1826 Data Mining Jobs - Page 21

As a Data Mining & Research Specialist at ISMG, you will play a key role in various critical data projects by conducting thorough research on aspects of the ISMG subscriber base. Your primary responsibility will be to maintain accurate and current data entry points, ensuring that all relevant information is up to date. Your duties will include executing research projects that involve standardized and customized data sets to cater to ISMG's customer base and internal business needs. You will contribute to the management of large data sets, ensuring accuracy, integrity, and timely delivery of projects. Additionally, you will collaborate with internal stakeholders to provide regular progress updates, identify challenges, and address potential roadblocks promptly. To be successful in this role, a Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred. You should have at least one year of professional experience in Market Research fields. Advanced expertise in Excel for complex data analysis tasks is essential. Proficiency in Microsoft Word and PowerPoint is required, with a willingness to learn and adapt to other data and marketing programs quickly. Knowledge of data manipulation, quantitative research, hierarchical databases, and exposure to data software packages is advantageous. Experience with Power BI is a major plus. Strong communication skills, both written and verbal, along with effective presentation abilities are crucial for this position. Excellent time management and project management skills are also necessary. This position is based at our Delhi office, and your presence in the office from Monday to Friday during standard hours of operation is mandatory.,

Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future of Manufacturing here at Apple through cutting edge ML techniques This position involves a wide variety of skills, innovation, and is a rare opportunity to be working on ground breaking, new applications of machine-learning, research and implementation. Ultimately, your work would have a huge impact on billions of users across the globe. You can help inspire change, by using your skills to influence globally recognized products" supply chain. The goal of Apple's Manufacturing & Operations team is to take a vision of a product and turn it into a reality. Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. Were looking for experienced machine learning professionals to help us revolutionize how we manufacture Apples amazing products. Put your experience to work in this highly visible role. The Operations Advanced Analytics team is looking for creative and motivated hands-on individual contributors who thrive in a dynamic environment and enjoy working with multi-functional teams. As a member of our team, you will work on applied machine-learning algorithms to seek problems that focus on topics such as classification, regression, clustering, optimizations, and other related algorithms to impact and optimize Apple's supply chain and manufacturing processes. As a part of this role, you would work with the team to build end-to-end machine learning systems and modules, and deploy the models to our factories. You'll be collaborating with Software Engineers, Machine Learning Engineers, Operations, and Hardware Engineering teams across the company. Minimum Qualifications: - 3+ years experience in machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM). - Masters in Machine Learning, Artificial intelligence, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering, or related field. Preferred Qualifications: - Proven experience in LLM and LMM development, fine-tuning, and application building. Experience with agents and agentic workflows is a major plus. - Experience with modern LLM serving and inference frameworks, including vLLM for efficient model inference and serving. - Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration. - Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn. - Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus. - Deep understanding of transformer-based architectures (e.g., BERT, GPT, LLaMA) and their optimization for low-latency inference. - Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences. - Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus. - Proven experience in leading and mentoring teams is a plus. Submit CV,

As an AVP, Marketing Technology Audience Analyst at Synchrony, you will play a crucial role in understanding, building, and tracking audiences across various platforms. Your primary focus will be on developing best practices for audience governance and supporting the broader audience strategy development. Your responsibilities will include performing audience analyses using internal and external data sources to optimize current audience campaigns and shape future campaign strategies. You will create data personas, collaborate with marketing partners to identify trends and audience opportunities, and work with cross-functional teams to collect data for audience insights. Additionally, you will be responsible for building audiences, managing the workflow from CRM data onboarding to audience segment delivery for programmatic and personalization campaigns. You will establish partnerships with cross-functional teams to understand their business needs and goals, delivering processes and opportunities accordingly. To qualify for this role, you should have a Bachelor's Degree with at least 5 years of experience in mining and analyzing digital audience performance. Alternatively, a minimum of 7 years of relevant experience in the financial domain will be considered in lieu of a degree. You should have a strong background in enterprise-level data sciences, analytics, and customer intelligence, with at least 3 years of professional digital marketing experience. Desired characteristics for this role include proficiency in data mining techniques and analytic programming languages such as Python, SQL, Java, SAS, and others. You should have leadership experience working with cross-functional partners and familiarity with analytic platforms and tools like Hadoop, R, Hive, and Tableau. Experience in areas such as probability and statistics, machine learning, and artificial intelligence will be advantageous. As an ideal candidate, you should be able to execute analyses with massive data sets, collaborate effectively with diverse teams, and provide strategic recommendations based on data insights. You should be a creative thinker with a history of synthesizing insights to drive business decisions and lead strategic discussions. If you meet the eligibility criteria and possess the required skills and experience, we encourage you to apply for this role. This is a Level 10 position, and the work timings are from 2:00 PM to 11:00 PM IST. For internal applicants, it is essential to understand the criteria and mandatory skills needed for the role before applying. Informing your manager and HRM, updating your professional profile, and ensuring your resume is up to date are crucial steps in the application process. Employees at Level 8 and above who meet the specified tenure requirements are eligible to apply. Join us at Synchrony and be part of a dynamic team that drives ROI, elevates brand presence, and fosters a culture of innovation in the ever-evolving market landscape.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, be supported and inspired by a collaborative community of colleagues around the world, and have the opportunity to reimagine what's possible. Join us and contribute to helping the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. As a Kinaxis Lead, you will be responsible for collecting, analyzing, and interpreting complex data sets to drive informed business decisions. Working closely with the Client and cross-functional teams, you will identify trends, patterns, and insights that will contribute to the company's growth. Your role will involve performing detailed discovery sessions with business users to understand and document Rapid Response configuration requirements, such as the customer's supply chain network, operating model, system landscape, and planning processes. You will also select standard functionalities in Rapid Response, design data model changes, and lead solution blueprinting and detailed design activities. To qualify for this role, you should have 4 to 14 years of experience in Kinaxis and be certified as a Kinaxis Solution Architect or have completed all requirements for Kinaxis Solution Architect certification. A thorough understanding of supply chain planning concepts, processes, KPIs, and best practices, as well as strong analytical skills and data mining knowledge, are essential. You should also have the ability to identify key insights and demonstrate critical thinking to prioritize effectively. At Capgemini, you can enjoy comprehensive wellness benefits, including health checks, telemedicine, insurance with top-ups, elder care, partner coverage, or new parent support through flexible work arrangements. Our commitment to ensuring that people of all backgrounds feel encouraged and have a sense of belonging means that you are valued for who you are and can bring your authentic self to work. Capgemini is a global business and technology transformation partner, with a diverse team of 340,000 members in more than 50 countries. With over 55 years of experience, Capgemini is trusted by clients to unlock the value of technology and deliver end-to-end services and solutions across various industries. By working on cutting-edge projects in tech and engineering or creating solutions to address societal and environmental challenges, you can make a tangible impact on enterprises and society.,

As a highly skilled Senior Data Scientist, you will bring expertise in Python, Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Azure Cloud Services to our team. Your primary responsibility will be to design, develop, and deploy advanced AI/ML models to facilitate data-driven decision-making processes. You must possess strong analytical skills, proficiency in AI/ML technologies, and hands-on experience with cloud-based solutions. Your key responsibilities will include designing and developing ML, NLP, and GenAI models to address complex business challenges. You will be tasked with building, training, and optimizing AI models using Python and various ML frameworks, as well as implementing Azure AI/ML services for scalable deployment. Additionally, you will develop and integrate APIs for real-time model inference and decision-making, collaborate with cross-functional teams, and ensure adherence to software engineering best practices and Agile methodologies. To excel in this role, you must stay updated on cutting-edge AI/ML advancements, conduct research on emerging trends, and contribute to the development of innovative solutions. Providing technical mentorship to junior data scientists, optimizing model performance in a production environment, and continuously enhancing models and algorithms will also be part of your responsibilities. The required skills and qualifications for this role include proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience in NLP techniques, expertise in Generative AI models, strong knowledge of Azure AI/ML services, and familiarity with CI/CD pipelines are essential. Additionally, you should have a strong understanding of software engineering principles, experience working in an Agile development environment, excellent problem-solving skills, and a background in statistical analysis, data mining, and data visualization. Preferred qualifications include experience in MLOps, knowledge of vector databases and retrieval-augmented generation techniques, exposure to big data processing frameworks, and familiarity with Graph Neural Networks and recommendation systems. Strong communication skills to convey complex ideas to technical and non-technical stakeholders, experience with AutoML frameworks, and hyperparameter tuning strategies will be advantageous in this role. This is a full-time or part-time permanent position with benefits such as health insurance and provident fund. The work schedule includes day shifts from Monday to Friday with weekend availability. An additional performance bonus will be provided based on your contribution to the team. If you have at least 8 years of experience in Python, Azure AI/ML services, Senior Data Scientist roles, and working with ML, NLP, and GenAI models, we encourage you to apply for this opportunity. The work location is in person to foster collaboration and innovation within the team.,

As a Data Scientist at our organization, you will be applying your expertise in artificial intelligence by utilizing machine learning, data mining, and information retrieval to design, prototype, and construct advanced analytics engines and services for next-generation applications. Your role will involve collaborating with business partners to define technical problem statements and hypotheses, developing analytical models that align with business decisions, and integrating them into data products or tools with a cross-functional team. Your responsibilities will include: - Collaborating with business partners to devise innovative solutions using cutting-edge techniques and tools - Effectively communicating the analytics approach to address objectives - Advocating for data-driven decision-making and emphasizing the importance of problem-solving methodologies - Leading analytic approaches and integrating them into applications with data engineers, business leads, analysts, and developers - Creating scalable, dynamic, and interpretable models for analytic data products - Engineering features by leveraging internal and external data sources - Sharing your passion for Data Science within the enterprise community and contributing to the development of processes, frameworks, and standards - Collaborating, coaching, and learning with a team of experienced Data Scientists - Staying updated with the latest trends and ideas in the field through conferences and community engagements Desired Skills: - Bachelor's degree required, MS or PhD preferred - Bachelor's in Data Science, Computer Science, Engineering, Statistics, and 5+ years of experience OR Graduate degree in a quantitative discipline with demonstrated Data Science skills and 2+ years of work experience - Proficiency in Python for working with DataFrames - Proficiency in writing complex SQL queries - Experience with Machine Learning for clustering, classification, regression, anomaly detection, simulation, and optimization on large datasets - Ability to merge and transform disparate internal and external data sets to create new features - Experience with Big Data technologies such as Spark, Cloud AI platforms, and containerization - Experience in supporting deployment, monitoring, maintenance, and enhancement of models - Familiarity with data visualization tools like Tableau, Plotly, etc. Digital Experience/Individual Skills: - Excellent communication and collaboration skills to understand business needs and deliver solutions - Proven ability to prioritize tasks and manage time effectively to achieve outstanding results - Efficient learning capability to tackle new business domains and problems - Critical thinking and skepticism regarding the validity and biases of data - Intellectual curiosity and humility to leverage expertise and collaborate effectively - Strong organizational skills with attention to detail and accuracy - Ability to mentor, coach, and work closely with business partners, analysts, and team members,

As a Data Scientist specializing in Generative AI & ML Engineering, your primary responsibility will be to research and develop AI algorithms and models. You will be tasked with analyzing data, constructing predictive models, and employing machine learning techniques to address intricate problems. Your proficiency should encompass a range of skills including proficiency in languages/frameworks such as Fast API and Azure UI Search API (React), as well as expertise in databases and ETL tools like Cosmos DB and Data Factory Data Bricks. In addition, you should have a strong command of Python and R, familiarity with Azure Cloud Basics and Gitlab Pipeline, and experience in deploying AI solutions end-to-end. In addition to your proficient skills, you are expected to possess expert-level knowledge in areas such as Azure Open AI, Open AI GPT Family of models, and Azure Storage Account. Your expertise should extend to machine learning algorithms, deep learning frameworks like TensorFlow and PyTorch, and a solid foundation in mathematics including linear algebra, calculus, probability, and statistics. Furthermore, your role will require proficiency in data analysis tools such as Pandas, NumPy, and SQL, as well as strong statistical and probabilistic modeling skills. Experience with data visualization tools like Matplotlib, Seaborn, and Tableau, along with knowledge of big data technologies like Spark and Hive, will be essential for success in this position. Overall, your experience in AI-driven analytics and decision-making systems, coupled with your ability to develop and deploy AI frameworks and models, will be critical in delivering effective solutions to complex challenges.,

The role requires you to work from the office and involves monitoring business performance and operations. You will be responsible for problem-solving by applying various analytics levers and collaborating with different teams working on ML models, SQL rules, hospital profiling, pattern mining, etc., to achieve client savings targets. The Analytics team serves as both the R&D and operational excellence team, continuously exploring new patterns through cutting-edge technologies ranging from SQL queries to large language model (LLM) agents. Your responsibilities will include designing data-driven solutions and frameworks (descriptive and predictive) from scratch, providing leadership consultation on potential solutions, storyboards, and POCs. You will drive business metrics contributing to top-line growth and/or profitability, perform quantitative and qualitative analyses including raw data analysis and deep dives to derive insights, and develop descriptive to prescriptive analytics for business monitoring and operational excellence. Additionally, you will translate data insights for business stakeholders to effectively communicate and provide relevant business context. You will also apply next-gen technologies across the analytics lifecycle, managing tasks like data extraction, exploratory data analysis, data mining, information extraction from unstructured data, and visualization/storyboarding. Furthermore, you will oversee a small team of data analysts. The ideal candidate should possess at least 7 years of experience in strategy and business optimization, along with a post-graduate degree or MBA (preferred) or a graduate degree in Engineering, Mathematics, Operations Research, Science, or Statistics. Experience in the healthcare industry is preferred, as well as a solid background in analytics using tools like SQL, SAS, Python, basic statistical concepts, and data analysis for interpreting results for the business. You should have the ability to translate and structure business problems to deliver technical solutions, proven experience in a fast-paced environment supporting multiple concurrent projects, and a collaborative, team-oriented approach with a willingness to take on various projects. A strong desire to work in a fast-paced environment is essential. The ecosystem you will be operating in includes massive data assets with millions of structured data records and thousands of unstructured records processed monthly, tech investments in on-prem GPUs, Azure, AWS, Databricks, and On-prem Hadoop-Hive environments, a strong leadership push towards digitization, data-led decision-making, and AI, as well as an Analytics Team comprising 100+ data enthusiasts, decision scientists, and business/subject matter experts.,

You should have at least 5+ years of experience and be proficient in Computer vision, Image processing, C++, Open CV, and Camera calibration. The job is based in Bangalore, India and follows a hybrid mode of work. As a candidate, you are expected to have experience in software design and implementation, with a strong proficiency in C++ and Object Oriented Analysis & Object Oriented Design Methodologies. Deep theoretical and practical background in Applied Mathematics, Optimization, Signal Processing, and Object/Pattern Recognition is required. Additionally, experience in debugging and bringing up prototype HW/SW systems, including optics, illumination, imaging sensors, and their interactions with motion systems is necessary. Exposure to machine learning techniques such as developing high-level image scene classifiers and adaptive vision algorithms based on feature extraction and data mining is preferred. The ability to construct the entire system from concept development, data collection, real-time implementation to field deployment is a key aspect of the role. You should have hands-on experience in computer vision algorithms and implementation, as well as strong expertise in image processing and Open CV. Proficiency in camera calibration, C++, and basic concepts such as spatial filtering, edge detection, histogram analysis, morphological processing, and pattern matching is essential. This position falls under the IT job category and requires a educational qualification of BE, B.Tech, M.Tech, ME, or MCA. The work location for this role is in Bangalore, India.,

As the Head of Data Analyst, you will lead the data analytics team to leverage data effectively for driving strategic business decisions and enhancing operational efficiency. Your primary responsibilities will include overseeing the development and execution of data analytics strategies in alignment with organizational goals. This role demands a blend of technical proficiency, leadership capabilities, and business acumen to foster innovation and extract maximum value from data assets. You will be responsible for leading complex projects from start to finish, showcasing expertise in business and functional domains. Serving as a subject matter expert, you will offer guidance to cross-functional teams and stakeholders on best practices and innovative solutions. Additionally, you will take charge of owning Business Success Metrics for all clients, focusing on continuous improvement through detailed analysis of customer data sets. Your role will involve mentoring the team of Data Analysts to enable them to autonomously achieve target Success Metrics for their respective clients. Furthermore, you will drive initiatives for continuous improvement to streamline processes and workflows. Collaboration with senior leadership will be essential in designing and executing strategic objectives that align with organizational aspirations. Research and analysis will be crucial aspects of your role to identify emerging industry trends and opportunities. Timely delivery of high-quality work within specified timelines, while ensuring adherence to company standards and policies, will be a key accountability. Building and nurturing strong relationships with clients, partners, and vendors to foster collaboration and achieve mutually beneficial outcomes will be paramount. Staying updated on industry advancements and engaging in professional development activities to uphold your expertise will also be expected. **Requirements:** - Bachelor's/Master's Degree in Computer Science/Information Technology - 8-12 years of proven work experience in Data and Business Analysis - Proficiency in data models, database design development, data mining, and segmentation techniques - Hands-on experience with SQL, reporting packages (e.g., Business Objects), and programming languages (e.g., XML, Javascript, ETL frameworks) - Strong numerical aptitude with experience working on large datasets - Proficiency in statistics and using statistical packages for data analysis (e.g., Excel, SPSS, SAS) - Excellent analytical skills with the ability to collect, organize, analyze, and present information with precision and attention to detail - Proficient in queries, report writing, and presenting findings - Exceptional written and verbal communication skills This role as the Head of Data Analyst offers a challenging yet rewarding opportunity to lead a dynamic team in leveraging data insights for driving organizational success and innovation.,

You are an experienced Senior Data Analyst with 5-9 years of experience, specializing in data analytics and possessing exceptional SQL scripting skills. You are proficient in SQL development, with a strong analytical mindset and problem-solving abilities. Your stakeholder management skills are top-notch, and you excel in communication. Your key responsibilities include collecting, interpreting, and analyzing critical datasets. You are adept at interpreting and reporting data analysis results using dashboards. Your expertise lies in framing SQL queries to derive meaningful insights from data. Troubleshooting issues and resolving them within agreed SLAs, along with detailed RCA review reporting, are part of your skill set. You have a knack for writing SQL queries to create additional data sources, metrics, and breakdowns. Your strong analytical and data interpretation skills, coupled with being detail-oriented, creative, persistent, and self-motivated, set you apart. You thrive in managing multiple projects simultaneously under tight deadlines, with a keen ability to learn quickly. You are responsible for reporting custom formatted results to relevant business members, identifying patterns and trends in data sets, and working collaboratively with teams to address business needs. You also play a pivotal role in defining new data collection and analysis processes, as well as project planning and set-up. Required Skills: - Experience with product analytics tools - Proficiency in Advanced SQL queries - Ability to analyze and solve complex cases using process knowledge - Strong critical thinking skills - Excellent verbal and written communication skills Good to Have Skills: - Understanding of different programming languages - Familiarity with product analytics tools like Google Analytics, Google Data Studio, Looker, or GCP domain skills - Knowledge and experience in data mining - Experience in managing a team of Data Analysts or an IC Role If you are ready to relocate to Hyderabad and possess the required experience and skills, this Senior Data Analyst role is an exciting opportunity for you to showcase your expertise and contribute effectively to the organization.,

As a Lead Consultant (Manager) in People Analytics & Insights at Mastercard, you will play a crucial role in leading key HR and business-specific projects globally. You will be responsible for maintaining Mastercard's standards related to human capital, ensuring consistency, and promoting data integrity throughout the organization. Your primary focus will involve supporting large and complex business units, establishing standards, and project managing large-scale operational processes and initiatives. You will collaborate with business unit senior leadership and the HR COE to mine and analyze employee data to make fact-based decisions. Additionally, you will provide coaching and clear communications to managers and senior management within your aligned business unit. Your role will also involve project management of initiatives such as BU Talent Review, YE Calibration, data analytics, workforce forecasting, and M&A coordination. To excel in this role, you should have a Bachelor's degree with 7-12 years of experience in Analytics or a related field. Extensive experience in HR Analytics is preferable, along with expertise in SQL and Excel. Knowledge of Tableau and Power BI would be beneficial. Strong leadership, communication, project management, and problem-solving skills are essential. You should possess solid analytic skills, business acumen, and a proactive, innovative approach to problem-solving. Your ability to present findings to senior management, tell compelling stories from data, and adapt to a dynamic environment will be key to success. As part of your corporate security responsibility, you must adhere to Mastercard's security policies, maintain the confidentiality and integrity of accessed information, report any security violations, and complete mandatory security trainings. This role offers you the opportunity to drive business decisions using workforce data metrics, lead key initiatives, and contribute to Mastercard's success in a highly dynamic environment in Pune.,

The Geology Head is responsible for leading the geology team and overseeing all geological activities, including surveys, resource estimation, exploration, and geotechnical support. The role ensures timely and accurate geological

Clinztech is looking for Clinical Data Analyst I to join our dynamic team and embark on a rewarding career journey. Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end - users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelors/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 4+ years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

Team Summary Visa Consulting and Analytics (VCA) drives tangible, impactful and financial results for Visa s network clients, including both financial services and merchants. Drawing on our expertise in strategy consulting, data analytics, brand management, marketing, operational and macroeconomics, Visa Consulting and Analytics solves the most strategic problems for our clients. The India & South Asia (INSA) Consulting Market team within Visa Consulting & Analytics provides consulting and solution services for Visa s largest issuers in India, Sri Lanka, Bangladesh, Nepal, Bhutan & Maldives. We apply deep expertise in the payments industry to provide solutions to assist clients with their key business priorities, drive growth and improve profitability. The VCA team provides a comprehensive range of consulting services to deliver solutions that address unique challenges in areas such as improving profitability, strategic growth, customer experience, digital payments and running risk. The individual will be part of VCA Data Science geographic team cluster of India and South Asia (INSA) markets and will be responsible for sales and delivery of data science and analytics based solutions to Visa Clients. What the Director Data Science, Visa Consulting & Analytics does at Visa: The Director, Data Science at Visa Consulting & Analytics (VCA) blends technical expertise with business acumen to deliver impactful, data-driven solutions to Visa s clients, shaping the future of payments through analytics and innovation. This role combines hands-on modeling with strategic leadership, leading the adoption of Generative AI (Gen AI) and Agentic AI into Visa s offerings. This is onsite role based out of Mumbai. The role will require travel. Key Responsibilities Commercial Acumen/Business Development Collaborate with internal and external clients to comprehend their strategic business inquiries, leading project scoping and design to effectively address those questions by leveraging Visas data. Drive revenue outcomes for VCA, particularly focusing on data science offerings such as ML Model solutions , data collaboration, and managed service verticals within data science. Technical Leadership Design, develop, and implement advanced analytics and machine learning models to solve complex business challenges for Visa s clients leveraging Visanet data as well as Client Data Drive the integration and adoption of Gen AI and Agentic AI technologies within Visa s data science offerings. Ensure the quality, performance, and scalability of data-driven solutions. Strategic Business Impact Translate client needs and business challenges into actionable data science projects that deliver measurable value. Collaborate with cross-functional teams including Consulting, Sales, Product, and Data Engineering to align analytics solutions with business objectives. Present insights and recommendations to both technical and non-technical stakeholders. Team Leadership & Development Mentor and manage a team of data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning. Set priorities, provide technical direction, and oversee the end-to-end delivery of analytics projects. Innovation & Best Practices Stay abreast of emerging trends in AI and data science, particularly in Gen AI and Agentic AI. Champion the adoption of new methodologies and tools to enhance Visa s analytics capabilities and value to clients. Represent VCA as a thought leader in internal and external forums. This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: Advanced degree (MS/PhD) in Computer Science, Statistics, Mathematics, Engineering, or a related filed from Tier-1 institute e.g. IIT, ISI, DSE, IISc, etc. 12+ years of experience in data science, analytics, or relate

WNS is hiring CAT Modeling professionals for a global reinsurance client across below mentioned skill-mix. Kindly refer to the job description mentioned against the desired skill-mix. 1. Portfolio Modeling (3+ years experience in end-to-end portfolio rollups) 2. Regulatory Reporting (4+ years experience in EDM/RDM/SCHEMA) 3. Model Validation (4+ years experience in Model Validation with tools like RMS/AIR) 4. Technical Solution (3+ years experience in SQL Query writing for CAT Modeling function) S: 1. Portfolio Modeling Good understanding Cat Modeling process and workflows Run vendor catastrophe modeling platforms (primarily RMS, AIR, Elements) for insureds and perform portfolio risk analyses. Working knowledge of RMS model scope across worldwide peril-regions regarding sub-perils, amplification, etc. along with basic understanding of cat-modelling four-box principle concerning exposure, hazard, vulnerability modules and translation of insurance and (re)insurance financial terms through coding in RMS and SQL. Assist clients in the understanding of catastrophe risk of individual insured through analytics based on catastrophe model results. Provide analytical support to catastrophe modeling team operations by sharing knowledge and information Develop processes and scripts for process improvements Provide timely and frequent feedback to team members. Preparing MIS reports Training and mentoring of team members inducted in the pricing process. Assisting in monthly post bind and portfolio rollup activities. Ensure all SLAs are met Communication with onshore SPOCs at regular intervals. 2. Regulatory Reporting Role and Responsibilities Good understanding Cat Modeling process and workflows. Run vendor catastrophe modeling platforms (primarily RMS, AIR, Elements) including accumulation analysis for reporting needs, whenever required Thorough knowledge of RMS EDM-RDM schema Ability to understand the requirements of regulatory submissions and further deliver them accordingly Understanding of RDS scenarios of Lloyds including Non-Modelled scenarios as well Working knowledge regulatory reports like LCM, RDS Scenarios, Terror Accumulations & reporting. Working knowledge of any other regulatory reports. Working knowledge of RMS model scope across worldwide peril-regions regarding sub-perils, amplification, etc. along with basic understanding of cat-modelling four-box principle concerning exposure, hazard, vulnerability modules and translation of insurance and (re)insurance financial terms. Provide analytical support to catastrophe modeling team operations by sharing knowledge and information Develop processes and scripts for process improvements Assisting in portfolio rollup activities. Ensure all SLAs are met Communication with onshore SPOCs at regular intervals. 3. Model Validation: : Perform model validation and provide recommendations on model use and/or required adjustments. Work with internal teams and external data providers on analysis, utilising available data including scientific information, claims and insured exposure Contribute to and lead Group projects as required, liaising with other teams globally. Produce customised reports on exposure and modelled results. Evaluate re/insurance pricing for individual accounts and product classes. Analyse catastrophe reinsurance structures and strategies to support reinsurance placements. Assist with the analysis of real time events and identify learnings from post-event reviews. Strong analytical and numerical ability, in order to interrogate large datasets Experience of working with re/insurance catastrophe data and/or catastrophe modelling software Excellent written and verbal communication skills, and the ability to explain technical concepts clearly Intermediate/Advanced Excel skills Pro-active attitude to identifying inefficient processes and developing improvementsDesirable Requirements Knowledge of commercial insurance and/or the catastrophe modelling industry Sound working knowledge of RMS/AIR and any other vendor modelling platforms Coding experience in a relevant language (e.g. SQL, VBA, R, C#) Experience in using mapping software (e.g. GIS) 4. Technical Solution (SQL query): Catastrophe Modelling Analyst in the Accumulation Management department, working with the Technical Solutions team The Technical Solutions team is focused on developing customized in-house tools and databases for the Accumulation Management team, to streamline processes and organize data in an efficient manner Technical role with large potential for growth in responsibilities Develop an understanding of existing Catastrophe Modelling processes, licensed software, and the various in-house tools used to automate processes Maintain existing Accumulation Management tools. Debug errors in the code when users experience issues Assist users with technical questions. Explain how tools work and deliver training sessions when required Test new functionality prior to launch to ensure that tools are working as intended Support team to design and develop new tools to automate processes. Update user guides when needed Work with colleagues around the globe on ad-hoc projects Qualifications Bachelors Degree in Mathematics/ Applied Mathematics/ Statistics/ Operations Research/ Actuarial Science Job Location

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. s Design, execute, and analyze A/B and multivariate experiments, ensuring statistical rigor and business relevance. Translate business and product questions into analytical plans, applying SQL and statistical tools to generate insights. Partner with product managers to define success metrics, build tracking plans, and ensure reliable data instrumentation. Analyze user journeys, product funnels, and behavioral patterns to uncover friction points and opportunities for growth or retention. Perform deepdive analysis on feature adoption, conversion performance, and customer segments to inform roadmap decisions. Build and maintain dashboards and selfserve data tools using BI tools like Tableau, Looker, or Power BI to democratize insights. Collaborate with data engineers to validate data pipelines and ensure data integrity and consistency across platforms. Present findings to crossfunctional stakeholders through clear storytelling, emphasizing actionable recommendations and business impact. Mandatory skill sets Product Analytics, A/B Testing, SQL Preferred skill sets Product Analytics, A/B Testing, SQL Years of experience required 57 Years Education qualification BE/B.Tech/MBA/MCA/Mtech/MSC/BSC Education Degrees/Field of Study required Master of Science, Bachelor of Science, Bachelor of Technology, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills A/B Testing, Product Analytics, Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary BW on HANA/BW4HANA implementation in key SAP modules Requirement s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. Data extraction from SAP and nonSAP systems, data modelling and reports delivery. Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions Understand the integration and consumption of BW data models/repots with other Tools s Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement. Mandatory skill sets Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Preferred skill sets Hands on experience for SAP BW for almost 47 years of experience. Years of experience required 47 years experience on SAP BW. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Master of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills SAP Business Warehouse Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, DataDriven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more} No

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary DataSphere implementation in key SAP modules Requirement s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. Data extraction from SAP and nonSAP systems, data modelling and reports delivery. Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop DataSphere Solutions Understand the integration and consumption of data models with other Tools Responsibilities Handson experience in DataSphere and strong understanding of usage of objects like Analytical model, views, Data Flow, Replication Flow, Task Chain and performance optimization concepts such as data tiering optimization. Experience in integration of DataSphere with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques. full life cycle Implementation experience in SAP DataSphere Hands on Experience in data extraction using standard or Custom extraction. Strong experience in writing Sql. Functional Knowledge of various Modules like SD, MM, FI. Connectivity of SAP DataSphere with reporting tool like SAC, PBI . Mandatory skill sets Experience in data integration using SAP data sphere connectors ( SAP S/4HANA,BW,etc) Proficiency in SQL,CDS View& SAP HANA Modeling. Good understanding of SAP BTP architecture. Preferred skill sets Knowledge of SAP Analytics Cloud for data visualization & reporting. Experience with SAP BW/4HANA , SAP HANA cloud, or SAP integration Suite. Understanding of Cloud Data platforms. SAP certifications in Data Sphere, HANA are a plus. Years of Experience required 4 to 7 Years Education qualification B.Tech / M.Tech (Computer Science,Mechanical, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred Required Skills SAP Datasphere Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, DataDriven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more} No

Not Applicable Specialism Data, Analytics & AI & Summary In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations & Summary BW on HANA/BW4HANA implementation in key SAP modules Requirement s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. Data extraction from SAP and nonSAP systems, data modelling and reports delivery. Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions Understand the integration and consumption of BW data models/repots with other Tools Responsibilities Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement. Mandatory skill sets Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Preferred skill sets Hands on experience for SAP BW for almost 710 years of experience. Years of experience required 610 years experience on SAP BW. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred Required Skills SAP Business Warehouse Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, DataDriven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility {+ 15 more} No

Not Applicable Specialism Data, Analytics & AI & Summary In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support datadriven decisionmaking, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary BW on HANA/BW4HANA implementation in key SAP modules Requirement s analysis, conception, implementation/development of solution as per requirement. Create HLD and then convert them to LLD. Data extraction from SAP and nonSAP systems, data modelling and reports delivery. Work closely with Project leaders, Business teams, SAP functional counterparts to Architect, Design, Develop SAP BW4 HANA Solutions Understand the integration and consumption of BW data models/repots with other Tools Responsibilities Handson experience in SAP BW/4HANA or SAP BW ON HANA and strong understanding of usage of objects like Composite providers, Open ODS view, advanced DSOs, Transformations, exposing BW models as HANA views, mixed scenarios, and performance optimization concepts such as data tiering optimization. Experience in integration of BW with various SAP and NonSAP backend systems/sources of data and good knowledge of different data acquisition techniques in BW/4HANA. knowledge of available SAP BW/4HANA tools and its usage like BW/4HANA Web Cockpit. Full life cycle Implementation experience in SAP BW4HANA or SAP BW on HANA Hands on Experience in data extraction using standard or generic data sources. Good Knowledge of data source enhancement. Mandatory skill sets Strong experience in writing ABAP/AMDP code for exits, Transformation. Strong understanding CKF, RKF, Formula, Selections, Variables and other components used for reporting. Understanding of LSA/LSA++ architecture and its development standards. Good understanding of BW4 Application and Database security concepts. Functional Knowledge of various Modules like SD, MM, FI. Preferred skill sets Hands on experience for SAP BW for almost 710 years of experience. Years of experience required 610 years experience on SAP BW. Education qualification B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education Degrees/Field of Study required Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred Required Skills SAP Business Warehouse Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, DataDriven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility {+ 15 more} No

Job Description The Position We are looking for an experienced Senior Business Data Analyst & Power BI Developer to join our Analytics team. As Senior Business & Data Analyst, you will be a key player in transforming complex business challenges into tangible, data-driven solutions. You will drive analytical process automation initiatives, uncover valuable business insights through data analysis, and adopt analytical solutions to address critical business needs. As a Senior Analyst, you will also mentor and guide other team members, fostering a culture of collaboration and excellence. Responsibilities & Skills: Business Acumen: Ability to understand complex business challenges, identify opportunities for improvement, and translate them into actionable data-driven solutions. Drive process improvement initiatives by identifying bottlenecks, analyzing data to determine root causes, and designing innovative solutions that enhance efficiency and effectiveness. Design end-to-end BI reporting solutions, including dataflows, semantic models, dashboards, and reports Collaborate with stakeholders to define requirements and align reporting solutions with business goals Exceptional communication skills, enabling clear articulation of technical concepts to business stakeholders and effective collaboration with cross-functional teams. Capable of translating business requirements into technical specifications for data analytical solutions, with experience in data integration, data cleansing, and data mining techniques. Develop and implement analytical solutions to streamline reporting, analysis, and decision-making processes. Develop insightful reports and dashboards, ensuring data accuracy, security, and effective data governance practices. Proficient in SQL queries for data extraction, analysis, and manipulation, with a solid understanding of data warehousing principles. Experienced in designing and implementing efficient data structures to support reporting and analysis needs, ensuring data quality and integrity. Identifying opportunities to automate financial processes and reporting through AI technologies. Required Education, Experience, and Skills Requirements : A degree in Computer Science, Engineering, Information Systems, Business Management, Economics or a related field is required; advanced degrees are a plus. 3-5 years of relevant experience in business and data analysis, experience in Power BI and data modeling Background in data warehouse platforms such as Snowflake, combined with strong BI methodologies Developing visual reports, KPI scorecards, and dashboards using Power BI desktop. Connecting data sources, importing data, and transforming data for Business intelligence. Experience with data visualization tools and techniques (e.g., PowerBI, Tableau). Strong Excel Skills Experience in developing and analyzing solutions using SQL scripts. Understanding of enterprise-level data integration and strategies for performance optimization Capability to bridge complex business questions into actionable data solutions Proficiency in solving technical challenges within diverse, dynamic datasets Python Knowledge Nice to have Libraries: Pandas, NumPy, ScyPy, Seaborn, Matplotlib, Statsmodels, SciKit learn. Secondary Job Description Who We Are: Organon delivers ingenious health solutions that enable people to live their best lives. We are a $6.5 billion global healthcare company focused on making a world of difference for women, their families and the communities they care for. We have an important portfolio and are growing it by investing in the unmet needs of Women s Health, expanding access to leading biosimilars and touching lives with a diverse and trusted portfolio of health solutions. Our Vision is clear: A better and healthier every day for every woman. As an equal opportunity employer, we welcome applications from candidates with a diverse background. We are committed to creating an inclusive environment for all our applicants. Search Firm Representatives Please Read Carefully Organon LLC , 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. Annualized Salary Range Annualized Salary Range (Global) Annualized Salary Range (Canada) Please Note: Pay ranges are specific to local market and therefore vary from country to country. Employee Status: Regular Relocation: No relocation VISA Sponsorship: Travel Requirements: Organon employees must be able to satisfy all applicable travel and credentialing requirements, including associated vaccination prerequisites Flexible Work Arrangements: Shift: Valid Driving License: Hazardous Material(s): Number of Openings: 1

About Us: Job Summary : We are seeking a highly motivated Data Analyst to join our team, responsible for delivering actionable, data-driven business insights that support strategic decision-making and operational improvements. This role bridges the gap between business stakeholders, digital teams, and data engineering by transforming data into clear, meaningful visuals and insights using modern analytics tools and techniques. Key Responsibilities: *Provide actionable, data-driven business and insights by combining data manipulation capabilities, business acumen and technical or operational knowledge with analysis. *Maintain metrics and data visualisations (visuals, reports, and dashboards). *Autonomously execute data analysis and apply existing data & analytics strategies relevant to your immediate scope. *Be a bridge between business and PPM, digital and other teams & partner with data engineers and data owners from the business to define and build simple data models. *Responsible for integrate existing tools to automate data ingestion, data manipulation, quality control and data analysis. Role Requirements and Qualifications: *BS in a technical/quantitative field, including business, data and analytics, engineering, etc. *Hands-on experience in carrying out data analysis, data mining and insight generation in complex, fast-paced environments. *Applied knowledge of data analytics tools (e.g. business intelligence applications) and approaches across all data lifecycle stages. *Experience in Microsoft Power BI, Tableau, or other data visualisation softwares. *Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. *Strong communication and stakeholder management skills. *Knowledge in SQL, python or other languages is preferred. *Strong business acumen. Why Join Us: *Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors. *Continuous investment in employee growth and professional development with a strong focus on up & re-skilling. *Competitive compensation & benefits, ESOPs and international assignments. *Supportive environment with healthy work-life balance and a focus on employee well-being. *Open culture that values diverse perspectives, encourages transparent communication and rewards contributions. How to Apply: If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.

The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelor's/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.