(usa) Manager, Advanced Analytics - Marketing & Engagement

Walmart Walmart · Retail · Upstream Building AR Bentonville, BELLEVUE SKYLINE WA BELLEVUE

Manager, Advanced Analytics - Marketing & Engagement at Walmart Imports, focusing on seller lifecycle growth measurement. This role defines KPI standards, establishes experimentation frameworks, and delivers insights to inform marketing investment and growth strategy. It involves hands-on analytics, strategic influence, and end-to-end ownership of measurement, marketing analytics, experimentation, and advanced problem-solving. The role partners with Data Science on predictive modeling but owns the business interpretation and impact measurement.

What you'd actually do

  1. Own and evolve the measurement framework for seller lifecycle performance, including acquisition, onboarding, activation, engagement, retention, and lifetime value.
  2. Design and own performance measurement frameworks for marketing campaigns, seller engagement initiatives, and go-to-market programs.
  3. Design and evaluate randomized and quasi-experimental frameworks to measure causal impact of growth initiatives.
  4. Apply statistical and analytical methods to quantify drivers of seller acquisition, engagement, and retention.
  5. Develop executive-ready dashboards and structured narratives that provide transparency into growth performance and business health.

Skills

Required

  • 5+ years of experience in marketing analytics, growth analytics, product analytics, or a related quantitative field.
  • Strong proficiency in SQL
  • experience using Python or R for data analysis.
  • Experience designing and evaluating A/B tests or structured experimentation frameworks.
  • Experience analyzing acquisition, onboarding, activation, retention, or engagement performance metrics.
  • Experience building dashboards and executive-facing reporting using BI tools (e.g., Tableau, Power BI, Looker).
  • Demonstrated ability to translate complex analyses into clear, actionable business recommendations.
  • Experience operating in cross-functional, matrixed environments with senior stakeholder exposure.

Nice to have

  • Experience in eCommerce, marketplace, logistics, fulfillment, or platform- based business models.
  • Experience analyzing marketplace or seller lifecycle performance metrics at scale.
  • Strong understanding of marketing attribution, incrementality testing, and performance marketing analytics.
  • Familiarity with CRM systems, digital marketing platforms, and marketplace data ecosystems.
  • Experience partnering closely with Data Science teams on predictive modeling initiatives.
  • Working knowledge of advanced statistical techniques such as regression, clustering, causal inference methods, or propensity modeling.
  • Experience building or prototyping predictive models (e.g., LTV, churn, segmentation) using Python or R.
  • Exposure to experimentation platforms, marketing mix modeling concepts, or large-scale data environments.
  • Experience influencing Directors and senior stakeholders in high-growth or ambiguous environments.

What the JD emphasized

  • rigorous, scalable analytics will be critical
  • single-threaded analytics owner
  • building analytical foundations from the ground up
  • define KPI standards
  • establishing experimentation frameworks
  • delivering executive-ready insights
  • quantify marketing effectiveness, incrementality, and return on investment
  • measure causal impact
  • define business requirements and evaluation frameworks for predictive modeling initiatives
  • strengthen measurement infrastructure and data quality
  • quantification of tradeoffs, risk, and return
  • Manage analytics initiatives end-to-end