35 Thoughtspot Jobs

You are a strategic thinker passionate about driving solutions in BI and Analytics (Alteryx, SQL, Tableau), and you have found the right team. As a BI Developer Senior Associate within the Asset and Wealth Management Finance Transformation and Analytics team, you will spend each day defining, refining, and delivering set goals for our firm. **Key Responsibilities:** - Design the technical and information architecture for the MIS (DataMarts) and Reporting Environments. - Focus on data modeling and database design for the AWM LOB. - Support the MIS team in query optimization, and deployment of BI technologies including but not limited to Alteryx, Tableau, Databricks, MS SQL Server (T SQL programming) /SSIS and SSRS. - Design and develop complex dashboards from large and/or different data sets. - Scope, prioritize and coordinate activities with the product owners. - Partner with technology teams to identify solutions required to establish a robust MIS environment. - Design and develop complex queries which cater to data inputs for the dashboards/reports from large data sets. - Work on the agile improvements by sharing experiences and knowledge with the team. Advocate and steer the team to implement CI/CD (DevOps) workflow. - Overall, the ideal candidate for this position will be highly skilled in reporting methodologies, data manipulation & analytics tools and have expertise in the visualization and presentation of enterprise data. **Qualifications Required:** - Bachelor's Degree in MIS, Computer Science, or Engineering. Different fields of study, with significant professional experience in BI Development, are acceptable. - 12+ years of experience in Data warehousing, ETL, and visualization. - Strong work experience in data wrangling tools like Alteryx. - Working proficiency in Data Visualization Tools. Experience with BI technologies including Alteryx, Tableau, MS SQL Server (SSIS, SSRS), Databricks, ThoughtSpot. - Working knowledge of querying data from databases such as MS SQL Server, Snowflake, Databricks, etc. - Strong knowledge of designing database architecture and building scalable visualization solutions. Ability to write complicated yet efficient SQL queries and stored procedures. - Experience in building end-to-end ETL processes. - Experience in working with multiple data sources and handling large volumes of data. - Experience in the conversion of data into information. - Experience in the end-to-end implementation of Business Intelligence (BI) reports & dashboards. - Good communication and analytical skills. The job description does not provide any additional details about the company.,

As a BI Architect at InfoCepts, you will be responsible for designing, developing, supporting, and steering end-to-end business intelligence solutions using Strategy. InfoCepts is a global leader in data and analytics solutions with a focus on enabling customers to derive value from various data-driven capabilities. You will be part of a team of over 1200 professionals working on cutting-edge technology solutions with a mission to transform customers" journeys through data-driven modernization. Key Responsibilities: - Architect and design solutions by conducting current state assessments, prescribing D&A modernization strategies, and creating data-culture transformation roadmaps. - Provide advisory and consulting services by driving engagements in areas of expertise, supporting pre-sales activities, and developing offerings. - Systematically develop and maintain offerings by supporting offering development, leading pilot implementations, and creating implementation methodologies. - Contribute to organizational strategy by providing thought leadership, establishing innovation labs, and supporting GTM partnerships. Qualifications Required: - Technical expertise in Strategy - Leadership skills to guide development teams and assist with technical blockers - Experience in developing reusable artifacts/frameworks and industry solutions - Strong written and verbal communication skills in English - Decent understanding of data warehousing concepts Good to Have: - Expertise in analytics platforms such as Tableau, Power BI, Qlik, ThoughtSpot, Domo, SSRS - Strong experience in designing end-to-end Strategy projects - Identifying and exploiting new technologies for new and existing accounts - Building capacity and developing talent for the Competency Centre Additional Company Details: InfoCepts has been recognized as Gartner Peer Insights Customers" Choice for two consecutive years in 2020 and 2021. The company is certified by Great Place to Work, India in 2021 & 2022, highlighting the high-trust and high-performance work culture. The award-winning reusable solutions approach is well-recognized in the D&A industry, allowing associates to leverage collective expertise and deliver exceptional customer experiences. If you possess a Bachelor's degree in computer science, engineering, or a related field (a master's degree is a plus), along with at least 8+ years of relevant experience, and demonstrated continued learning through certifications, you are encouraged to apply. The ideal candidate will be self-motivated, possess strong interpersonal skills, and be able to work effectively in cross-functional teams and different time zones, while quickly acquiring and developing new capabilities and skills.,

As a Cloud Data Platform Engineer, you will lead all aspects of a database platform. This includes database design, security, DR strategy, standard processes development, new feature evaluations, workload analysis for optimization opportunities at both system and application levels. Your responsibilities will involve driving automation efforts for effective database platform management and creating self-service solutions for users. Collaborating with development teams, product managers, and business users is essential to review, optimize, and tune solution designs. Additionally, you will address platform-wide performance and stability issues. This role requires someone who embraces challenges, approaches problems with innovative solutions, excels in collaborative environments, and contributes to building and supporting a large Enterprise Data Warehouse. Minimum Qualifications: - 4+ years of database technology experience with Snowflake (preferred), Teradata, BigQuery, or Redshift. - Proficiency in Advanced SQL. - Experience in DBA functions, DR strategy, data security, governance, automation, and tooling for database platforms. Key Qualifications: - Proficiency in object-oriented programming with Python or Java. - Ability to analyze production workloads and develop efficient strategies for running the Snowflake database at scale. - Expertise in performance tuning, capacity planning, cloud spend management, and utilization. - Experience with SaaS/PaaS enterprise services on GCP/AWS or Azure (preferred). - Familiarity with in-memory database platforms like SingleStore (a plus). - Experience with Business Intelligence (BI) platforms such as Tableau, Thought-Spot, and Business Objects (a plus). - Strong communication and interpersonal skills: capable of effective collaboration with various functional groups in project teams and a strong sense of project ownership. Education & Experience: - Bachelor's Degree in Computer Science Engineering or IT from a reputable school. Please submit your CV for consideration.,

Enhance tech efficiency and drive product development with cutting-edge analytics in your data science career. As a Data Scientist Associate within the Data and Analytics team, you will enhance productivity and efficiency by providing business intelligence and analysis related to programs that improve the developer experience. You will collaborate with product managers, engineers, and stakeholders to translate business objectives into data-driven solutions. Analyze complex data sets to identify trends and opportunities for improvement in the product development life cycle. Develop predictive models and machine learning algorithms to forecast product performance. Design experiments to test hypotheses and validate model outcomes. Create dashboards and reports to visualize key metrics and insights. Stay updated with industry trends and best practices in data science. Mentor data scientists and contribute to a collaborative team environment. Required Qualifications, Capabilities, and Skills: - Minimum 3 years of experience in data science or analytics. - Bachelors degree in data science, Statistics, Computer Science, or related field. - Strong problem-solving skills and learning aptitude. - Experience with data analytics and visualization techniques (e.g., SQL, Python, Tableau). - Exceptional communication and presentation skills. - Expertise in machine learning, statistical modeling, and data mining. - Ability to work independently and collaboratively in a dynamic environment. Preferred Qualifications, Capabilities, and Skills: - Experience with Agile methodologies and proficiency in Atlassian tools like Jira. - Familiarity with analytics engineering tools like dbt and Airflow. - Understanding of DevEx metrics and software deployment pipelines. - Experience with ThoughtSpot or similar data visualization tools and familiarity with AI technologies and POC development.,

We have an exciting and rewarding opportunity for you to take your Data Scientist career to the next level. As the Data Scientist Lead within our Machine Learning and AI team, you will have the opportunity to develop and productionize high-quality machine learning models, services, and platforms that create significant technological and business impact. You will collaborate with cross-functional teams to identify business requirements and develop data-promoted solutions using GenAI technologies. Your role will involve designing scalable data processing pipelines, building and maintaining data lakes, and implementing data visualization solutions to provide actionable insights. You will also champion a DevOps model to support the maturity of the ML development life cycle. Job Responsibilities: . Develop and productionize high-quality machine learning models, services, and platforms to create significant technological and business impact. . Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes. . Use LLMs for Generative AI applications, including text generation, classification, and question answering. . Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using GenAI technologies. . Build and maintain data lakes and data processing workflows using Databricks to support machine learning operations. . Implement data visualization and analytics solutions using ThoughtSpot to provide actionable insights to stakeholders. . Conduct research on prompt engineering techniques to enhance the performance of LLM-based models. . Analyze and interpret complex datasets to evaluate model performance and identify areas for improvement. . Communicate technical concepts and results effectively to both technical and non-technical stakeholders. . Develop end-to-end ML pipelines for real-time and batch predictions and integrate them with existing applications. . Champion a DevOps model and support the maturity of the ML development life cycle (MDLC). Required Qualifications, Capabilities, and Skills: . Advanced degree in Computer Science, Data Science, Mathematics, or a related field. . 8+ years of applied experience in data science, machine learning, or related areas. . Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch or TensorFlow. . Experience in building and managing data lakes and data processing workflows using Databricks. . Proficiency in using GenAI models (OpenAI or similar) to solve business problems and in building AI Agents and MCP Servers . Solid understanding of data structures, algorithms, and machine learning concepts. . Experience in NLP and deep learning, with recent exposure to prompt engineering on LLMs and with big data technologies (Hadoop, Spark, etc.) . Hands-on experience with MLOps tools and practices, ensuring seamless integration of models into production environments. . Experience with Enterprise Cloud infrastructure and monitoring tools like Data Dog,, Splunk, Elasticsearch, and Grafana. Preferred Qualifications, Capabilities, and Skills: . Familiarity with data visualization tools like ThoughtSpot. . Experience in developing APIs and integrating machine learning models into software applications. . Knowledge of modern development technologies and tools such as Agile, CI/CD, Git, Terraform, and Jenkins.

Job Title Ind & Func AI Value Strategy Consultant S&C GN Management Level: 09 - Consultant Location: All locations Must have skills: ML algorithms, NLP and Predictive Analytics, Conversational Analytics, Python, Cloud Knowledge (Azure/AWS/GCP), Proficiency in BI tools (Power BI/Tableau/ Qlik Sense/ThoughtSpot/Figma etc.). Leverages artificial intelligence and machine learning techniques to enhance BI processes along with consulting experience of AI driven BI Transformations (Defining BI Governance, Operating model, Assessment Framework etc.) Good to have skills: Knowledge of Gen AI Models implementation (Open AI, Mistral, Phi-2, Solar, Claude 3 etc.), Agentic architecture implementation About S&C - Global Network :- Accenture Strategy & Consulting Global shapes our clients future, combining deep business insight with the understanding of how technology will change industry and business models. Our focus on issues related to business intelligence, Analytics and data insights using AI & GEN AI strategy and solutions. Today, digital is changing the way organizations engage with their employees, business partners, customers, and communities. This is our unique differentiator. To bring this global perspective to our clients, Accenture Strategy's services include those provided by our S&C Global Network a distributed management consulting organization that provides management consulting and strategy expertise across the client lifecycle. Our S&C Global Network teams complement our in-country teams to deliver innovative expertise and measurable value to clients all around the world. WHATS IN IT FOR YOU Youll be part of a diverse, vibrant, BI Strategy team which has dynamic and innovative group of creating Data and BI Strategy & Consulting professionals. We understand the vision and mission of our customers & help them by developing innovative BI Strategy with value driven use cases, roadmap & technological solutions that drive business growth and innovation. As a key pillar of our organization, the Engineering Products team worked on various fields from BI , Data & AI perspective- BI Strategy, AI Enabled BI Strategy, Data Modelling, Data Architecture, Industry & AI Value strategy etc. that helps our customers in setting up strong data platform foundation & target roadmap to scaling & evolve towards achieving AI/GEN AI & advanced analytics vision to meet the evolving future needs of technology advancement. What you would do in this role Participate in visioning workshop & develop innovative BI Strategy & architecture frameworks tailored to the unique goals and aspirations of our clients, ensuring alignment with their evolving needs and preferences. Conduct comprehensive evaluations of clients' existing processes, technologies, and data ecosystems, uncovering opportunities for AI integration that resonate with Gen AI values and lifestyles. Align with industry & function teams, understand business problems, and translate it to BI , BI Governance , AI enabled BI and Operating Model , Develop target strategy with respect to Business Intelligence, Tools & Technology, BI Operating Model, BI Governance, AI Enabled BI needs along with Key initiatives & roadmap. Propose best suited LLMs (Large Language Model-GPT 3.5, 4, Llama etc.) as per the selection criteria framework & serve as a trusted advisor to our clients, offering expert guidance on AI Enabled BI Propose adoption strategies that resonate with BI and plan persona-based BI strategy for enterprise function. Work closely with cross-functional teams to co-create and implement innovative . He should be able to define personas and persona journey from functional and technical aspects with respect to Business Intelligence Able to architect , delivery and design BI Enabled AI solutions that address the complex challenges faced by customers and businesses. Participate in client engagements with confidence and finesse, overseeing project scope, timelines, and deliverables to ensure seamless execution and maximum impact. Facilitate engaging workshops and training sessions to empower BI Client stakeholders with the knowledge and skills needed to embrace Data driven transformation enabled through AI. Stay abreast of emerging BI , Data and AI analytics trends and technologies, continuously improving internal capabilities and offerings. Participate in BI, AI Enabled BI and Analytics aligned solutions and client demos. Who are we looking for Years of Experience: Candidates should typically have at least 6-9 years of experience in BI strategy, management, or a related field. This experience should include hands-on involvement in developing and implementing BI strategies for clients across various industries. Education: A bachelors or masters degree in computer science, Data Science, Engineering, Statistics, or a related field. Add eligibility: Strong analytical and strategic thinking skills are essential for this role. Candidates should be able to assess clients' business processes, technologies, BI, AI and data infrastructure to find opportunities for BI and AI Enabled BI integration and develop tailored BI strategy frameworks aligned with clients' goals. Displayed expertise in artificial intelligence technologies, including machine learning, natural language processing, computer vision, and deep learning. Candidates should have a solid understanding of AI concepts, algorithms, and their applications in solving real-world business problems. Excellent communication and presentation skills are crucial for effectively articulating complex technical concepts to non-technical stakeholders. Candidates should be able to convey AI strategy recommendations in a clear, concise, and compelling manner. Knowledge of cloud computing services (AWS, Azure, GCP) related to scaled AI and data analytics solutions. The ability to collaborate effectively with cross-functional teams is essential for this role. Candidates should be comfortable working with diverse teams to design and execute AI solutions that address clients' business challenges and deliver measurable results. Candidates should have a strong understanding of Gen AI preferences, behaviors, and values. Candidate should have understanding & working knowledge of various large language models to propose and implement best suited LLMs to our customer based on AI strategies that resonate with Gen AI Working experience with machine learning algorithms and statistical modeling techniques. Knowledge on MLOPs tools and services from strategic mindset will be a plus. Desired experience. Minimum 6 years of experience working with clients in the products industry (Lifesciences, CPG, Industry & Ret that are heavily influenced by AI & Gen AI preferences and behaviors, is highly valued. Candidates who have a deep understanding of AI & Gen AI trends and market dynamics can provide valuable insights and strategic guidance to clients. Minimum 5 years proven experience & deep expertise in developing and implementing AI strategy frameworks tailored to the specific needs and aims of clients within LS, Industry, CPG, and Retail sectors. The ability to craft innovative AI solutions that address industry-specific challenges and drive tangible business outcomes will set you apart. Minimum 6 years strong consulting background with a demonstrated ability to lead client engagements from start to completion. Consulting experience should encompass stakeholder management and effective communication to ensure successful project delivery. Minimum 4 years strong working experience AI implementation lifecycle & working knowledge in the AI and Analytics lifecycle, including problem definition, data preparation, model building, validation, deployment, and monitoring. Tools & Techniques Knowledge of UI/UX design using React, Angular & Visualization tools-Power BI/Tableau/Qlik Sense Knowledge on Cloud and native services around AI & GEN AI implementation-AWS/Azure/ GCP Have worked hands on Programming languages such as Python, R, SQL or Scala. Working knowledge AI and analytics platforms and tools, such as TensorFlow, PyTorch, KNIME, or similar technologies Working Knowledge on NLP (Natural Language Processing) techniques-text summarizer, text classification, Named Entity Recognition etc. Working Knowledge on various machine learning models-Supervised unsupervised, classification, regression model, Reinforcement learning, Neural networks etc., Knowledge on LLMs-Open AIGPT, Llama Index etc. Knowledge of ML Ops deployment, process tools & strategy (ML Flow, AWS Sage maker etc. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law. Qualification Experience: Minimum 4 year(s) of experience is required Educational Qualification: B.Tech/BE

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Data Measurement & Reporting Lead Analyst Excited to grow your career We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position, you see is right for you, we encourage you to apply! Our people make all the difference in our success. ROLE SUMMARY: Evernorth's Digital Data & Analytics (D&A) unit offers solutions that provide actionable insights to internal and external business partners and customers that help reduce health costs, improve outcomes, provide financial security and measure and forecast business performance. The Digital Data & Analytics (D&A) team has joint accountability with business operations to achieve Evernorth's customer-centric, business growth objectives and strives for high levels of alignment, day-to-day engagement, and. The team provides analytical discipline and rigor to enable fact-based decisions for the business. The ideal candidate for this role will be highly motivated, flexible, and embrace change. The person will work closely with Evernorth Internal customers and Business partners to define, develop, and analyze Business Intelligence requirements and deliverables. This individual will work in a highly matrixed environment with end users from various business areas. Moreover, the individual will contribute to user training and adoption of the BI tools available in Evernorth and implement all the necessary governance procedures. RESPONSIBILITIES: - Works with internal Evernorth customers and Business partners to develop and analyze business intelligence needs. - Conduct requirement discussion sessions with stakeholders from various business areas, identify common gaps or challenges across different verticals. - Ability to prioritize business needs based on conversations. - Communicate effectively with both business partners and data SMEs. - Works on multiple tasks / projects as a team member. - Create business requirement documents for the design of solutions. - Identifies and provides input to new technology opportunities that will have an impact on overall Digital Data & Analytics wide BI systems. - Participates in work stream planning process including inception, technical design, development, data model, testing, and delivery of BI solutions. - Develops demand forecasts and project timelines. - Designs and delivers end-user training and training materials. - May perform analysis for a wide range of requests using data in different formats and from various platforms. - Research business problems and create models that help analyze these business problems. - Provides design support for the development of business intelligence solutions. - Provide trainings to internal business users and lead several business BI forums to build a healthy BI community within Evernorth. - Ensure Quality / Integrity of data by comparing source data and target data. QUALIFICATIONS: - Business or Masters degree in MIS, Business, Computer Science, or equivalent work experience and training. - Total 5-8 years of experience with 5+ years of professional experience in SQL. - 5+ years of professional experience in building visualizations, dashboards, and reports using BI Tools (e.g. Tableau, ThoughtSpot, Qlik sense, Looker, etc). - 3+ years hands-on experience working in an agile project delivery environment. - Evernorth experience a plus, preferably focused on experience with CCW or data warehousing. - Strong requirements analysis skills with data experience. - Demonstrated experience in data informatics & data exchange, particularly using healthcare and clinical data such as: Claims, Membership, Client Structure, Benefits, Utilization Management/Case Management etc. - Experience applying a consultative and collaborative approach. Work experience & expertise with team input to influence business priorities and business actions for maximum strategic benefit. - Demonstrated experience working independently with limited direction / guidance. - Demonstrable experience in the areas of BI development or data science. - Defining and documenting requirements. - Ability to review and analyze code to help decode or research data issues using technologies such SQL, SAS, Python, etc.,

As a Power BI Professional at YASH Technologies, you will be responsible for leveraging your 4-6 years of experience in Power BI and SQL to drive business transformation through cutting-edge technologies. Your role will involve hands-on experience in scripting, data source integration, and advanced visual development in Power BI. Additionally, you will be expected to have knowledge of Tableau, Thoughtspot, Cognos, and Bobj. Your key responsibilities will include performance tuning of BI reports, writing complex DAX queries, and possessing strong SQL Server/PL SQL database skills. You will be required to have a deep understanding of relational and multidimensional database design, OLTP, OLAP, KPIs, Scorecards, and Dashboards. Moreover, your expertise in data modeling techniques for analytical data and excellent communication skills with business users will be essential. In terms of technical competencies, you should excel in requirement gathering & analysis, application design, architecture tools & frameworks, estimation & resource planning, technology/product knowledge, customer management, project management, and domain/industry knowledge. You will be empowered to create a career path within an inclusive team environment that encourages continuous learning and growth. YASH Technologies offers a Hyperlearning workplace grounded on principles such as flexible work arrangements, free spirit, emotional positivity, agile self-determination, trust, transparency, open collaboration, support for business goals realization, stable employment, great atmosphere, and an ethical corporate culture. Join us in bringing real positive changes in an increasingly virtual world and driving innovation beyond generational gaps and disruptions of the future.,

Senior Associate, Data Management & Quantitative Analysis At BNY, our culture allows us to run our company better and enables employees growth and success.As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide. Recognized as a top destination for innovators and champions of inclusion, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary. We're seeking a future team member for the role of Senior Associate, Data Management & Quantitative Analysis to join our Operations Metrics & Benchmarking team. This role is located in Pune In this role, you'll make an impact in the following ways: Develop, maintain, and enhance client and operations metrics reporting frameworks. Perform benchmarking analysis against peer organizations to identify performance gaps and opportunities. Utilize digital tools such as Alteryx to develop efficient workflows that eliminate manual touchpoints. Additionally, leverage Power BI, Tableau, or ThoughtSpot to create interactive dashboards and visualizations that effectively communicate data insights. Leverage Eliza GPT AI capabilities to analyze complex data sets and generate narrative-driven insights for business reviews. Collaborate with cross-functional teams to ensure data accuracy, consistency, and relevance. Support MBRs and IBRs by providing actionable insights and trend analysis across various platform metrics. Stay current with industry best practices in data analytics, visualization, and AI-driven storytelling To be successful in this role, we're seeking the following: Proven experience in data management, quantitative analysis, and metrics reporting. Minimum 7 years of total work experience required Proficiency in Alteryx, Power BI, Tableau, or ThoughtSpot for data visualization. Familiarity with AI tools, specifically Eliza GPT, for data storytelling and insight generation. Strong analytical skills with the ability to interpret complex data and translate it into clear business insights. Excellent communication skills to present findings effectively to stakeholders. Experience in benchmarking and comparative analysis. Ability to work independently and collaboratively in a fast-paced environment. At BNY, our culture speaks for itself, check out the latest BNY news at: Here's a few of our recent awards: America's Most Innovative Companies, Fortune, 2025 World's Most Admired Companies, Fortune 2025 Most Just Companies, Just Capital and CNBC, 2025 Our Benefits and Rewards: BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Job Description Jr. 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 3+ 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) 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 anothers 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: Amazon Web Services (AWS), Applied Engineering, Biopharmaceutical Industry, Biopharmaceutics, Business Intelligence (BI), Communication, Computer Science, Data Management, Data Modeling, Data Science, Data Visualization, DevOps Engineering, Healthcare Innovation, Hospital Medicine, Management Process, Measurement Analysis, Pharmacology, Pharmacotherapy, Stakeholder Relationship Management, Statistical Data Modeling, Waterfall Model Preferred Skills Job Posting End Date: 08/29/2025 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: R360768 Show more Show less

Based in Hyderabad, you will have the opportunity to join a global healthcare biopharma company with a 130-year legacy of success. This company is committed to ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. You will be part of an organization that is at the forefront of digital technology and data-backed approaches, supporting a diversified portfolio of prescription medicines, vaccines, and animal health products. As a leader within this organization, you will have a passion for utilizing data, analytics, and insights to drive decision-making and address some of the world's most significant health threats. The Technology Centers play a crucial role in creating a collaborative space where teams work together to deliver business solutions that align with the company's purpose of saving and improving lives. These Tech Centers, distributed globally, are integral to the company's IT operating model and digital transformation journey. As a Lead Technical Data and Analytics Architect, you will play a pivotal role in shaping the company's enterprise data and analytics portfolio. This position requires a blend of strategic technology leadership and hands-on technical expertise. You will lead a small team of architects, fostering collaboration and ensuring high-quality delivery across multiple product lines. Your responsibilities will include developing and maintaining a cohesive architecture vision, providing leadership to the team of architects, fostering a collaborative environment for innovation and best practices, collaborating with product teams on product design and integration, driving the adoption of cutting-edge technologies, establishing and governing architectural frameworks, creating capability and technology maps, and providing hands-on technical leadership. To excel in this role, you should have proven leadership experience, deep technical expertise in data engineering, data management, data governance, cloud technologies, and Generative AI technologies. Strong communication, presentation, and stakeholder management skills are essential, along with a passion for innovation and the ability to balance strategic leadership with hands-on technical contributions. At this company, employees are encouraged to propose innovative solutions that enable new organizational capabilities. Collaboration is key, as technology teams work as business partners to deliver services and solutions that enhance productivity and drive innovation. If you are seeking a role where you can contribute to saving and improving lives globally, leverage your technical expertise, and be part of a team dedicated to innovative health solutions, this opportunity may be the perfect fit for you. Join us in our mission to make a positive impact in the world.,

At EY, you will have the opportunity to develop a career that is as unique as you are, supported by a global scale, inclusive culture, and cutting-edge technology to help you reach your full potential. Your distinctive voice and perspective are essential in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional experience for yourself but also contribute to building a better working world for all. As an RCE - Risk Data Engineer/Lead, you will be part of our dynamic Technology team that is dedicated to developing innovative digital solutions on a global scale in the Financial and Non-Financial services sector. In this senior technical role, you will utilize your expertise in data engineering, cloud infrastructure, platform operations, and production support using advanced cloud and big data technologies. The ideal candidate, with 3-6 years of experience, will have strong technical skills, a passion for learning, and a focus on supporting Financial Crime, Financial Risk, and Compliance technology transformation. Collaboration, adaptability, and a willingness to acquire new skills are key attributes needed for success in this fast-paced environment. As a Senior Data & BI Analyst, you will play a vital role in the Enterprise Analytics Center of Excellence (COE), driving self-service analytics adoption within the organization using tools like ThoughtSpot and Tableau. Your responsibilities will include contributing to the COE's growth, serving as a subject matter expert in enterprise data, collaborating with business users to understand their analytics needs, and providing training sessions to enhance user proficiency with BI tools. Your technical expertise, strategic consulting skills, and passion for data-driven decision-making will be crucial in supporting the organization's analytics initiatives. Key Responsibilities: - Contribute to the development of the Enterprise Analytics COE and establish governance standards. - Guide end users in identifying and utilizing key data sources within the enterprise lakehouse. - Collaborate with business users to address their analytics requirements and offer advice on BI tool selection and data strategies. - Conduct training sessions for ThoughtSpot and Tableau users to enhance self-service analytics capabilities. - Perform hands-on data analysis to uncover insights and showcase tool functionalities. - Create reusable analytics templates, dashboards, and frameworks to drive consistency and efficiency. - Support teams in dashboard development and implementation of best practices. - Stay informed about the latest BI trends, ThoughtSpot/Tableau advancements, and AI-driven analytics to drive innovation. Required Qualifications: - Experience as a Technical Data Analyst, BI Analyst, or Business Analyst in an enterprise setting. - Proficiency in SQL, large dataset handling, data warehousing, ETL processes, and BI reporting tools like Tableau, Power BI, Qlik, and ThoughtSpot. - Strong analytical and problem-solving skills with the ability to collaborate effectively across teams. - Excellent stakeholder management skills and the capacity to communicate technical insights to non-technical audiences. Preferred Qualifications: - Hands-on experience with the ThoughtSpot BI Platform. - Knowledge of financial services and financial data structures. - Familiarity with cloud-based BI platforms such as AWS, Azure, etc. - Understanding of Natural Language Processing (NLP), AI-driven data aggregation, and automated reporting technologies. At EY, we are dedicated to building a better working world by creating long-term value for clients, people, and society while fostering trust in the capital markets. Our diverse teams across 150 countries leverage data and technology to provide assurance, drive growth, transformation, and operational excellence for our clients. By asking better questions and finding innovative solutions, EY teams address the complex challenges of today's world.,

Role & responsibilities Migrating existing Power BI dashboards to ThoughtSpot and creating new, insightful dashboards on the platform. Involved in designing and developing scalable ThoughtSpot dashboards, optimizing them for performance, usability, and standardization across different data sources. Data transformation, modeling, and cleansing will also be part of your tasks to ensure high data quality in ThoughtSpot. Additionally, you will be expected to provide recommendations for enhancing user experience and insights through features like AI-driven SpotIQ and assist in setting up and optimizing ThoughtSpot's integration with external data sources and BI tools. Preferred candidate profile Eexperience with ThoughtSpot's TQL (ThoughtSpot Query Language) for advanced query operations, hands-on experience with ThoughtSpot's DataFlow and Embrace for data ingestion and external database integration, proficiency in setting up Pinboards, Liveboards, and advanced visualizations in ThoughtSpot. Strong SQL skills for data extraction, transformation, and loading (ETL) processes are also required. Familiarity with connecting ThoughtSpot to external sources like Snowflake, Google BigQuery, or Azure Data Warehouse and knowledge of Power BI to ThoughtSpot migration processes would be advantageous. Experience with performance optimization and troubleshooting in ThoughtSpot is desirable as well.,

Chase is undertaking an ambitious digital transformation agenda, which builds on the success of the current mobile and online service offerings. Chase is investing in innovative ways to deepen customer engagement using digital channels. The ambition is to position Chase as the undisputed leader in digital financial services and payments to enable Chase to deliver the highly personalized, real-time experiences that customers increasingly expect. The Product Agility Tools team is developing the next generation of integrated solutions that give agile product teams actionable insights into the health and performance of their product. We're a cross-functional group that works closely together, and we pride ourselves on delivering best-in-class customer experiences. As the Platform Product Manager within the Product Agility Tools team, you will be an innovative thought-leader who thinks holistically about business, product, design, technology, data, and analytics. Job Responsibilities: Partner with the Lead Product Manager to define the product vision, roadmap, engagement metrics and OKRs Integrate data analytics, user experience research, competitor/market analysis, and business goals to help drive prioritization of product initiatives Refine user stories and epics to ensure work focuses on those with maximum value that are aligned with the overarching product strategy Drive scrum cadences in partnership with the scrum master (e.g., sprint retrospectives, sprint reviews, sprint planning, daily scrums) Continuous testing and validation of features/functionality ensuring the definition of done is met prior to production deployment Collaborate with customer success and UX research and design to understand customer experience pain points, leading to the ideation then development of new or enhanced features Required qualifications, capabilities, and skills Bachelor's degree or 8+ years of related product development experience Strong problem-solving skills and ownership mindset Commitment and self-motivation suitable to a start-up team in a large organization Exceptional time management, multi-tasking and prioritization skills Ability to work effectively in a highly matrixed and rapidly changing environment Excellent interpersonal and communication skills, both written and verbal Preferred qualifications, capabilities, and skills Strong understanding of, or experience working within, an Agile development framework Ability to think strategically, innovate and clearly communicate complex ideas Ability to independen tly influence senior executives and product stakeholders Proficiency with product management tools (e.g., Jira, Adobe Analytics, Figma) and BI tools (e.g., Tableau, ThoughtSpot)

Qualcomm India Private Limited is looking for a strategic leader with deep expertise in software development and analytics to lead a portfolio of distributed software solutions and services for core engineering teams in the semiconductor domain. As the Software Development Manager, you will be responsible for defining and executing the technology roadmap aligned with business goals, leading transformative initiatives, and managing a team of about 30 software developers and data engineers. Your role will involve providing technical expertise across a portfolio of software development and analytics projects, overseeing the entire software development lifecycle, and collaborating with global teams to ensure the delivery of high-quality software solutions and analytics that meet business objectives and customer needs. The ideal candidate should have 15+ years of hands-on experience in software development, leadership, and managing teams. Additionally, you should have a strong understanding of the semiconductor domain and chipset development lifecycle, proficiency in programming languages such as Java, C++, Python or similar, experience with technologies like Elastic, MongoDB, Redis, RabbitMQ, Tableau, Power BI, ThoughtSpot, etc., expertise in software lifecycle management, version control, CI/CD best practices, data engineering, and analytics, as well as experience with public cloud environments such as AWS, Azure, or Google Cloud. A bachelor's degree in Computer Science, Information Technology, or a related field is required. Minimum Qualifications include 7+ years of IT-related work experience with a Bachelor's degree or 9+ years of IT-related work experience without a Bachelor's degree, along with 4+ years in a leadership role in projects/programs. Qualcomm is an equal opportunity employer committed to providing reasonable accommodations for individuals with disabilities during the application/hiring process. If you are passionate about leading software development initiatives, fostering collaboration, and driving innovation in a global team environment, this role might be the perfect fit for you.,

Be part of a high-performing team at J.P. Morgan, driving data analytics solutions for KYC operations. Collaborate with professionals to transform raw data into actionable insights and contribute to a unified data and reporting solution, optimizing operations and regulatory compliance. As a Data & Reporting Analyst within the Wholesale KYC Operations Data & Reporting Team, you will deliver data and reporting commitments. Develop strategies for effective data analysis and implement analytics solutions for a 3000+ WKO organization. Collaborate with stakeholders to meet production, regulatory, and control needs. Build systems and tools to transform raw data into actionable business insights and KYC committed relations by BI tools. Develop technology solutions to aggregate data and metrics using BI Tools like Alteryx, Tableau Business Object, Qlik sense, etc. Prepare company-wide metrics and relevant data sources; select, configure & implement analytics solutions. Deliver all analytics operations to correct discrepancies and ensure quality by data analytics using complex queries, ETL, Reporting, Visualization, and dashboards. Extract & transform data from multiple sources like Oracle Database, AWS data lakes, Peoplesoft data tables, etc. Collaborate with LOB, Consumers, and Technology to deliver reporting needs for WKO consumers across Production Operational, Controls, Executive, and Regulatory commitments. Apply institutional knowledge from the KYC Operations and Reference Data industry. Requirements: - Bachelor's degree in Computer Science, Statistics, Data Management, or related field. - 2+ years of experience in Data & transformation, Business Analytics. - Strong analytical/critical thinking and problem-solving skills. - Ability to develop and present conclusions & potential solutions. - Ability to multi-task, work under tight deadlines, and adjust to changing priorities. - Capability to work independently with strong follow-through and adapt to a team environment. - Highly energetic self-starter with a focus on obtaining results. Preferred Skills: - Exposure and experience in data interrogation tools like Python, Qliksense, ThoughtSpot, etc. - Subject Matter Expertise across KYC, AML & Client Reference Data. - Focus on Business Intelligence tool space highly preferred.,

Be part of a high-performing team at J.P. Morgan, driving data analytics solutions for KYC operations. Collaborate with professionals to transform raw data into actionable insights. Contribute to a unified data and reporting solution, optimizing operations and regulatory compliance. As a Data & Reporting Analyst within the Wholesale KYC Operations Data & Reporting Team, you will deliver data and reporting commitments. Develop strategies for effective data analysis and implement analytics solutions for a 3000+ WKO organization. Collaborate with stakeholders to meet production, regulatory, and control needs. Build systems and tools to transform raw data into actionable business insights and KYC committed relations by BI tools. Develop technology solutions to aggregate data and develop metrics using BI Tools like Alteryx, Tableau, Business Object, Qlik Sense, etc. Prepare company-wide metrics and relevant data sources. Select, configure & implement analytics solutions. Deliver analytics operations to correct discrepancies and ensure quality through data analytics using complex queries, ETL, Reporting, Visualization, and dashboarding. Extract & transform data from multiple sources such as Oracle Database, AWS data lakes, Peoplesoft data tables, etc. Collaborate with the LOB, Consumers, and Technology to deliver reporting needs for WKO consumers across Production Operational, Controls, Executive, and Regulatory commitments. Apply institutional knowledge from the KYC Operations and Reference Data industry. Required qualifications, capabilities, and skills: - A bachelor's degree in Computer Science, Statistics, Data Management, or a related field. - 2+ years of experience in Data & transformation, with Business Analytics experience. - Strong analytical and critical thinking skills. - Ability to develop and present conclusions & potential solutions. - Ability to multi-task, work under tight deadlines, and adapt to changing priorities. - Capable of working independently and in a team environment. - Highly energetic self-starter with a focus on obtaining results. Preferred qualifications, capabilities, and skills: - Exposure and experience in data interrogation tools like Python, QlikSense, ThoughtSpot, etc. - Subject Matter Expertise across KYC, AML & Client Reference Data. - Focus in the Business Intelligence tool space is highly preferred.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Data Visualization Analyst within our Finance data and Insight team, your daily responsibilities will involve a dynamic blend of activities aimed at achieving the firm's objectives. You will begin by defining clear and measurable goals that align with the strategic vision of the organization. This involves understanding the financial data and identifying key performance indicators that will guide your analysis. In this role, you are responsible for various tasks that involve data extraction, transformation, analysis, and visualization. You need to utilize a range of tools to accomplish these tasks, including Alteryx for data preparation, Python for scripting and automation, SQL for database management, Tableau for creating interactive dashboards, and Thoughtspot for advanced data exploration and insights. Your job responsibilities will include utilizing ETL tools like Alteryx and Python to perform data extraction, transformation, and analysis, writing SQL queries to securely and accurately transfer critical datasets, ensuring seamless business continuity. You will also support the development and enhancement of data models and workflows by collecting and integrating data from diverse sources. Additionally, you will contribute to the development and enhancement of data visualization solutions using Tableau and/or ThoughtSpot, delivering intuitive insights and decision support for key stakeholders. It is essential to strive to understand stakeholder use cases to effectively anticipate their requirements, questions, and objectives. You will query data and merge information from diverse data sources to create rich datasets that enable better decision-making. Furthermore, you will analyze data using tools such as Tableau, Alteryx, SQL, and Thoughtspot to develop and automate reports or analysis that lead to actionable business insights. Required qualifications, capabilities, and skills include a Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field. A minimum of 1+ years of experience in financial solutions, data engineering, data science, or business intelligence within the financial services domain is necessary. Strong written and oral communication skills are essential, along with the ability to effectively engage stakeholders within and across teams. Proficiency in Tableau and Alteryx is required, as well as experience with relational databases utilizing SQL to pull and summarize large datasets. Being highly motivated and self-directed is a key attribute for success in this role.,

The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of Financial data and reporting across Consumer and Community Banking. The vision of the team is to enhance the lives of the people and increase value to the firm by harnessing the power of data and utilizing the best tools to analyze data, generate insights, save time, improve processes & control, and lead the organization in developing skills for the future. The overall product objectives include constructing a data environment that enables cross-business, product, customer-centric decision making and reporting needs across Consumer and Community Banking in a consistent framework, creating an ecosystem of dashboards sourced from authoritative data sources to replace manual management reporting, and eliminating user tools to save time and increase the ability to generate insights through data and dashboards. As a Data Domain Architect in CBB- field performance area, you will play a key role in bringing transformation in how Financial, Operational, and Behavioral Data are reported and analyzed across Consumer Banking and Business Banking within CCB. Your responsibilities will include but are not limited to discovering, sourcing, designing, and delivering data domains into the Databricks powered Data Mart, enabling the Finance function to support their analytical and reporting needs. You will need to understand the needs of Finance and make data discoverable and available for analytical and reporting purposes. Job Responsibilities: - Conduct comprehensive data discoveries, sourcing, and maintenance of Financial and Operational data to support Field Performance Reporting and analytical needs. - Develop detailed Data Requirement documentation aligned with overall data strategies and models. - Collaborate with the Technology team to develop and test data wrangling workflows, ensuring validation of business logic and outcomes. - Perform integration and regression testing of data components, ensuring compliance and control measures. - Proactively identify and resolve issues/challenges, highlighting potential risks to leadership. - Engage closely with end-users and IT during the UAT phase to validate that production results meet business requirements. - Serve as a subject matter expert in relevant areas, providing support and guidance to other team members. Required qualifications, capabilities, and skills: - Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field. - Over 10 years of experience in financial solutions, data engineering, data science, or business intelligence within the financial services domain. - Proven experience in building data models that accurately represent business requirements and ensure data integrity, with a strong understanding of data governance principles. - Expertise in database queries including SQL and NoSQL, proficient in ETL techniques. - Solid understanding of data warehousing concepts, design principles, reporting development, and testing. - Deep industry or business domain knowledge relevant to the organization, proficiency in tools such as Databricks/Snowflake, Alteryx, Tableau/ThoughtSpot. - Awareness of technologies and frameworks for handling large data volumes and familiarity with analytical tools. - Ability to think beyond raw data, understand the business context, and identify business opportunities within data. - Strong written and oral communication skills, ability to engage stakeholders across technology, data, and business functions. - Capacity to solve data-related challenges, anticipate future needs, and meet tight deadlines. - Must be able to work physically in the Bangalore office 4 days a week with the option to work remotely from home 1 day per week. Join us to leverage your expertise and drive data-driven insights and solutions in a dynamic and collaborative environment. If you are passionate about data architecture and eager to make a significant impact, we encourage you not to miss this opportunity.,

A career in National Special Functions at PwC provides you with the opportunity to support service, sector, and market leaders in delivering the unique PwC client experience. You will play an important role in continuously innovating and improving Firm operations to ensure the highest quality of services for current and prospective clients. The PwC Intelligence team serves as a strategic business partner for an assigned customer, identifying and pursuing new opportunities, conducting market analysis, and preparing revenue projections. Additionally, you will be involved in developing new service offerings and solutions, enhancing existing delivery capabilities, and supporting the delivery of solutions on engagements. To excel and contribute to shaping the future in a rapidly changing world, every individual at PwC needs to embody a purpose-led and values-driven leadership approach at all levels. The PwC Professional, our global leadership development framework, establishes a common set of expectations across our lines of service, geographies, and career paths. It offers transparency on the essential skills required for success and career advancement both presently and in the future. **Responsibilities:** - Develop new skills beyond your comfort zone. - Take action to resolve issues hindering team effectiveness. - Coach team members, identify their strengths, and empower them to drive their personal development. - Analyze complex ideas or proposals and formulate a variety of meaningful recommendations. - Utilize diverse information sources, including input from various stakeholders, to devise solutions and recommendations. - Address sub-standard work or deliverables that do not meet the firm's or client's expectations. - Leverage data and insights to guide conclusions and facilitate decision-making. - Formulate a perspective on major global trends and their implications for clients. - Manage differing viewpoints to achieve consensus and positive outcomes for all involved parties. - Simplify complex messages by highlighting and summarizing key points. - Adhere to the firm's code of ethics and business conduct. - Demonstrate understanding of Firm-wide business intelligence and reporting tools like PowerBI, QlikView, Thoughtspot, and other analytical resources. - Possess experience in designing and developing enterprise-class solutions on the cloud. - Establish and maintain relationships with business partners, finance leaders, and stakeholders. - Demonstrate extensive expertise in developing and delivering complex business intelligence solutions, with a primary focus on MS Power BI encompassing Reporting, Modeling, Dashboarding, DAX, and Power Query. - Collaborate with end users to strategize, design, develop, implement, and enhance business analytics capabilities using Microsoft Power BI and/or other BI reporting tools. - Consolidate and analyze data from multiple sources to derive meaningful insights.,

As a Principle BI Architect, your primary responsibility will be to develop solution blueprints and architecture specifications for evolving business processes, specifically focusing on business planning and goal setting. You will collaborate with other architects to explore specific solutions and define project scopes. Serving as a liaison to the business community, you will ensure that their needs are fully understood by the project team. Additionally, you will review prototypes, solution blueprints, and project scopes to ensure alignment with business requirements. Your role will involve raising awareness of solutions and assisting the change management team in developing strategies to improve user adoption. You will work closely with end-users to identify opportunities for enhanced data management and delivery. Collaboration with development and testing teams is essential to ensure proper implementation and streamline processes related to data flow and quality. Staying current with industry trends, you will advise and educate management on their importance and impact. Leading and aligning multiple BI Engineers across various use cases towards standards and policies will be part of your responsibilities. You must be highly experienced in defining a common semantic layer, utilizing search capabilities, and being the design authority familiar with information consumption patterns. In terms of qualifications, you should possess a balanced mix of technical and business skills with at least 16 years of experience. Proficiency in data analysis, visualizations, problem-solving, and strategic direction is crucial. You should be well-versed in BI technologies such as PowerBI, Thoughtspot, and proficient in defining and verifying OLAP strategies and frameworks. Strong communication and interpersonal skills are essential, along with the ability to instill a strong customer service and business-oriented ethic in the team. Balancing data needs with action requirements, demonstrating strong management and leadership skills, and maintaining a proactive participative management style are key attributes for this role. Having expertise in enterprise data management, requirements planning, formulation, and documentation would be a plus. Knowledge of BioPharma Manufacturing and Supply Chain is also beneficial. The tech stack for this role includes PowerBI, Thoughtspot, Azure Cloud, Databricks, SQL, PL/SQL, Azure Analysis Services, Azure Synapse, Data Lakes, Lakehouses, Semantic Layer tools, Data virtualization tools, Power Automate, and PowerApps.,

As a Software Engineer, you will play a crucial role in developing various tools and features for Data and ML platforms at the organization. Your responsibilities will include working on projects related to data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will have the opportunity to either create custom solutions from scratch or customize existing open-source products to meet the specific needs of the company. The ideal candidate for this role is someone who enjoys tackling challenges, solving problems creatively, excels in collaborative environments, and is capable of delivering high-quality software within tight deadlines and constraints. This position will involve the development of innovative tools and frameworks that can enhance the capabilities of third-party BI tools through APIs. To qualify for this role, you should have a minimum of 4 years of hands-on experience with programming languages such as Java, Python, or Scala. Additionally, you should possess expertise in designing and implementing scalable microservices and Rest APIs, as well as hands-on experience with SQL and NoSQL databases. Experience in building and deploying cloud-native applications on platforms like AWS, GCP, or others is essential. Proficiency in DevOps tools, containers, and Kubernetes is also required. Strong communication and interpersonal skills are necessary for effective collaboration with cross-functional teams, along with a strong sense of ownership towards project deliverables. Preferred qualifications for this role include knowledge of Big Data technologies and platforms, familiarity with distributed computing frameworks like Spark, and experience with SQL query engines such as Trino and Hive. Previous exposure to AI/ML and Data Sciences domains would be advantageous, as well as proficiency in JavaScript libraries and frameworks like React. Experience with Business Intelligence (BI) platforms like Tableau, ThoughtSpot, and Business Objects is considered a plus. In terms of education and experience, a relevant academic background coupled with hands-on experience in software development is preferred. The successful candidate should be proactive, detail-oriented, and capable of working effectively in a fast-paced environment. If you are passionate about developing cutting-edge solutions in the field of data and ML, this role offers an exciting opportunity to contribute to impactful projects and drive innovation within the organization.,

As a Senior Auditor, Technology at LegalZoom, you will be an impactful member of the internal audit team, assisting in achieving the department's mission and objectives. Your role will involve evaluating technology risks in a dynamic environment, assessing the design and effectiveness of internal controls over financial reporting, and ensuring compliance with operational and regulatory requirements. You will document audit procedures and results following departmental standards and execute within agreed timelines. Additionally, you will provide advisory support to stakeholders on internal control considerations, collaborate with external auditors when necessary, and focus on continuous improvement of the audit department. Your commitment to integrity and ethics, coupled with a passion for the internal audit profession and LegalZoom's mission, are essential. Ideally, you hold a Bachelor's degree in computer science, information systems, or accounting, along with 3+ years of experience in IT internal audit and Sarbanes-Oxley compliance, particularly in the technology sector. Previous experience in a Big 4 accounting firm and internal audit at a public company would be advantageous. A professional certification such as CISA, CIA, CRISC, or CISSP is preferred. Strong communication skills, self-management abilities, and the capacity to work on multiple projects across different locations are crucial for this role. Familiarity with technologies like Oracle Cloud, AWS, Salesforce, Azure, and others is beneficial, along with reliable internet service for remote work. Join LegalZoom in making a difference and contributing to the future of accessible legal advice for all. LegalZoom is committed to diversity, equality, and inclusion, offering equal employment opportunities to all employees and applicants without discrimination based on any protected characteristic.,

You are an experienced Reporting GenAI Consultant with a strong background in developing AI-driven reporting solutions. Your role involves building and integrating Generative AI capabilities into BI platforms to enable natural language insights, automated report generation, and interactive dialogue with data. You will leverage your hands-on experience working with LLMs, prompt engineering, and modern data visualization tools to deliver innovative reporting solutions. Your responsibilities include designing, developing, and deploying GenAI-based reporting solutions that generate insights summaries, dashboards, and narrative analytics from structured and unstructured data. You will build natural language interfaces and conversational agents for querying data, enabling users to interact with reports through plain English. Additionally, you will integrate GenAI features like ChatGPT, Azure OpenAI, or Vertex AI with enterprise BI platforms such as Power BI, Tableau, Qlik, ThoughtSpot, etc. Furthermore, you will implement automated insight generation using LLMs to summarize trends, detect anomalies, and generate key takeaways. Collaboration with data engineering and BI teams is crucial to optimize data models and ensure clean, prompt-ready datasets. You will design and fine-tune prompts and templates for contextual report summarization and storytelling, and conduct POCs and pilots to evaluate the feasibility and impact of GenAI-driven reporting use cases. It is essential to ensure that solutions are secure, scalable, and compliant with enterprise governance policies. To excel in this role, you should have 10+ years of experience in Business Intelligence/Analytics with 1-2 years in Generative AI implementations. Strong experience in Power BI with exposure to augmented analytics features is required. Your expertise should include working with LLMs for natural language understanding and summarization, prompt engineering, few-shot learning, and custom summarization models. A good understanding of data storytelling, narrative generation, and auto-generated insights is essential. Experience in integrating APIs for AI models into web or reporting tools is beneficial, along with familiarity with Python or JavaScript for model integration and backend logic. Excellent communication and stakeholder management skills are also necessary for this role. Preferred qualifications include experience with RAG (Retrieval-Augmented Generation), LangChain, or similar frameworks, exposure to voice-based analytics or speech-to-insight solutions, knowledge of data governance, privacy (GDPR/CPRA), and enterprise security standards, as well as familiarity with cloud platforms like Azure.,

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we are a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are currently seeking SnowFlake Professionals with at least 12+ years of experience in the following areas: - Strong communication and proactive skills, ability to lead conversations - Experience architecting and delivering solutions on AWS - Hands-on experience with cloud warehouses like Snowflake - Strong knowledge of data integrations, data modeling (Dimensional & Data Vault), and visualization practices - Good understanding of data management (Data Quality, Data Governance, etc.) - Zeal to pick up new technologies, conduct PoCs, and present PoVs Technical Skills (Strong experience in at least one item in each category): - Cloud: AWS - Data Integration: Qlik Replicate, Snaplogic, Matillion & Informatica - Visualization: PowerBI & Thoughtspot - Storage & Databases: Snowflake, AWS Having certifications in Snowflake and Snaplogic would be considered a plus. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles: - Flexible work arrangements, Free spirit, and emotional positivity - Agile self-determination, trust, transparency, and open collaboration - All Support needed for the realization of business goals - Stable employment with a great atmosphere and ethical corporate culture.,