Digital Marketing Analytics

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.

Walmart Connect is seeking an Analyst in 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.

• 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.
• Cross‑functional Partnerships:
  Drive cross‑functional collaboration with sales, marketing, product leadership, and data engineering teams to align strategies and deliver holistic scalable service.
• 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.

• Bachelor’s degree in a relevant field such as Data Science, Marketing, Communications, Business Analytics, or a related discipline; advanced degree preferred.
• Minimum of +5 years of experience in analytics, insights, or measurement. 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…