Walmart Canada · 3 hours ago
Senior Manager, Data Analytics - Advanced Analytics - Multi Touch Attribution
(USA) Sam's Home Office AR Bentonville Home Office
Full-time
Onsite
Mid, Senior Level
$90K/yr - $180K/yr
4+ years expWalmart Canada is seeking a Senior Manager of Advanced Analytics focused on Multi-Touch Attribution. In this high-impact leadership role, you will lead the development of advanced measurement solutions that drive incremental ad revenue and sales performance across Sam’s Club’s Member Access Platform.
DeliveryRetailShopping
Responsibilities
Build and scale advanced measurement solutions
Drive incremental revenue and sales impact
Evolve Omni Impact MTA into a scalable product
Lead the refinement and operationalization of Omni Impact MTA using online and offline data, ensuring it can be refreshed, rescored, and reused efficiently without custom rebuilds
Launch an Enhanced MMM solution
Create and operationalize an Enhanced MMM framework that supports budget planning and optimization, integrates MTA outputs as priors, and materially reduces processing and turnaround time
Operationalize continuous model delivery
Establish repeatable processes for annual builds and biannual or quarterly refreshes that maintain consistency, transparency, and alignment with prior reporting
Deliver more granular, supplier-ready insights
Advance modeling logic to deliver brand- and media-type–level insights (e.g., onsite display, social, offsite), enabling suppliers to clearly see what drives performance
Expand channel and data coverage
Integrate new media channels and data sources (ISB, TV Wall, social platforms, Freeosk, enterprise marketing assets) into attribution and MMM frameworks
Leverage Generative AI to scale insights
Enhance GenAI-driven insight generation that automates storytelling around incremental sales, iROAS, and path-to-purchase—making advanced analytics easier to consume and act on
Engineer for efficiency and scale
Partner with data engineering to eliminate manual workflows, modernize pipelines, structure codebases for reuse, and maintain strong documentation and governance standards
Act as a trusted technical leader
Serve as the analytics authority for internal stakeholders and suppliers, supporting executive readouts, case studies, seasonal analyses, and strategic measurement conversations
Qualification
Required
Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field
Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field
6 years' experience in data analysis, data science, statistics, or related field
1 year's supervisory experience
A proven track record building and scaling MMM and MTA solutions that influence media investment decisions and drive measurable revenue impact
Deep expertise in advanced analytics, ML, and statistical modeling within a retail media, advertising, or data-rich environment
Strong programming skills in Python and SQL, with hands-on experience in Databricks, BigQuery, and GitHub-based development workflows
Experience designing production-ready data pipelines that integrate online, offline, social, and in-store data sources
Practical experience applying Generative AI to analytics—particularly for automating insights, interpretation, or narrative generation
A process engineer mindset with a bias toward automation, scalability, and repeatability over one-off solutions
The ability to translate complex analytics into clear business value for sales teams, suppliers, and executive leadership
Comfort operating in ambiguity, with the curiosity and drive to continuously improve how measurement works
Preferred
Familiarity with retail, membership-based businesses, or retail media networks
AI/ML engineering experience building scalable measurement or targeting systems
Master's degree or PhD in a quantitative field such as Statistics, Economics, Computer Science, Mathematics, or similar
Data science, data analysis, statistics, or related field
Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field
Related industry experience (for example, retail, merchandising, healthcare, eCommerce)
Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)
Supervisory experience
Benefits
Health benefits include medical, vision and dental coverage
Financial benefits include 401(k), stock purchase and company-paid life insurance
Paid time off benefits include PTO, parental leave, family care leave, bereavement, jury duty, and voting.
Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities.
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