Senior Manager, Data Analytics at Walmart leading data - driven strategies for business objectives. Overseeing data quality and driving innovation in analytics and insights across multiple functions.
About the role
- Senior Data Analyst specializing in hands-on analytics to build dashboards and optimize SQL. Collaborating across teams at Artifact Uprising to help them understand what the data is telling them.
Responsibilities
- Write and optimize SQL in Snowflake for segmentation, funnel analysis, cohort behavior, and promotional impact; perform acquisition, LTV, retention, and customer journey analysis that connects to business action
- Design and evaluate A/B tests, apply significance testing, and translate complex analysis into clear, concise data stories that non-technical stakeholders can act on
- Contribute to data models that support ongoing and ad hoc analysis
- Build and maintain accurate, well-documented Looker dashboards tightly aligned with how teams make decisions; reduce dashboard sprawl and enforce consistent metric definitions across the org
- Proactively surface trends, anomalies, and emerging opportunities through ongoing monitoring; maintain data quality standards and flag upstream issues to data engineering
- Serve as a reliable analytics partner to Marketing, Merchandising, Product, Operations, CX, and Finance
- Help stakeholders understand what they can self-serve (Looker, Heap) versus what needs analytical support; shape vague requests into well-scoped analyses with clear tradeoffs and sequencing
- Partner with product and engineering to define what data should be instrumented based on the questions that matter most
Requirements
- 5+ years of experience in an analytics function with strong problem-solving skills
- Advanced SQL, window functions, CTEs, complex joins, and the ability to debug unexpected results by tracing them back to the data model; working knowledge of data warehousing, relational databases, and dimensional modeling
- E-commerce experience
- Proficiency in a modern BI tool (Looker strongly preferred; Tableau or Power BI acceptable), including building and maintaining the semantic layer
- Statistical rigor: able to distinguish correlation from causation, design and evaluate A/B tests, and communicate findings clearly to non-technical audiences
- Collaborative and curious, experienced in navigating competing priorities, turning ambiguous asks into clear deliverables, and partnering across multiple teams with a growth mindset
- BS in a quantitative discipline (mathematics, statistics, computer science) or equivalent experience.
Benefits
- Industry leading health, vision and dental insurance for families (Plans cover 100% for employees and up to 95% for dependents)
- Flexible vacation policy
- Gym partnership with ClassPass
- 401(k) matching plan
- Year-End Company Bonus Plan.
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