Walmart Canada · 22 hours ago
Manager, Advanced Analytics - Seller Performance
Bentonville, AR
Full-time
Onsite
Mid, Senior Level
$80K/yr - $155K/yr
4+ years expWalmart Canada is seeking a Manager of Advanced Analytics, Seller Performance to build the next great retail disruptor of global online marketplaces. In this role, you will translate complex data into insights to help leaders and cross-functional partners make informed decisions, measure success, and shape policies that protect marketplace integrity.
DeliveryRetailShopping
Responsibilities
Lead delivery of multiple concurrent analytics initiatives in Marketplace Seller Operational Risk, balancing speed, rigor, and stakeholder alignment in a fast-paced environment
Define the end-to-end analytics strategy for seller operational risk measurement, experimentation, forecasting, and performance management across the 3P Seller lifecycle (onboarding, monitoring, enforcement, reinstatement)
Own a scalable KPI and metric framework (North Star + guardrails) to quantify risk outcomes and business tradeoffs (loss prevention/avoidance, GMV protection, seller friction, ops efficiency, false positives/negatives)
Build and maintain robust operational performance reporting (daily/weekly executive dashboards + deep-dive analyses), with automated anomaly detection and alerting for emerging operational risk patterns
Develop reusable analytical assets (SQL/Python notebooks, feature definitions, metric layers, and data marts) enabling consistent measurement across teams and experiments
Partner with Data Science to design, validate, and monitor predictive operational risk models and early-warning indicators; support model evaluation with precision/recall, calibration, drift monitoring, bias checks, and threshold optimization
Apply causal inference and experimental design to evaluate risk policies and controls (A/B, quasi-experiments like diff-in-diff / matching where randomization isn’t feasible), and translate results into product/policy decisions
Design 'test-and-learn' frameworks for operational controls, including power calculations, success criteria, instrumentation requirements, and post-test readouts with clear recommendations
Collaborate with Product and Engineering to identify gaps in current operational risk tooling, define requirements, and design scalable data products (self-serve analytics, decisioning insights, enforcement explainability)
Drive instrumentation and event taxonomy improvements (logging standards, data contracts, lineage, and SLAs) to increase trust in seller risk signals and reduce measurement gaps
Establish and enforce data quality monitoring (completeness, timeliness, consistency) and governance for seller risk datasets and feature stores; implement QA checks and automated validation pipelines
Perform deep forensic analyses on seller abuse vectors (identity/linkage, returns/refunds abuse, counterfeit signals, policy evasion), combining structured and semi-structured data sources
Build segmentation and cohorting frameworks to understand risk by seller type, category, geography, fulfillment model, and maturity stage; identify leading indicators and intervention points
Communicate complex analytical findings through crisp narratives, exec-ready artifacts, and tradeoff discussions; influence cross-functional decisions without direct authority
Mentor and develop analysts; set standards for analytical rigor, code quality, documentation, and reproducibility (version control, peer review, testing)
You bring experience in eCommerce/commerce platforms (ideally Marketplace/3P sellers) with a strong understanding of seller operational performance, trust & safety, fraud/abuse, and risk controls
You’re a data storyteller who can translate complex analyses into clear narratives, recommendations, and tradeoff discussions for product and business leaders
You thrive in ambiguous problem spaces—you can frame problems, form hypotheses, dive deep into data, and independently drive to answers
You operate with strong customer and seller centricity, balancing risk mitigation with seller experience and business growth
You’ve partnered across multiple functions (e.g., Product, Ops, Risk, Compliance, Engineering, Data Science) and can influence without authority
You have a strong foundation in statistics and applied analytics, with experience working on large-scale datasets and ensuring analytical rigor
You’re exceptional at data hygiene and accuracy: collecting, validating, organizing, and communicating insights with strong attention to detail
You have hands-on expertise supporting experimentation and causal measurement, including sampling strategy, labeling, EDA, bias checks, defining success metrics, and interpreting results
You’re highly proficient in SQL and advanced analytics using Python (preferred) and/or R, including building reusable analysis frameworks and production-quality notebooks
You have experience with Hive/Spark/Databricks-style distributed querying and optimizing queries/pipelines for scale and performance
You’ve built or automated datasets and pipelines in cloud data architectures (e.g., GCP), and understand concepts like orchestration, data quality checks, and monitoring
You have strong experience with BI and visualization tools (Tableau, Looker, and/or Shiny) and can build executive-ready dashboards that drive decisions
You collaborate effectively with data scientists and data engineers, writing clear requirements, defining data contracts, and aligning on metrics/feature definitions
You’re curious, proactive, and comfortable operating in unstructured environments, building structure where none exists
You have experience analyzing user behavior and product funnels—cohorting, segmentation, retention/engagement, and identifying friction or abuse patterns
You enjoy working in a fast-paced agile environment, managing competing priorities while maintaining high standards for quality and impact
Qualification
Required
BA/BS or Master's in Business, Marketing, Mathematics, Statistics, Computer Science, Engineering, or a related field (or equivalent practical experience)
4+ years of experience in advanced analytics / data analysis, including work in risk management, trust & safety, fraud/abuse, compliance, or seller/platform integrity (eCommerce/marketplace experience a plus)
Demonstrated ability to own end-to-end analytics projects—problem framing, stakeholder alignment, execution, and delivery of measurable business impact
Strong organizational and program execution skills with a high bar for quality, attention to detail, and the ability to manage competing priorities in a fast-paced environment
Excellent communication and influence skills: ability to translate complex analyses into clear, actionable recommendations for cross-functional and executive audiences
Proven track record of being a self-starter with high ownership, accountability, and comfort operating in ambiguous problem spaces
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
Preferred
Master's Degree in Mathematics, Statistics, Data Science or a related technical field
Background in Marketplace Analytics, Retail and/or eCommerce Analytics
Retail and/or eCommerce industry experience in a heavily data-driven environment
Risk management and application of analytics
Certificate in business analytics, data mining, or statistical analysis
Masters: Business Administration
Masters: Information Systems
Masters: Statistics
Benefits
Competitive pay
Performance-based bonus awards
Medical, vision and 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 and long-term disability
Company discounts
Military Leave Pay
Adoption and surrogacy expense reimbursement
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities
Tuition, books, and fees are completely paid for by Walmart
Company
Walmart Canada
Walmart Canada is a subsidiary of Walmart that operates a chain of more than 400 stores nationwide. It is a sub-organization of Walmart.
10001+ employees
Funding
Current Stage
Late StageRecent News
Canada NewsWire
2025-12-18
Canada NewsWire
2025-12-03
Company data provided by crunchbase