Senior Manager, Data Analytics
Position Summary...
At Walmart, we enable the connection between supplier brands and retail shoppers at an unprecedented scale. As primary stewards of our brand promise, “Save Money. Live Better,” we work alongside some of the most talented people in the world to engage with the more than 150M households who shop with us. This is a unique opportunity to join a small, highly-visibility team within the largest company in the world. We believe all digital advertising can be targeted and accountable - and we have Walmart’s sales data to prove it. Walmart Connect wins when suppliers invest in digital media to drive growth; Walmart and our supplier partners win when your digital expertise helps sell more goods online and offline. Growth in our digital advertising business is key to Walmart’s overall growth strategy.What you'll do...
About Team:
Walmart Connect is seeking a Manager of Strategic Insights & Media Analytics. Reporting to a Team Lead overseeing a product category, also known as a Strategic Business Unit (SBU), you will bring the analytical rigor, responsiveness, and creativity required to support WMC’s market leading advertising measurement and insights. As an individual contributor, you will create market facing insights to help advertisers understand media performance, optimize media strategy, and generate incremental investment.
The individual needs to be analytical and solution-driven with the ability to partner with the larger Strategic Insights & Media Analytics team as well as the Sales & Client Service teams to effectively communicate complex media and measurement insights internally and externally. You will play a critical role in analyzing customer behavior, measurement, and performance data across various channels. You will be responsible for leveraging data-driven insights to analyze client retail media strategy and drive value from long-term investment with Walmart Connect as a trusted strategic consultant and partner for our advertising partners.
What You’ll Do:
Exploratory Data Analysis: Drives the organization's reporting & data strategy, setting vision for advanced analytics, pioneering new techniques, and influencing executive decisions through data-driven insights that shape long-term business direction.
Data Automation and Quality Management: Pioneer the adoption of next-generation automation technologies and AI in business intelligence processes and establish organization-wide data quality frameworks that ensure trust in enterprise reporting systems.
Data Visualization: Sets enterprise standards for data visualization and champion data storytelling at the executive level.
Team Leader: Oversee and mentor a team of analysts, fostering a culture of innovation and technical excellence.
Cross-functional Partnerships Drive cross-functional collaboration with sales, marketing, product leadership, and data engineering teams to align strategies and deliver holistic scalable service solutions for client-facing teams.
Strategic Insight Development: Translate complex data analyses into clear and actionable insights, focusing on driving industry trends and strategic client recommendations.
Technical Innovation and Process Improvement: Foster innovation and process improvement across the team by introducing new tools, techniques, and workflows to streamline analytics and reporting processes.
What You’ll bring :
Bachelor's degree in a relevant field such as Data Science, Marketing, Communications, Business Analytics, or a related discipline; advanced degree preferred.
Minimum of 7 years of experience in analytics, insights, or measurement, with at least 3 years of experience managing and mentoring teams. Retail Media or Advertising industries are a plus.
Ability to navigate ambiguity while operating in a fast paced, start-up type of environment.
Significant expertise in SQL, Python, and advanced data visualization tools (e.g., Tableau, Power BI) for data analysis and reporting.
Proven ability to manage multiple projects simultaneously, ensuring quality delivery while meeting deadlines.
Exceptional stakeholder management skills, with experience presenting insights and strategic recommendations to senior leadership and external clients.
Data analysis tools (SQL, Python, R), data visualization platforms (Tableau, Power BI), measurement frameworks (media mix modeling, attribution analysis, lift studies), machine learning (applying supervised & unsupervised algorithms), statistical methods (hypothesis testing, regression analysis, Bayesian inference), retail media expertise (campaign measurement, ad inventory optimization, audience targeting strategies), understanding of digital advertising ecosystems (programmatic buying, walled gardens, consumer insights
Do we want to add a line about navigating ambiguity and operate in a start-up like environment? Or perhaps we skip the start-up piece and focus on dealing with ambiguity.
I like this suggestion. I do feel like in a lot of ways we (WMC) are still very much a start-up. I believe it's good to mention that in these people leader roles.
Do we expect the G-PLs to be in Python and SQL on a daily basis? If not, then I think we might want to soften the language here to "Significant experience with data extraction and analysis programming languages, such as SQL, Python, and/or R.
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 4 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 and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field. 1 year's supervisory experience.Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.