Manager, Advanced Analytics - Omni Services Analytics

Walmart•Bentonville, AR

1d•Onsite

About The Position

The Omni Services Analytics team is seeking a Manager, Advanced Analytics to own end-to-end analytics for a service line within Walmart's Omni Services portfolio, including areas such as protection plans, installation services, registries, and other add-on offerings. In this role, you will serve as the primary analytics partner for product directors and business leaders, translating business questions into data-driven insights that inform product strategy, feature prioritization, and operational decisions. You will design and execute experiments, analyze customer behavior across web, app, and in-store channels, and build measurement frameworks that support omni-channel experiences. Beyond business-line ownership, you will contribute to cross-service analytics initiatives, helping build shared data foundations and documentation that improve team efficiency and scalability. You will work in an environment that emphasizes reusable solutions, clear documentation, and building analytics capabilities that extend beyond individual projects.

Requirements

Bachelor’s degree in Business, Statistics, Economics, Computer Science, Analytics, Mathematics, Information Technology, or related field AND 2 years’ experience in data analytics or related field OR 4 years’ experience in data analytics or related field
5+ years of experience writing production-quality SQL for analytics, including complex queries, joins, window functions, query optimization, and performance troubleshooting
3+ years of experience with large-scale data warehouses (BigQuery, Hive, Snowflake, or similar platforms)
3+ years of experience with instrumentation frameworks and event-level data collection systems
Demonstrated experience designing and analyzing A/B tests and controlled experiments, including sample size calculations, statistical significance testing, and handling multiple comparisons
3+ years of experience with data visualization and reporting tools (Tableau, Looker, Power BI, or similar)
Experience documenting data pipelines, metric definitions, and analytical methodologies in wiki or documentation platforms (Confluence, Notion, or similar)
Strong stakeholder management and communication skills with demonstrated ability to present complex analyses to non-technical audiences and influence decision-making
Strong communications skills

Nice To Haves

Master’s degree in Statistics, Information Systems, Business Administration, Economics, or related field
5+ years of experience in analytics roles within retail, e-commerce, or technology companies
Experience with Python or R for statistical analysis, data manipulation, and automation
Experience building or contributing to data pipeline automation
Experience with customer journey analytics across omni-channel experiences (web, mobile app, in-store)
Experience validating instrumentation implementation and data quality for event tracking systems
Demonstrated ability to build reusable analytical frameworks and scalable measurement solutions
Experience working in ambiguous environments where analytics foundations are being established
Certificate in business analytics, data mining, or statistical analysis

Responsibilities

Serve as the primary analytics partner for a specific Omni Services business line (e.g., protection plans, installation services, registries/lists)
Partner with product managers and business leaders to translate business goals into measurable hypotheses and design analytics approaches to validate them
Build and maintain understanding of customer behavior, conversion patterns, and product performance across web, app, and in-store channels
Deliver insights that inform product roadmaps, feature prioritization, and business strategy
Contribute to cross-service analytics that identify patterns across business lines
Scope and execute customer journey analyses that span multiple touchpoints, channels, and service offerings
Collaborate with analytics partners across service areas to share insights and develop portfolio-level perspectives on customer behavior and service performance
Document data sources, pipelines, metric definitions, and business logic including data lineage, limitations, and relationships to other data sets
Build reusable analytical frameworks and repeatable processes
Create documentation that enables knowledge transfer and reduces dependency on individual expertise
Optimize data pipelines and queries for performance and cost efficiency using BigQuery and other enterprise data tools
Design and execute A/B tests to quantify the impact of new features and product changes
Apply statistical power analysis, hypothesis testing, and experimentation best practices
Address multiple testing, confounding factors, and statistical complications in experimental design and analysis
Translate experiment results into actionable recommendations for stakeholders
Integrate advanced analytics tools and techniques into workflows to improve efficiency
Collaborate with team members on complex analytical problems
Evaluate and adopt new analytics methods and share learnings across the team
Contribute to recurring analytics updates for product and business leadership
Communicate insights and analytics impact across the portfolio
Present findings to decision-makers across multiple levels of the organization

Benefits

Competitive pay
Performance-based bonus awards
Health benefits (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 (Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart)