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Data Analytics and Applied AI Engineer- DFT MethodologyNVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel.NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world! Design-for-Test Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions for DFT architecture, verification, and post-silicon validation on some of the industry's most complex semiconductor chips.What you'll be doing:<ul><li>As an integral member in our team, you will work on exploring Applied AI solutions for DFX and VLSI problem statements.</li><li>Architect end-to-end generative AI solutions with a focus on LLMs, RAGs &amp; Agentic AI workflows.</li><li>Work on deploying predictive ML models for efficient Silicon Lifecycle Management of NVIDIA's chips.</li><li>Collaborate closely with various VLSI &amp; DFX teams to understand their language-related engineering challenges and design tailored solutions.</li><li>Partner closely with cross-functional AI teams to provide feedback and contribute to the evolution of generative AI technologies.</li><li>Work closely with DFX teams to integrate Agentic AI workflows into their applications and systems and stay abreast of the latest developments in language models and generative AI technologies.</li><li>Define how data will be collected, stored, consumed and managed for next-generation AI use cases.</li><li>You will also help mentor junior engineers on test designs and trade-offs including cost and quality.</li></ul>What we need to see:<ul><li>BSEE or MSEE from reputed institutions with 2+ years of experience in DFT, VLSI &amp; Applied Machine Learning</li><li>Experience in Applied ML solutions for chip design problems</li><li>Significant experience in deploying generative AI solutions for engineering use cases</li><li>Good understanding of fundamental DFT &amp; VLSI concepts - ATPG, scan, RTL &amp; clocks design, STA, place-n-route and power</li><li>Experience in application of AI for EDA-related problem-solving is a plus</li><li>Excellent knowledge in using statistical tools for data analysis &amp; insights</li><li>Strong programming and scripting skills in Perl, Python, C++ or TCL desired</li><li>Strong organization and time management skills to work in a fast-pace multi-task environment</li><li>Self-motivated, independent, ability to work independently with minimal day-to-day direction</li><li>Outstanding written and oral communication skills with the curiosity to work on rare challenges</li></ul>NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!#LI-Hybrid<h4>Experience Level</h4>Mid Level

Nvidia Graphics Pvt Ltd

Business Intelligence Engineer

IN_Associate_Gen AI_D&A_Advisory_MumbaiLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.Why PWCAt 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 purpose-led and values-driven 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 <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.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. "Job Description &amp; Summary – Associate – GenAI – MumbaiResponsibilities:Gen AI models using AWS Bedrock, AWS ML Ops servicesMandatory skill sets:GenAI/AWS BedrockPreferred skill sets:GenAI/AWS BedrockYears of experience required:3-4 YearsEducation qualification:B.E.(B.Tech)/M.E/M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsGenerative AIOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Emotional Regulation, Empathy, Geopolitical Forecasting, Geopolitical Risk Analysis, Global Macro, Inclusion {+ 19 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Professional

Senior Data Scientist - Video AI team, BangaloreWelcome to Warner Bros. Discovery… the stuff dreams are made of.Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.Senior Data Scientist - (Video AI), BangaloreAbout Warner Bros. Discovery:Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.For more information, please visit <a href="http://www.wbd.com" rel="noopener noreferrer" target="_blank">www.wbd.com</a>.Meet Our Team: At Warner Bros. Discovery, we are reimagining how machine learning transforms storytelling. As part of the AI/ML organization, focusing on supporting applications of AI to video, the Machine Learning Engineer – Services group powers infrastructure and backend services behind production workflows. We're looking for an experienced ML Engineer with strong fundamentals and infrastructure experience to help build reusable components and services for video understanding, video summary, and video classifications.  You will be part of a team focused on re-training, model hosting, cost optimization, and managing production workflows at scale.Roles &amp; Responsibilities: <ul><li>Ship orchestrated pipelines for training, batch/stream inference, and evaluation with lineage, versioning, and observability. </li><li>Design, build, and operate reusable services for training, batch/online inference, and vector/lexical search that meet clear SLOs.</li><li>Build/own vector + lexical search stacks and indexes; manage ingestion, filters, caching, and re-ranking.  </li><li>Build/own vector + lexical search stacks and indexes; manage ingestion, filters, caching, and re-ranking.  </li><li>Create reliable data/feature and evaluation pipelines with strong lineage, versioning, and observability.</li><li>Implement model deployment/rollout patterns (canary/AB, shadow) with monitoring and fast rollback.</li><li>Drive cost, reliability, and performance improvements across GPU/CPU workloads.</li><li>Integrate and maintain vector search services and semantic similarity infrastructure </li><li>Design scalable model serving solutions for open-source and foundation models </li><li>Develop systems for experiment tracking, model versioning, and evaluation </li><li>Monitor production models for drift and performance degradation </li><li>Manage compute cost and resource optimization across distributed training jobs </li><li>Integrate Human-in-the-Loop (HITL) workflows and offline labeling into training pipelines </li><li>Support model deployment for varied model architectures, including Vision-Language Models, Convolutional Neural Nets, and Embedding Generation models </li><li>Stand up and maintain Feature Store and data versioning infrastructure </li><li>Architect and implement RAG pipelines for video metadata, summarization, and Q&amp;A </li><li>Build evaluation frameworks to assess LLM performance, hallucination frequency, and structured response accuracy </li></ul>What to Bring:<ul><li>5+ years of experience in Applied science, with end-to-end ML workflow expertise </li></ul><ul><li>Strong background in model retraining, fine-tuning, and evaluation techniques </li><li>Research work and having publications/patents in some conferences.</li><li>Computer vision experience is a must for Applied Research role</li><li>Suggest and develop models</li></ul><ul><li>Experience owning production ML or data services end-to-end (design → deploy → operate) with strong debugging and on-call instincts. </li></ul><ul><li>Familiarity with modern orchestration and CI/CD for ML, containerized serving, and scalable storage/indexing. </li></ul><ul><li>Pragmatic approach to telemetry (traces, metrics, logs) and using it to improve quality, latency, and cost. </li></ul><ul><li>Strong collaboration with ML researchers/engineers and product teams. </li></ul><ul><li>Experience deploying and managing open-source model servers (e.g., Triton, TorchServe, Ray Serve) </li></ul><ul><li>Proficient in managing cost-effective distributed computing environments (e.g., Kubernetes, Ray, SageMaker) </li></ul><ul><li>Familiar with experiment tracking tools (e.g., MLflow, Weights &amp; Biases) and model versioning strategies </li></ul><ul><li>Experience with real-time inference systems and streaming data pipelines is a plus </li></ul><ul><li>Familiarity with labeling tools, HITL workflows, and offline data curation strategies </li></ul><ul><li>Comfort working in Agile development environments and collaborating across global teams </li><li>Trains/finetunes video &amp; image models, builds data pipelines, writes clean PyTorch/JAX, adds tests &amp; ablations.</li><li>Practical experience with training curves, hyperparam search, model distillation/quantization, export to ONNX/TensorRT.</li><li>Familiar with modern detectors/segmenters (e.g., SAM/Mask2Former/Grounding-DINO, Retina/CenterNet/YOLOv8+), face detection and recognition models, embedding models.</li></ul>What We Offer:<ul><li>A Great Place to work.</li><li>Equal opportunity employer</li><li>Fast track growth opportunities</li></ul>How We Get Things Done…This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at <a href="http://www.wbd.com/guiding-principles/" rel="noopener noreferrer" target="_blank">www.wbd.com/guiding-principles/</a> along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.Championing Inclusion at WBDWarner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our <a href="https://careers.wbd.com/global/en/accessibility" rel="noopener noreferrer" target="_blank">accessibility page</a> for instructions to submit your request.<h4>Experience Level</h4>Senior Level

Warner Bros Pictures (india) Private Limited

Data Scientist

Senior Analytics EngineerWelcome to Warner Bros. Discovery… the stuff dreams are made of.Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are…  When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Senior Analytics Engineer - Location. About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com. Meet our team: The Data &amp; Analytics organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and non-streaming products such as Films Group, Sports, News and overall WBD eco-system.  Our mission is to foster unified analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape. Roles &amp; Responsibilities:  We are seeking a highly motivated Senior Analytics Engineer to design and scale a robust analytics platform that delivers impactful insights across key domains, such as Subscription, Growth, Identity, Retention, Content, and Product Analytics. As a Staff Analytics Engineer, you will lead efforts to transform raw data into meaningful and actionable insights by building and maintaining a reliable and scalable analytics data infrastructure. Your work will directly support analysts, data scientists, and business stakeholders by ensuring data pipelines, models, and metrics are efficient, accurate, and accessible. This role is critical to driving a data-driven culture and enabling teams to make informed decisions. ·       Architect and manage data pipelines using Databricks notebooks and Apache Spark, focusing on performance and efficiency.·       Troubleshoot and optimize Spark applications for handling large, complex datasets.·       Develop robust data transformations, data integrations, and automation scripts in SQL and Python.·       Implement best practices for code modularity, testing, and deployment within the analytics ecosystem.·       Work closely with Data Engineers, Analysts, and other stakeholders to understand data needs and deliver effective solutions.·       Provide clear documentation and training to ensure best practices are followed across the organization.·       Partner with cross-functional teams to understand evolving data needs and propose innovative solutions.·       Contribute to a culture of continuous improvement by evaluating and implementing emerging technologies and approaches. What to Bring: ·       Bachelor’s degree in computer science, business analytics or similar discipline.·       5-7+ years of experience in analytics engineering, data engineering, or a related field.·       Proficiency in SQL, Spark and ETL/ELT tools (e.g., dbt, Airflow)·       Strong Python (or similar) scripting skills for automation and data manipulation.·       Hands-on experience with Databricks and Apache Spark, including Spark tuning and cluster management.·       Strong analytical and problem-solving abilities to address complex data challenges.·       Excellent communication skills to work with both technical and non-technical stakeholders. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/  along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects the diversity of our society and the world around us. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate and you require adjustments or accommodations to search for a job opening or apply for a position, please contact us at recruitadminHow We Get Things Done…This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at <a href="http://www.wbd.com/guiding-principles/" rel="noopener noreferrer" target="_blank">www.wbd.com/guiding-principles/</a> along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.Championing Inclusion at WBDWarner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our <a href="https://careers.wbd.com/global/en/accessibility" rel="noopener noreferrer" target="_blank">accessibility page</a> for instructions to submit your request.<h4>Experience Level</h4>Senior Level

IN-Senior Associate – GenAI _Data and Analytics– Advisory – MumbaiLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt 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 purpose-led and values-driven 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 <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.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. "Responsibilities:Role : Senior Associate Exp : 4--7 Years Location: Mumbai PFB, the JD for the same, Candidate with 3-5 years of exp and a strong background in machine learning, technical expertise, and domain knowledge in Banking, Financial Services, and Insurance (BFSI). Experience with Generative AI (GenAI) is a must have. Key Responsibilities: · Collaborate with clients to understand their business needs and provide data-driven solutions. · Develop and implement machine learning models to solve complex business problems. · Analyze large datasets to extract actionable insights and drive decision-making. · Present findings and recommendations to stakeholders in a clear and concise manner. · Stay updated with the latest trends and advancements in data science and machine learning. GenAI Experience: · Generative AI (GenAI) experience, including working with models like GPT, BERT, and other transformer-based architectures · Ability to leverage GenAI for tasks such as text generation, summarization, and conversational AI · Experience in developing and deploying GenAI solutions to enhance business processes and customer experiences Technical Skills: · Programming Languages: Proficiency in Python, R, and SQL for data manipulation, analysis, and model development. · Machine Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Scikit-learn for building and deploying models. · Data Visualization Tools: Strong knowledge of Tableau, Power BI, and Matplotlib to create insightful visualizations. · Cloud Platforms: Expertise in AWS, Azure, and Google Cloud for scalable and efficient data solutions. · Database Management: Proficiency in SQL and NoSQL databases for data storage and retrieval.· Version Control: Experience with Git for collaborative development and code management. · APIs and Web Services: Ability to integrate and utilize APIs for data access and model deployment. Machine Learning algorithms: · Supervised and Unsupervised Learning · Regression Analysis · Classification Techniques · Clustering Algorithms · Natural Language Processing (NLP) · Time Series Analysis · Deep Learning · Reinforcement Learning Qualifications: · Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field · 3-5 years of relevant experience in data science and machine learning · Strong analytical and problem-solving skills · Excellent communication and presentation abilities · Ability to work independently and as part of a teamMandatory skill sets:GenAI/MLPreferred skill sets:GenAI/MLYears of experience required:4—7 YearsEducation qualification:B.E.(B.Tech)/M.E/M.TechEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsGenerative AIOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Mid Level

Senior Associate

Senior Manager - Metrics , Analytics & Reporting<h4>Company:</h4>Marsh<h4>Description:</h4>We are seeking a talented individual to join our Marsh Data Services . This role will be based in Mumbai/Pune This is a hybrid role that has a requirement of working at least three days a week in the office.Senior Manager - Metrics, Analytics &amp; ReportingWe will count on you to:<ul><li>Manage and oversee all production reporting for the Policies and Placements Value Stream</li><li>Collaborate with Reporting Services Team Leaders for other Value Streams and coordinate leading agile ceremonies (daily stand up, weekly sprint planning, monthly retrospectives)</li><li>Manage and delegate incoming production reporting deliverables to junior colleagues in Reporting Operations team (including Level 2 support requests) to ensure that they are handled effectively, promptly (in line with SLA’s) and accurately.</li><li>Manage Production Log and ADO Kanban Board to ensure BAU reports are meeting SLA’s. </li><li>Report on SLA’s on monthly / quarterly basis and provide insights into areas for improvement</li><li>Manage onboarding of new reports (i.e. handover) within your respective Value Stream and ensure clear and concise Standard Operating Procedures (SOP’s) are implemented.</li><li>Manage resolution of reporting incidents for your respective value stream on ServiceNow and ensure the necessary details are communicated to Service Desk team.</li><li>Acts as a resource for Reporting Operations analysts, providing advice and direction regarding the appropriate courses of action to take in relation to BAU reporting, Ad Hoc queries, Incidents and Requests for Information, in addition to technical data manipulation issues.</li><li>Train, coach and manages junior members of Reporting Operations team, including conducting regular performance check-ins to ensure the continued growth of the capacities of the team.</li></ul>What You Need to Have:Technical Skills<ul><li>5+ years working as a Senior Reporting Analyst (or supervisory role) in an agile environment with globally distributed teams.</li><li>Knowledge of data visualization tools (preferably Qlik Sense) in order to manage online reports.</li><li>Ability to problem solve reporting issues as they arise.</li><li>Knowledge of agile methodologies, in particular Kanban.</li><li>Good understanding of MS Office Suite: Word, Excel, Visio, PowerPoint and Outlook</li></ul>Interpersonal skills – every bit as important as the technical side<ul><li>Collaborating and working well with others; you will be working closely with your colleagues in the Reporting Services team as well as the other teams within MI (Business Analysis, Data Quality and Data Prep, Development team, Regional Reporting Teams and the Data Operations team) and outside of MI (Data Strategy, Qlik Admin team).</li><li>Leadership skills: You will be responsible for managing one team member, specifically a Senior Reporting Analyst.</li><li>Excellent communication skills including the ability to explain technical issues to a business audience and vice-versa. Providing regular updates and being transparent with our stakeholders is key in addition to documentation of our reporting processes.</li><li>A continuous learner with the ability to problem solve quickly as reporting issues arise; being proactive and taking end to end ownership of reporting issues.</li><li>Effective time management skills and the ability to prioritize deliverables.</li><li>Influencing and negotiation skills in a virtual / remote environment. You will be based in India and will be working closely with the Reporting Services team members based in Ireland, UK and In.  </li></ul>What makes you stand out:<ul><li>Experience with using a Kanban board, in particular Azure DevOps</li><li>Experience with using ServiceNow for service ticket management</li><li>Exposure to tools such as SQL, Python, PowerQuery, VBA, QlikView, Qlik Sense, Business Objects</li><li>Understanding of the insurance and / or insurance broking domain</li></ul>Why join our team:<ul><li>We help you be your best through professional development opportunities, interesting work and supportive leaders.</li><li>We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.</li><li>Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.</li></ul>Marsh, a business of Marsh McLennan (NYSE: MMC), is the world’s top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.<h4>Experience Level</h4>Senior Level

Marsh McLennan

Assistant Manager MIS

Manager, Analytics - Sam's Club (L09)Job Description:Role Title: Manager, Analytics - Sam's Club (L09) Company Overview:Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.  <ul><li>We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.  </li><li>We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.  </li><li>We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.</li></ul>Organizational Overview:Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth. Role Summary/Purpose:Manager, SAMS Analytics (individual contributor)  role is a part of India Analytics Hub (IAH).  Our Analytics team comprises of data analysts who focus on improving customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives. Seeking intellectually curious candidate with a passion for delivering impact in the sales and marketing analytics world, capable of problem solving and working independently. The selected candidate will be part of SAMS Analytics team and will be responsible for executing segmentation strategies, identifying actionable portfolio insights, developing strategic recommendations, and client reporting in order, to drive growth, thought leadership &amp; Innovation.Key Responsibilities: <ul><li>Create/Maintain and deliver tools/reports to allow business partners and external customers to self-service and empower them to run their business</li><li>Execute segmentation strategies including those that support dormancy, sales potential, competition, and others; explore new ways to segment providers to drive growth</li><li>Develop actionable insights on key business drivers and identify revenue opportunities using data visualization and storytelling</li><li>Analyze campaign performance and provide recommendations to optimize targeting and ROI</li><li>Use internal and external data to develop strategic recommendations to grow share of wallet and maximize profitability</li><li>Proactively propose, initiate &amp; execute strategic open-ended/ambiguous problems</li><li>Deep dive and deliver on Ad-hoc &amp; Strategic projects</li><li>Thought Leadership / Ability to self complete projects with less guidance</li></ul>Required Skills/Knowledge: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of hands-on relevant work experience in lieu of specified degree.</li><li>2+ years of hands on Experience in  SQL / SAS /Open Source Tools with ability to independently build queries for data extraction &amp; aggregation</li><li>1+ year of hands-on experience of latest Analytics Data Visualization tools like Tableau</li><li>Comprehend key concepts &amp; processes in finance industry ,translate them into quantitative attributes /metrics</li><li>Ability to Define Methodology , present insights to larger teams and influence decision making</li><li>Ability to identify process improvements and proactively propose the solutions</li><li>Adherence to timely delivery, accuracy and documentation in line with Audit Procedures</li></ul>Desired Skills/Knowledge:<ul><li>Demonstrated ability to manage complexity/ambiguity and multiple initiatives</li><li>Good working knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.</li><li>Advanced proficiency in MS-Excel and MS-PowerPoint with superior data analyses and story boarding skills</li></ul>Eligibility Criteria:Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 2+ years of hands-on relevant analytics/data science experience. Minimum 4+ years of hands-on relevant work experience in lieu of specified degree Work Timings:This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details. For Internal Applicants:<ul><li>Understand the criteria or mandatory skills required for the role, before applying</li><li>Inform your manager and HRM before applying for any role on Workday.</li><li>Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)</li><li>Must not be any corrective action plan (First Formal/Final Formal, LPP)</li><li>L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible.</li><li>L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.</li><li>L04+ Employees can apply.</li></ul>Grade/Level: 09Job Family Group:Data Analytics<h4>Experience Level</h4>Mid Level

Synchrony

Business Intelligence and Analytics Manager

Manager, Digital Engagement Analytics (L09)Job Description:RoleTitle:Manager, Digital Engagement Analytics (L09) Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.<ul><li>We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.</li><li>We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.</li><li>We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.</li></ul>Organizational Overview:Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stackdescriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth.Role Summary/Purpose:Manager, Digital Engagement Analytics role is a part of India Analytics Hub (IAH). Our Analytics team comprises of data analysts who focus on improving customer/product/digital/ journey experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives.The role will deliver on business and organizational priorities, working in close collaboration with US Analytics and IAH teams, solving problems with solutions that are powered by data and analytics. The role includes providing strategic thought leadership in optimizing and scaling up current deliveries and building analytics roadmap. The model candidate must be a thought leader, hands on problem solver and deliver actionable insights for the business.Key Responsibilities:<ul><li>Independently work In Customer Engagement Analytics team to solve for enterprise level Initiatives and solutions to increase Digital Adoption Rate</li><li>Understand requirements and deliver on ad hoc requests whenever required</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Responsible for effective communication, project deliverables, adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Mentor team members on analytical, technical and functional skills</li></ul>Required Skills &amp; Knowledge:<ul><li>2 to 4 Years of working experience in Analytics domain and 1+ years of experience in SAS or SQL.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li></ul>Desired Skills &amp; Knowledge:<ul><li>2 to 4 years of analytics experience in Financial Services Industry</li><li>Ability to engage with technical and non-technical audiences with empathy and ensure needs/asks are effectively translated into technical requirements and followed upon.</li></ul>Eligibility Criteria:BS or MS in Statistics, Economics, Mathematics, or another quantitative field with 2 to 4 years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4 to 6 years of experienceWork Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.For Internal Applicants:<ul><li>Understand the criteria or mandatory skills required for the role, before applying</li><li>Inform your manager and HRM before applying for any role on Workday</li><li>Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)</li><li>Must not be any corrective action plan (Formal/Final Formal) or PIP</li><li>L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are eligible.</li><li>L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are eligible.</li><li>L4+ Employees can apply</li></ul>Level / Grade : 9Job Family Group:Data Analytics<h4>Experience Level</h4>Mid Level

Social Media Marketing Manager

Data Scientist- Gen AI (3-5 years exp only)As a Data Scientist, you'll play a crucial role in supporting data-driven projects, performing routine data analysis tasks, and assisting with model development and testing. Your role involves contributing to various stages of the data science lifecycle and providing insights that help shape business strategies. This position is suited for those with a foundational understanding of data science and are eager to deepen their expertise. Responsibilities: • Contribute to more advanced data collection and preprocessing efforts. • Assist in developing and testing machine learning models. • Perform descriptive data analysis and provide preliminary insights. • Create visualizations and reports to support data findings. • Manage and maintain data repositories efficiently. • Support senior data scientists in feature creation and selection. • Participate in collaborative projects with cross-functional teams. • Help automate data processing tasks using scripts. • Contribute to model validation and performance testing. • Stay informed about emerging data science tools and methodologies. Skills: • Advanced Data Cleaning: Enhanced preprocessing and data wrangling techniques. • Intermediate Python: Proficiency in Python for data science tasks. • SQL: More advanced SQL querying skills. • Data Visualization: Ability to create meaningful visualizations using tools like Tableau or Matplotlib. • Machine Learning Basics: Understanding of basic machine learning concepts and algorithms. • Statistical Analysis: Intermediate statistical methods and their applications. • Communication: Articulating data insights clearly to non-technical stakeholders. • Problem-Solving: Effective in identifying data-related issues and providing solutions.Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.<h4>Experience Level</h4>Mid Level

Wolters Kluwer

AVP, Data Governance Specialist (L10)Job Description:Role Title: AVP, Data Governance Specialist (L10)Company Overview:Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.<ul><li>We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.</li><li>We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.</li><li>We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.</li></ul>Organizational Overview: Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth.Role Summary/Purpose: The AVP, Data Governance Specialist is a key individual contributor role, responsible for leading enterprise-wide data literacy initiatives that transform data culture across the organization. This role designs, delivers, and governs impactful data literacy programs, enabling employees at all levels to confidently interpret, communicate, and apply data insights in their daily work. The ideal candidate will combine strategic leadership with hands-on instructional design and delivery expertise to elevate data skills enterprise-wide.Key Responsibilities:<ul><li>Lead the enterprise-wide data literacy strategy, aligning programs and initiatives with organizational priorities to foster a data-driven culture.</li><li>Design, develop, and implement scalable, engaging data literacy learning solutions targeted at diverse audiences and skill levels.</li><li>Conduct needs assessments to identify skill gaps and define measurable learning objectives.</li><li>Translate complex data and analytics concepts into clear, accessible content and technical documentation.</li><li>Deliver impactful training sessions, workshops, and enablement activities both virtually and in-person.</li><li>Collaborate with stakeholders across functions—including senior leadership, data stewards, and SMEs—to drive program adoption and change management efforts.</li><li>Monitor program performance through defined metrics, gather learner feedback, and continuously enhance content and delivery methods.</li></ul>Required Skills &amp; Knowledge:<ul><li>Bachelor’s or Master’s degree in Instructional Design, Education, Technical Communication, Data Science, Computer Science, Information Systems, Analytics, or related field with 5+ years of hands-on experience (Distance learning not valid) or in lieu of a degree with 7+ years of experience required.</li><li>5+ years’ experience designing and delivering digital/technical training programs and/or technical communications.</li><li>Expertise in instructional design methodologies and adult learning principles.</li><li>Experience with content creation tools, LMS platforms, and multimedia development.</li><li>Strong ability to translate technical information for diverse audiences.</li><li>Proven project management skills and experience managing multi-phase initiatives.</li><li>Portfolio of instructional or technical writing relevant to data and analytics.</li></ul>Desired Qualifications:<ul><li>Experience designing training based on real-world business data scenarios.</li><li>Familiarity with Python, SQL, SAS, Tableau, Power BI, and modern data warehousing technologies such as Snowflake, Redshift, or BigQuery.</li><li>Certifications such as CPLP, Certified Technical Writer, or equivalent.</li></ul>Eligibility Criteria:Bachelor’s or Master’s degree in Instructional Design, Education, Technical Communication, Data Science, Computer Science, Information Systems, Analytics, or related field with 5+ years of hands-on experience (Distance learning not valid) or in lieu of a degree with 7+ years of experience required.Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.For Internal Applicants:<ul><li>Understand the criteria or mandatory skills required for the role, before applying</li><li>Inform your manager and HRM before applying for any role on Workday</li><li>Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)</li><li>Must not be any corrective action plan (Formal/Final Formal, LPP)</li><li>L8+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.</li><li>L08+ Employees can apply</li></ul>Grade/Level: 10Job Family Group:Data Analytics<h4>Experience Level</h4>Executive Level

Data Engineer

Visual Data Scientist LeaderAt Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Organization Overview:At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.The Advanced Intelligence (AI) team brings the power of data and advanced analytic capabilities such as artificial intelligence, machine learning, visual analytics and predictive analytics to identify and solve high-value business questions.  The AI team is actively looking for a motivated leader for Advanced Intelligence who will lead the strategic development and implementation of visual analytics solutions for exploratory problems and data story telling work products for explanatory problems.  This role demands a visionary leader to define, execute, and evolve a robust strategy aligned with organizational goals, while fostering operational excellence, compliance, and collaboration across teams and stakeholders. Responsibilities:<ul><li>Lead a talented and diverse team of visual data scientists to apply their skillsets in diverse areas such as scientific publications, discovery and business development.</li><li>Develop and implement strategy to improve how data scientists communicate and share their analytical results</li><li>Collaborate with leaders in other information technology functions to deliver visual analytics solutions to business problems</li><li>Partner with business/research teams to identify, scope, and execute visual analytics efforts that answer business/scientific questions and deliver value to patients.</li><li>Maintain a broad understanding of the pharmaceutical business and be fully engaged with business/research teams, bringing an objective voice to the table and facilitating decisions grounded in visual analytics and data science.</li><li>Collaborate with other analytics team members to review and provide feedback on the analytics being done and be willing to seek feedback from other team members about your own work.</li><li> Stay current with respect to data science and visual analytics methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.</li><li>Collaborate with others to design, develop and deploy enterprise-level analytics capabilities/solutions, including applications in explainable AI.</li><li>Consult domain experts and elucidate workflows to incorporate advanced analytics in tools for users with no background in data science. </li><li>Ability to influence people to adopt innovative data visualizations and methods.</li><li>Communicate results effectively using data story telling techniques</li></ul>Basic Qualifications: <ul><li>Ph.D.  or M.S. in Computer Science, Statistics, Biostatistics, Engineering with at least 3 years of experience (excluding internships) in the industry OR</li><li>B.S. in one of the above fields with 7+ years of experience (excluding internships) in the industry, including people management experience,</li><li>Leadership experience and ability to grow and develop a team</li><li>Excellent communication skills, with an strong passion for visual data storytelling</li><li>Proficiency with deploying web-based data visualization using d3, HTML and CSS. </li></ul>Additional Skills/Preferences:<ul><li>Understanding of advanced analytics in statistics and machine learning</li><li>Advanced knowledge of visual analytics algorithms like force directed graph and network diagrams.</li><li>Proficiency with grammar of graphics and data story telling </li><li>Internal or external consulting experience</li><li>Agility and flexibility to work with very diverse problems and business partners </li><li>Self-management skills with a focus on results for timely and accurate completion of competing deliverable </li></ul>Additional Information:<ul><li>When applying please attach or submit a link to your portfolio of work</li><li>You will be on a hybrid work schedule in Bengaluru, India.</li></ul>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (<a href="https://careers.lilly.com/us/en/workplace-accommodation" rel="noopener noreferrer" target="_blank">https://careers.lilly.com/us/en/workplace-accommodation</a>) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.#WeAreLilly<h4>Experience Level</h4>Senior Level

Eli Lilly and Company India Pvt Ltd

Product Data Analyst- Data EngineeringReq ID 82675 | Pune, India, ZF India Pvt. Ltd.  <h4>Job Description</h4>About the teamZF Aftermarket is a EUR 3 billion powerhouse with a combined team of about 8,000 employees. We have a total of 120 locations in 40 countries worldwide – including 90 logistics centers – and more than 650 service partners with a strong presence in both automotive and industrial markets. This makes us the second largest aftermarket organization worldwide. What you can look forward to as Product Data Analyst- Data Engineering:<ul><li>End-to-End Project Ownership: Drive and manage analytics initiatives from concept to deployment, ensuring high-quality, timely deliverables with minimal supervision.</li><li>Engineering Best Practices: Apply structured software development principles, including version control (e.g., Git), CI/CD, automated testing, and peer code reviews to ensure robust, scalable, and maintainable solutions.</li><li>Data Architecture &amp; Pipelines: Design, build, and optimize scalable and reliable data models and pipelines in Databricks, Azure Cloud, and other big data environments to support advanced analytics and AI use cases.</li><li>Data Modeling &amp; Performance Optimization: Develop and maintain high-performance data models tailored for analytical workloads and business intelligence use.</li><li>Business Partnership: Serve as a key liaison between technical teams and business stakeholders to understand needs, validate outcomes, and ensure solutions are actionable and business-ready.</li><li>Data Visualization: Create insightful and user-centric dashboards using tools like Power BI, Shiny for Python/R, or similar platforms.</li></ul> Your profile as Product Data Analyst- Data Engineering<ul><li>5-8 Years of experience in Data Engineering/ Advanced analytics roles.</li><li>Hands-on experience with Databricks, Azure, and familiarity with Big Data platforms (e.g., GCP, Cloudera).</li><li>Prior experience with Data Bricks, Python, Pysprak, TecDoc or product data in the automotive domain</li><li>Industry experience in agile development and DevOps Databases (ex. Oracle, AWS S3)</li><li>Proficiency with data visualization tools such as Power BI, Shiny, or equivalent.</li></ul> Why you should choose ZF in India<ul type="disc"><li>Innovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth.</li><li>Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support.</li><li>Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement.</li><li>Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide.</li><li>Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint.</li><li>Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. </li></ul> Be part of our ZF team as Product Data Analyst- Data Engineering and apply now!ContactVeerabrahmam Darukumalli<h4>Experience Level</h4>Senior Level

ZF Friedrichshafen

Associate Product Manager

Lead Data Engineer (Ab Initio, ETL, Redshift, AWS, Data warehousing)About GlobalFoundriesGlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit <a href="http://www.gf.com/" rel="noopener noreferrer" target="_blank">www.gf.com</a>.Introduction:               The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundryYour Job:  Professional with strong technical solution design, builds, and maintains data infrastructure and systems responsible for managing and optimizing data pipelines, ensuring data quality, and implementing data management strategies.  Working closely with the Data Product Design team, translating the design requirement into a viable technical data product.Responsibilities include: <ul><li>Leading projects: Working on complex, cross-functional projects, and acting as a subject matter expert </li><li>Building data Solution: Creating secure, stable, and scalable data pipelines, managing analytics platforms </li><li>Design Standards and Framework: Provides appropriate consulting, interfacing, standards and framework for data pipelines, </li><li>Advising Junior Data Engineers: Providing guidance to the fellow data engineers, operations support and implementation partners and making recommendations </li><li>Evaluating access control: Evaluating and reporting on access control processes to determine data asset security </li><li>Developing documentation: Creating technical documentation that supports best practices </li></ul>Required Qualification:<ul><li>Experience in preparing Data warehouse design artifacts based on given requirements – Defining Standards, Building Frameworks, and Source-Target Mapping</li><li>Strong analytical and data modeling skills including logical and physical schema design</li><li>Deep understanding of database technology and data use within analytic platforms </li><li>Strong programming skills with SQL and PySpark, </li><li>Experience with AWS cloud Services including EMR, Redshift/Postgres</li><li>Experience in other Cloud / ETL technologies including Databricks, Snowflakes, Ab Initio</li><li>Good Understanding of other programming languages Python, Java</li><li>Proven experience with large, complex database projects in environments producing high-volume data </li><li>Demonstrated Problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions.</li><li>Experience in analyzing Performance Issues analysis and Tuning</li></ul>Preferred Qualifications:<ul><li>Master’s degree in information technology, Electrical Engineering or similar relevant fields.</li><li>Proven experience (10 years minimum) with Datawarehouse design, build performance tuning and optimization</li><li>Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches,</li><li>Experience in developing streaming applications Spark Streaming, Flink, Storm, etc.</li><li>Excellent conceptual abilities compared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes,</li><li>Familiarity with SDLC concepts and processes</li></ul>Additional Skill:<ul><li>Experience in semiconductor / High Tech Manufacturing industry</li><li>Experience with reporting data solutions and business intelligence tools</li><li>Knowledge of statistical data analysis and data mining</li><li>Experience in test management, test case definition and test processes</li></ul>GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19vaccination document, subject to any written request for medical or religious accommodation.Information about our benefits you can find here: <a href="https://gf.com/about-us/careers/opportunities-asia" rel="noopener noreferrer" target="_blank">https://gf.com/about-us/careers/opportunities-asia</a> <h4>Experience Level</h4>Senior Level

Globalfoundries Engineering Private Limited

Business Data Migration Expert – Material master/Supply chainJob Description SummaryBusiness Data Migration expert for Material master/Supply chain on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. Acts as the functional SPoC for data migration on the assigned objects for a given release. Job DescriptionKey Responsibilities:•        Perform or ensure data cleansing tasks are completed on time ​•        Complete data collection for manual/construction objects on time​•        Work together with IT counterparts to prepare value mappings​•        Create and maintain master lists if applicable for assigned objects​•        Provide business insights and information to technical teams for extraction and conversion from the legacy system(s) for assigned data objects​•        Work together with IT team and country Business Data Owners to identify objects in scope for country​•        Ensure data readiness &amp; verify quality throughout data journey for assigned data objects​•        Verify that data is fit for purpose (incl. alignment with internal/external stakeholders)​•        Approve upload files before and after load for all assigned data objects (including formal approval)​•        Perform manual (type-in) data loads into target clients where applicable for assigned objects​•        Perform dual maintenance•        Execution and approval of data verification scripts ​•        Act as SPoC for assigned objects as part of defect management process during Hypercare​ Essential Requirements:•        Data Cleansing completion for relevant data objects on project(s) within the region based on given data migration schedule•        Data Loads completion for relevant data objects on project(s) within the region based on given data migration schedule•        All major issues related to data quality for relevant data objects resolved based on given project(s) schedule Desirable Requirements:Education &amp; Qualifications•        Bachelor or Master degree preferredLanguages•        Fluent English (additional languages preferred)Experiences•        5+ years in country &amp; global roles (ERP project implementation experience preferred)Competencies•        Good communication and negotiation skills, good stakeholder management•        Strategic and hands on way of working (running meetings, tracking progress, managing issues)•        Strong Excel Skills​Technical/Functional Skills &amp; Knowledge•        Strong knowledge about the business processes in the area of Material master, Material management and Supply chainData Migration experience preferredWhy Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve. Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network. Skills DesiredBuilding Construction, Business Networking, Business Partners, Business Planning, Business Process Transformation, Business Strategy, Curiosity, Decision Tree (Forecasting Model), Diversity &amp; Inclusion, Finance, Go-To-Market Strategy, Key Account Management, Leadership, Lean Six Sigma, Management Consulting, Scrum (Programming Methodology), Strategic Planning<h4>Experience Level</h4>Senior Level

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Social Media Marketing Manager

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