(IND) SENIOR, DATA ANALYST

About Team

The Global Product Analytics team in India partners with product, engineering and business leadership teams to transform product and business data into actionable insights. The team supports multiple areas, including customer engagement, digital experience, merchandising, supply chain, financial services and operations.

We help define product success metrics, identify improvement opportunities and enable data-driven product decisions. Our analysts work with cross-functional stakeholders to uncover insights from large and complex datasets, improve customer and business outcomes, and help build impactful products for Walmart.

What You'll Do

Define product metrics, measurement frameworks and analytical roadmaps to identify opportunities for improving products and business outcomes.

Analyse large and complex datasets to uncover patterns, identify root causes and translate findings into actionable recommendations.

Use quantitative analysis to understand the key drivers of customer behaviour, product performance and business results.

Partner with product leaders, designers and engineering managers to evaluate opportunities and prioritize initiatives based on impact.

Conduct analytical deep dives to identify business problems, opportunities and the actions required to address them.

Collect, process and analyse data from multiple sources using SQL, Python, R or other analytical and statistical tools.

Design, execute and analyse A/B tests while driving analytical rigor and a strong experimentation culture across product teams.

Develop new analytical methodologies and scalable approaches to solve complex product and business problems.

Communicate insights clearly and persuasively through business reviews, presentations and executive discussions.

Represent the Product Analytics team in key stakeholder meetings and business reviews.

Actively leverage AI and Generative AI tools to automate repetitive workflows, enhance analytical productivity and accelerate the journey from data to actionable insights.

Demonstrate a strong bias for action and use analytics to drive measurable business impact.

What you'll bring:2–6 years of experience working in a high-growth analytics, product analytics or related data-driven environment.

Bachelor’s degree in Statistics, Computer Science, Business Administration or a related field.

Strong proficiency in SQL, Python including the ability to independently query, transform and analyse complex datasets.

Good understanding of statistical analysis, experimentation and common pitfalls in data interpretation.

Experience in product analytics and working with product development teams is preferred.

Strong analytical and problem-solving skills, with the ability to translate ambiguous business questions into structured analyses.

Excellent written and verbal communication skills, with the ability to communicate complex insights to technical, business and executive stakeholders.

Ability to collaborate effectively with cross-functional teams and influence decisions through data and insights.

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.

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 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

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