- 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.
- 3-6 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.
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. WorkWalmart’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. BenefitsBeyond 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. BelongingWe 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 EmployerWalmart, 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 , IndiaSkills Required
- 6+ years of experience in analytics, product analytics, or a related data-driven environment
- Bachelor's degree in Statistics, Computer Science, Business Administration, Business, Engineering, Economics, Analytics, Mathematics, Arts, Finance, or a related field
- Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field
- 2 years of experience in data analysis, data science, statistics, or a related field with a qualifying bachelor's degree
- 4 years of experience in data analysis, data science, statistics, or a related field
- Strong proficiency in SQL and Python for querying, transforming, and analyzing complex datasets
- Understanding of statistical analysis, experimentation, and data interpretation pitfalls
- Experience in product analytics and collaboration with product development teams
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to collaborate cross-functionally and influence decisions using data and insights
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
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What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.






