Position Summary...
What you'll do...
About the team
Who We Are: A cross-functional team within Last Mile Strategy & Science, responsible for linking insights to action and build AI agents to automate processes and proactively resolve challenges by embedding clear metrics, data-driven diagnostics, and robust performance reviews
What We Do: We design and maintain performance frameworks, drive analytical insights, and create tools and processes that make delivery operations more predictable, efficient, and customer focused.
Why It Matters: In a business of Walmart’s scale, clarity in measurement and accountability is foundational to delivering customer promise while optimizing cost and service levels.
**What You’ll Do **
Develop and manage advanced analytics models to optimize last-mile delivery strategies, balancing customer satisfaction with operational cost and asset efficiency.
- Use statistical methods and ML models to isolate and quantify key performance drivers (e.g., driver search time, batching lag, routing inefficiencies).
- Define, standardize, and maintain KPI and metric definitions within a central registry / MDM framework to ensure consistency across Operations, Finance, and Tech.
- Partner with internal AI teams to design and deploy AI Agents for automated insight generation and early detection of performance gaps.
- Collaborate across Walmart’s business functions to establish best practices, coordinate initiatives, and rally support for data-driven recommendations.
- Work with cross-functional leaders to secure alignment, sponsorship, and change adoption for key performance initiatives.
- Leverage all available data sources to drive actionable insights that improve delivery speed, reduce cost, and enhance customer and driver experience.
- Communicate insights and recommendations clearly and persuasively via reports, presentations, and leadership reviews tailored to varied audiences.
- Collaborate with Data Scientists and Engineers to productionize and scale analytical models, embedding them in decision processes.
- Build scenario analyses and sensitivity models to inform policy and operational design.
What You’ll bring
- 5-9+ years of experience in performance management, advanced analytics in a complex, data-intensive environment (e.g., last-mile, supply-chain, logistics, or e-commerce).
- Strong analytical acumen and technical expertise in advanced analytics and modelling.
- Proficiency in SQL (BigQuery or similar) and programming in Python (or R).
- Hands-on experience with data visualization tools (Tableau, Looker) to create actionable, leadership-ready insights.
- Background in working with large datasets and distributed computing tools (e.g., Hadoop, Spark, Hive) and in cloud-based environments (e.g., GCP, Azure).
- Demonstrated ability to translate analytical findings into business recommendations and influence senior leaders.
- Strong stakeholder management and cross-functional collaboration skills.
- Clear, concise written and verbal communication skills, including experience presenting to executive stakeholders.
- Proven ability to coach and guide teams, fostering a culture of disciplined performance improvement.
- (Preferred) Background in logistics, supply-chain, or last-mile delivery optimization.
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.
Flexible, hybrid 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 Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics 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