and the possibilities of Data and Advanced Analytics to enterprise customers across a range of industries within an extensive network in India. This role consists of engaging prospects and customers about their related initiatives to help them develop a more efficient approach, leveraging our platform, Dataiku. How'll You'll Make An Impact Meet/exceed sales revenue quota and renewal goals. Work extensively with channel partners and RSIs to sell with/through and drive customer success. Build and execute territory sales plan for the assigned sales territory in India. Drive customer engagement and build a joint pipeline of sales opportunities. Ensure the development of joint sales and technical skills within the partner ecosystem to drive demand and customer success. Oversee the development and delivery of joint marketing campaigns and field engagement with partners and Dataiku field teams to generate pipeline. Alignment of internal stakeholders across the business in Sales, Marketing, Services, Customer Success, and Product. Build executive relationships with the leadership of key customers and facilitate customer engagement. Collaborate with cross-functional Dataiku leadership to scale the ecosystem of partnerships. Represent Dataiku at industry events in a manner that reflects and upholds Dataiku’s core values. What You'll Need To Be Successful Sales track record in India. Strong extensive experience in successfully building and scaling channel resellers program and network in the region that contribute significantly to sales growth.. Extensive experience working with local partners. Domain expertise of modern AI/ML and cloud computing technologies. Be fluent in what’s relevant to the C-Suite today. Connections within our target technology, system integrator and consulting partners, which include: Snowflake, Databricks, AWS, Google, Microsoft, Accenture, Deloitte, PWC, KMPG, Capgemini, DXC, Tech Mahindra, Wipro, and others. Know their businesses and the people that drive them. 10+ years of track record in software sales within the Data / AI industry, technology / cloud computing, SI, and consulting companies in India. A collaborative connector and influential leadership style that drives results. Be able to align stakeholders and get people on the journey to achieve desired objectives and results for the region. Preference for candidates based in Mumbai. What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here. Show more Show less

Summary Provide analytics support to Novartis internal customers (CPOs & Regional marketing and sales teams) on various low-medium complexity analytical reports. -Support and facilitate data enabled decision making for Novartis internal customers by providing and communicating qualitative and quantitative analytics. -Support GBS -GCO business in building practice by involving in various initiatives like knowledge sharing, on-boarding and training support, support team lead in all business related tasks / activities, building process documentation and knowledge repositories -To be an integral part of a comprehensive design team responsible for designing promotional marketing materials. About The Role Position – Senior Analyst – MarTech Operations Location – Hyderabad Hybrid About The Role: The Martech Operations Sr. Analyst will be providing both strategic and operational support to internal customers - namely our regional marketing and sales teams across various marketing technology programs and products. The responsibilities encompass managing multiple platforms and products, ensuring their optimal utilization and seamless operation. This individual will use a detailed understanding of data flows across assorted Martech platforms to streamline processes for optimized efficiency and business outcomes. The incumbent will also drive the evolution and adoption of new platform features among stakeholders. Additionally, the Martech Operations Sr. Analyst will leverage the existing platform infrastructure effectively to facilitate various business processes. They will also contribute to the growth of the Martech business practices through knowledge sharing, providing training support, aiding team leads with business-related tasks, and developing comprehensive process documentation and knowledge repositories. This challenging yet rewarding role calls for a dynamic individual who enjoys managing multiple platforms, proposing and driving new features, and leveraging platform infrastructure for efficient business operations. The contribution of the Martech Operations Sr. Analyst will be essential for harnessing the true potential of Martech products within our organization, thus ensuring our position as a market leader. Your Responsibilities Include, But Are Not Limited To: Able to manage programs / projects using Agile principles (either Scrum / Kanban) and drive efficient operations. Ensure seamless integration of MarTech platforms to support a unified customer engagement ecosystem. Identify and implement best practices for platform utilization, driving operational efficiency and scalability. Stakeholder Engagement - Builds relationships with key stakeholders and seeks to understand their priorities. Creates rapport and builds trust by establishing common ground, showing empathy, acting with integrity, being reliable and responsive. Business mindset - Proposes changes to maximize business benefits. Collaborates in own team and cross functionally to maximize business benefits. Keeps others informed. Digital and Technology - Systematically advances the application of digital and technology solutions with stakeholders. Contributes to and rigorously executes digital and technology strategy. Focuses investments on best solutions. Essential Requirements: Communicates clearly and keeps others informed on business topics. Collaborates with Novartis colleagues to develop a shared understanding of what creates value for internal Novartis stakeholders. Adhere structured project management approach with appropriate documentation and communication throughout the delivery of services Create and maintain standard operating procedures (SOPs), quality checklists that will enable excellent quality outputs for all outputs within the function Ability to manage multiple stakeholders and Pharmaceutical industry domain knowledge. Subject matter expertise (SME) in MarTech tools, including CRM, (marketing automation, web, and content management is plus) Ability to provide efficient, timely, reliable, and courteous service to country business team. Ability to effectively present information Comply with all internal functional operating procedures like time tracking, KPI tracking and reporting, and other internal systems and processes Desirable Requirement: Education: Pharma / Science /Engineering /Math / Statistics with post-graduation. Minimum of 5+ years’ experience in CRM, Salesforce with strong focus on stakeholder engagement. Excellent written and verbal skills. Strong interpersonal and emotion quotient. Third Party (Customer/Vendor/Buyer) & Liaison Management. Certified CRM admin, Hands on to Excel, SQL, DataIku, Alteryx and PowerBI is preferable Strong and proactive business results-focus, and proven ability to provide insights that increase productivity Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment To Diversity And Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to diversityandincl.india@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network Benefits and Rewards: Read our handbook to learn about all the ways we’ll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards Show more Show less

Job Title: Senior Data Quality Assurance Analyst Career Level :: D Introduction to role: Are you ready to play a pivotal role in transforming data quality within a global pharmaceutical environment? Join our Operations Global Data Office as a Senior Data Quality Assurance Analyst, where you'll be instrumental in developing solutions to enhance data quality within our SAP systems. Your expertise will drive the creation of data quality rules and dashboards, ensuring alignment to standards and governance policies. Collaborate with data stewards and business owners to develop code for monitoring and measuring data quality, focusing on root cause analysis and prevention of data issues. Are you solution-oriented and passionate about testing? This is your chance to make a significant impact! Accountabilities: Develop and support the creation of data quality dashboards in Power BI by extracting data from various Global SAP systems into Snowflake. Work extensively with collaborators to define requirements for continuous data quality monitoring. Provide extensive data analysis and profiling across a wide range of data objects. Develop and implement the data quality framework and operating model. Focus on high levels of process automation to ensure data and results are up-to-date. Conduct extensive data analysis to detect incorrect patterns in critical data early. Facilitate matching or linking multiple data sources together for continuous DQ monitoring. Embed ongoing data quality monitoring by setting up mechanisms to track issues and trends. Conduct root cause analysis to understand causes of poor quality data. Train, coach, and support data owners and stewards in managing data quality. Essential Skills/Experience: Experience developing and supporting the creation of data quality dashboards in Power BI, by extracting data from various Global SAP systems into Snowflake and develop rules for identifying DQ issues using Acceldata or something similar. Demonstrated experience & domain expertise within data management disciplines, including the three pillars of data quality, data governance and data architecture. Advanced programming skills in T-SQL or similar, to support data quality rule creation. Advanced data profiling and analysis skills evidenced by use of at least one data profiling analysis tool. For example, Adera, DataIKU or Acceldata. Strong ETL automation and reconciliation experience. Expert in extracting and manipulating and joining data in all its various formats. Excellent visualizing experience, using Power BI or similar for monitoring and reporting data quality issues. Key aspect of the role is to create self-serve data quality dashboards for the business to use for defect remediation and trending. Excellent written and verbal communication skills with the ability to influence others. to achieve objectives. Experience in Snowflake or similar for data lakes. Strong desire to improve the quality of data and to identify the causes impacting good data quality. Experience of Business and IT partnering for the implementation of Data Quality KPIs and visualisations. Strong Team member management skills with a good attention to detail. Ability to work in fast-paced, dynamic environment and manage multiple streams of work simultaneously. Experience of working in a global organisation, preferably within the pharmaceuticals industry. Experience of working in global change projects. Extensive knowledge of data quality with the ability to develop and mature the data quality operating model and framework. Knowledge of at least one standard data quality tool. For example, Acceldata, Alteryx, Aperture, Trillium, Ataccama or SAS Viya. Desirable Skills/Experience: Using one of the following data lineage or governance tools or similar. For example, Talend or Collibra. Experience in working in a complex MDG SAP data environment. Experience of any of the following for data cleansing – Winshuttle or Aperture Working within a lean environment and knowledge of data governance methodologies and standards. Knowledge of automation and scheduling tools. Extensive knowledge of risk and data compliance. Experience in data observability using AI pattern detection. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. At AstraZeneca, innovation is at the heart of everything we do. We embrace change by trialing new solutions with patients and business needs in mind. Our diverse workforce is united by curiosity, sharing findings, and scaling fast. Be part of a digitally-enabled journey that impacts society, the planet, and our business by delivering life-changing medicines. Ready to make a difference? Apply now! Show more Show less