Senior Manager, BI & Data Analytics

The Senior Manager, BI & Data Analytics is a key analytics leader supporting Walmart's China business — partnering directly with Business Development (BD), Category Management, and Cross-Border Trade (CBT) teams. This role owns the end-to-end analytics agenda that powers seller acquisition, category growth, cross-border merchandising, and international expansion decisions. The ideal candidate combines deep e-commerce and marketplace analytics expertise with strong stakeholder management skills, and is comfortable operating across China and U.S. time zones with both English and Mandarin business partners.

BUSINESS CONTEXT

BD (Business Development): seller sourcing, onboarding funnels, pipeline health, and GMV ramp analytics.

Category: assortment, pricing, promotion effectiveness, competitive benchmarking, and category P&L insights.

CBT (Cross-Border Trade): cross-border seller performance, logistics/fulfillment KPIs, market expansion (US, MX, CA), FX and landed-cost analytics, and compliance reporting.

Key Responsibilities — Business Insight

Act as a trusted analytics advisor to BD, Category, and CBT leadership — turning data into commercial recommendations, not just charts.

Partner with BD to size market opportunities, prioritize seller sourcing lists, and quantify TAM / SAM / SOM by category and region.

Diagnose seller funnel drop-off (lead → onboarded → first-GMV → scaled) and recommend interventions with measurable ROI.

Enable Category managers with assortment gap analysis, price elasticity, promo lift, halo/cannibalization, and competitive benchmarking vs. Amazon / JD / Tmall / TikTok Shop.

Drive CBT growth insights: cross-border GMV drivers, seller cohort performance, logistics SLA impact on conversion, landed-cost and FX sensitivity, and new-market entry business cases.

Build weekly / monthly business review (WBR / MBR) narratives with root-cause analysis, forecast vs. actual, and clear 'so-what' recommendations.

Deliver executive-ready storytelling to China leadership and Global Marketplace / International stakeholders — insight first, dashboard second.

Key Responsibilities — Data & Analytics Capability

Lead a team BI developers and data analysts across Category and Post Launch Seller domains.

Own the analytics roadmap and capability stack: descriptive → diagnostic → predictive → prescriptive.

Architect scalable semantic layers, certified metric definitions, and self-service dashboards (Tableau, Power BI, Looker, or Walmart internal tools).

Partner with Data Engineering on trusted pipelines from BigQuery / GCP, marketplace systems, seller CRM, and CBT logistics platforms.

Establish forecasting models (GMV, seller ramp, category demand) and anomaly-detection alerts for business-critical KPIs.

Stand up experimentation and causal-inference capabilities (A/B tests, geo-holdouts, diff-in-diff) to measure BD and Category initiatives.

Introduce advanced analytics where it moves the needle: seller propensity / churn models, price optimization, assortment recommenders, LTV / CAC modeling.

Define and govern KPI frameworks across BD / Category / CBT with a single source of truth and clear metric ownership.

Champion data literacy and self-service adoption across Mandarin- and English-speaking business teams.

Manage intake, prioritization, and delivery cadence across multiple concurrent business stakeholders using agile ceremonies and OKRs.

Required Qualifications

Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related quantitative field.

5+ years of BI / analytics experience, with meaningful exposure to e-commerce or marketplace businesses.

2+ years of direct people management experience leading analytics or BI teams.

Expert SQL; proven ability to design performant queries against large marketplace datasets.

Hands-on experience with at least one enterprise BI platform (Tableau, Power BI, Looker, ThoughtSpot).

Strong understanding of dimensional modeling, ELT patterns, and cloud data warehouses (BigQuery, Snowflake, etc.).

Proficiency in Python or R for statistical analysis, forecasting, and workflow automation.

Working knowledge of statistical methods: regression, hypothesis testing, cohort analysis, time-series forecasting.

Demonstrated ability to structure ambiguous business problems into hypothesis-driven analyses with measurable outcomes.

Demonstrated ability to influence senior leaders and translate data into commercial strategy.

Business-level fluency in both Mandarin and English (written and verbal).

Preferred Qualifications

Prior experience supporting BD, Category Management, or Cross-Border Trade at a marketplace (Walmart Marketplace, Amazon, JD, Tmall Global, Shopee, Lazada, TikTok Shop, SHEIN, Temu, etc.).

Experience with dbt, Airflow, Git, and CI/CD workflows applied to analytics.

Hands-on experience with experimentation platforms and causal inference (A/B testing, geo-experiments, diff-in-diff, uplift modeling).

Exposure to GenAI / LLM-based analytics tooling (text-to-SQL, automated insight generation, agentic analytics).

Experience partnering with Finance on unit economics, contribution margin, and business-case modeling.

Familiarity with cross-border logistics, customs, FX, and landed-cost economics.

Understanding of China data governance and cross-border data compliance (PIPL, etc.).