(IND) Senior, Data Analyst

Position Summary... Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities.

Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. What you'll do... About Team As the Senior Data Analyst, Marketplace Analytics & Data Science, you will be part of the team with an aim to evaluate the effectiveness and efficiency of the Marketplace platform.

Walmart Marketplace allows independent third-party sellers to list products directly on Walmart.com alongside Walmart’s own inventory. Your focus will be to support the Business and Product teams in strategic and operational decision making as they prioritize and build capabilities and tools to allow Sellers to both sell and ship products to Customers. What You Will Do You will be responsible for translating ambiguous business problems into actionable and data-driven solutions using advanced analytical techniques and storytelling Understand partner teams requirements Identify and validate most suitable data sources Use SQL/Python to manipulate large data sets to uncover trends, diagnose root causes and identify opportunities Use advanced analytics and machine learning to derive insights, make causal frameworks and predict outcomes Leverage Tableau/Looker to share key metrics and communicate findings Develop and maintain data pipelines to support your analytical work Define and track key metrics for your area, do RCAs, propose and test hypotheses Communicate findings and results effectively to partner teams Build Cross functional partnerships with Business, Product, Engineering What You Will Bring Education: Bachelor’s degree in a quantitative field (Masters preferred) (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related discipline).

Experience: 4–9 years of relevant experience in analytics or data science, preferably in retail, eCommerce or consumer internet Technical Skills: SQL: Expert in querying and transforming large-scale structured data. Python: Skilled in data analysis, modeling, and automation (pandas, NumPy, scikit-learn, statsmodels, etc.). Big Data Tools: Familiarity with Hive, Spark Visualization: Proficiency with Tableau, Looker, Power BI Hands-on with Machine Learning Data-science expectations: Strong proficiency in feature engineering, including creation of domain-driven features from raw and large-scale datasets Hands-on experience with supervised machine learning models and ability to apply them to real-world problems Ability to select appropriate modeling approaches based on business context, data characteristics, and problem type Understanding and application of model evaluation metrics with clear reasoning of trade-offs, especially in risk use cases Experience with model validation techniques, including cross-validation and robustness checks Ability to run, debug, and retrain existing machine learning models with new data independently Experience in supporting and contributing to feature pipelines and reusable data workflows Ability to validate model outputs, perform sanity checks, and identify data or model-related issues before downstream use Hands-on exposure to unsupervised techniques and their application in exploratory or anomaly detection contexts Ability to perform structured exploratory analysis to derive signals relevant for modelling and risk identification Experience working with large datasets and scalable data environments Ability to translate model outputs into actionable business insights, with clear articulation of assumptions and limitations Curiosity & Growth Mindset: Strong propensity to learn and expand into emerging areas such as AI applications.

Enthusiastic about experimentation and continuous improvement. Business and Communication Skills: Ability to transfer technical findings into clear narratives and communicate with product and business teams. Excellent storytelling, presentation, and stakeholder management skills.

PREFERRED QUALIFICATIONS: Experience with marketplace, retail, or eCommerce analytics. Experience building analytical products or predictive models that drive measurable business impact. Passion for leveraging data to improve customer experiences and optimize digital products.

About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption.

People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow.

We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Work Walmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers.

This role is based in our [Bangalore/Chennai] office for daily work, with the flexibility for associates to manage their personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.

Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins.

Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice.

We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years' experience in data analysis, data science, statistics, or related field.

Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in data analysis, data science, statistics, or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Primary Location...

Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India