below marketmost similar roles pay hereabove market
This role pays less than
91%
of similar roles. Most pay
$135,000–$177,412
— the blue band above.
At the midpoint, this role pays about
$118k
versus about
$156k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
719 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 592 roles with salary data.
The (USA) Senior, Data Analyst joins the Product Analytics team to support business decision-making across the eCommerce journey and Store Operations. This role involves collaborating with Product, Engineering, Design, and Data Science teams to translate complex business requirements into actionable insights. You will define North Star metrics, KPIs, and measurement frameworks while performing exploratory and statistical analyses to uncover customer behaviors and growth opportunities. Key responsibilities include designing A/B tests, applying causal inference techniques, and building scalable dashboards for monitoring product health. You must utilize SQL, Python, or R for statistical modeling and automation, alongside visualization tools like Tableau, Looker, or Power BI. The work focuses on identifying product friction, conducting cohort and retention analyses, and providing executive-level data storytelling to influence roadmap prioritization and investment decisions.
What does a Data Analyst earn?
Median $124850 from 76 postings across 22 companies.
Define North Star metrics, KPIs, guardrails, and measurement frameworks for product strategy.
Analyze complex datasets to identify customer behaviors, product friction, and growth opportunities.
Design A/B tests and apply causal inference techniques to measure incremental product impact.
Conduct funnel, cohort, segmentation, retention, forecasting, and opportunity-sizing analyses.
Build scalable dashboards, automated monitoring systems, and product-health frameworks.
Translate ambiguous business problems into specific hypotheses, analytical approaches, and recommendations.
Influence roadmap and investment decisions through executive-level data storytelling.
Establish metric governance and analytical best practices across product teams.
What we're looking for
Meet one of the following: a Bachelor's degree in a related field with 2 years of experience, a Master's degree in a related field, or 4 years of experience.
Possess 5+ years of product analytics or related quantitative experience.
Demonstrate advanced SQL skills and strong analytical problem-solving abilities.
Exhibit expertise in experimentation, statistical inference, causal analysis, funnels, cohorts, segmentation, and retention.
Demonstrate proficiency in Python or R for statistical modeling, automation, and advanced analytics.
Show proficiency with Tableau, Looker, Power BI, or similar visualization tools.
Experience defining North Star metrics, KPIs, guardrails, and measurement frameworks tied to business outcomes.
Possess exceptional executive communication and data storytelling skills to influence cross-functional leaders.
SQL
Python
Tableau
BigQuery
PostgreSQL
Cosmos DB
Matplotlib
Spark
Scala
R
Power BI
NoSQL
Machine Learning
Data Governance
Data Quality Management
Data Architecture
Statistical Modeling
Exploratory Data Analysis
SQL
Python
Tableau
PowerBI
GCP BigQuery
Spark
Scala
R
Data Visualization
Statistical Analysis
Data Governance
Data Quality Management
Exploratory Data Analysis
Root Cause Analysis
Python
SQL
Machine Learning
Spark
Scala
R
scikit learn
TensorFlow
Data Engineering
Data Visualization
Exploratory Data Analysis
Feature Engineering
Optimization Models
WCAG) 2.2 AA