(USA) Manager, Advanced Analytics - Marketing & Engagement

Walmart•Bentonville, AR

20h•Onsite

About The Position

Walmart Imports (WI) is a rapidly growing logistics and fulfillment service designed to simplify cross-border importing and accelerate inventory flow into Walmart U.S. fulfillment centers. By streamlining international shipping and integrating with Walmart Fulfillment Services (WFS), WI enables faster replenishment, cost efficiency, and scalable growth for sellers and the broader Walmart ecosystem. As WI enters its next phase of growth acceleration, rigorous, scalable analytics will be critical to driving seller acquisition, onboarding, activation, engagement, and long-term retention. The Manager, Advanced Analytics – Marketing & Engagement will serve as the single-threaded analytics owner for seller lifecycle growth measurement. This role is responsible for defining KPI standards, establishing experimentation frameworks, and delivering executive-ready insights that directly inform marketing investment, product prioritization, and growth strategy. This is a high-impact individual contributor role that combines strategic influence, hands-on analytics, and end-to-end ownership. The ideal candidate thrives in ambiguity, enjoys building analytical foundations from the ground up, and is passionate about using data and experimentation to drive measurable business outcomes at scale. This role will shape how Walmart Imports measures and accelerates seller growth at scale. By establishing foundational measurement standards and driving experimentation rigor, this position will directly influence marketing investment decisions, seller experience optimization, and long-term business expansion. This is an opportunity to build the analytical backbone of a high-growth business within Walmart’s ecosystem — with visibility, ownership, and meaningful business impact.

Requirements

5+ years of experience in marketing analytics, growth analytics, product analytics, or a related quantitative field.
Strong proficiency in SQL and 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.
Bachelor’s degree in Business, Finance, Accounting, Statistics, or related field and 2 years' experience in data analytics or related field OR 4 years' experience in data analytics or related field.

Nice To Haves

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.
Certificate in business analytics, data mining, or statistical analysis
Masters: Business Administration, Masters: Information Systems, Masters: Statistics

Responsibilities

Own and evolve the measurement framework for seller lifecycle performance, including acquisition, onboarding, activation, engagement, retention, and lifetime value.
Define and maintain canonical KPI definitions and metric standards across Marketing, Product Marketing, and Product teams.
Ensure alignment between operational reporting, experimentation results, and executive-level performance dashboards.
Serve as the subject matter expert on seller growth metrics and performance drivers.
Design and own performance measurement frameworks for marketing campaigns, seller engagement initiatives, and go-to-market programs.
Quantify marketing effectiveness, incrementality, and return on investment across acquisition channels.
Conduct funnel, cohort, and lifecycle analyses to identify friction points and prioritize growth opportunities.
Develop scalable segmentation strategies to improve targeting, personalization, and long-term seller value.
Provide structured recommendations that inform marketing budget allocation and growth investment decisions.
Design and evaluate randomized and quasi-experimental frameworks to measure causal impact of growth initiatives.
Establish best practices for experiment governance, including hypothesis design, power analysis, guardrail metrics, and readout frameworks.
Partner with cross-functional teams to prioritize high-impact experimentation aligned to business objectives.
Ensure consistent interpretation and communication of experimental results to senior stakeholders.
Apply statistical and analytical methods to quantify drivers of seller acquisition, engagement, and retention.
Translate complex, ambiguous business problems into structured analytical approaches.
Partner with Data Science to define business requirements and evaluation frameworks for predictive modeling initiatives (e.g., LTV, churn risk, engagement scoring), while maintaining ownership of business interpretation and impact measurement.
Identify data gaps and work with Engineering and Data teams to strengthen measurement infrastructure and data quality.
Develop executive-ready dashboards and structured narratives that provide transparency into growth performance and business health.
Synthesize data across marketing platforms, seller systems, fulfillment metrics, and product usage to generate holistic insights.
Influence strategic decision-making through clear quantification of tradeoffs, risk, and return.
Manage analytics initiatives end-to-end, from problem framing to impact measurement.

Benefits

competitive pay
performance-based bonus awards
medical coverage
vision coverage
dental coverage
401(k)
stock purchase
company-paid life insurance
PTO (including sick leave)
parental leave
family care leave
bereavement
jury duty
voting
short-term disability
long-term disability
company discounts
Military Leave Pay
adoption and surrogacy expense reimbursement
Live Better U (Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities)
Tuition, books, and fees completely paid for by Walmart
annual or quarterly performance bonuses
Stock