This role pays less than
58%
of similar roles. Most pay
$157,837–$214,900
— the shaded band above.
At the midpoint, this role pays about
$176k
versus about
$186k
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
333 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 268 roles with salary data.
(USA) Senior Manager, Advanced Analytics joins the Customer Decision Science team to analyze customer behavior across digital and physical touchpoints. You will drive High Value Habits initiatives by identifying accelerators and decelerators of customer loyalty, translating these findings into actionable insights for high-level business strategy. Your daily work involves building customer-centric metrics, measurement frameworks, and scalable analytics solutions while leading complex projects in collaboration with Product, Engineering, Marketing, Finance, and Strategy teams. You will utilize SQL, Python, BigQuery, and Snowflake to analyze large-scale transactional, behavioral, and clickstream datasets. The role requires expertise in experimentation, causal inference, and observational analytical methodologies to solve problems regarding customer engagement, retention, and loyalty. You will also mentor analysts and communicate complex technical concepts to senior leadership to foster a data-driven culture within the retail and e-commerce domain.
Execute advanced analytics initiatives to drive customer growth, loyalty, retention, and engagement strategies.
Identify business impact opportunities through analysis of customer behavior data to create prioritized analytics roadmaps.
Develop and maintain customer KPIs, measurement frameworks, and success metrics to evaluate performance.
Partner with Product, Engineering, Marketing, and Finance teams to embed analytics into product development.
Apply rigorous analytical methods including experimentation and causal inference to solve complex business problems.
Translate complex data findings into executive-ready narratives to influence high-level business strategy.
Mentor and develop junior analysts while promoting best practices in coding and analytical excellence.
What we're looking for
A BA/BS in Mathematics, Statistics, Computer Science, Economics, or related field with 3-5+ years of experience; OR a Master’s degree with 2-3+ years of experience; OR a PhD with 2+ years of experience.
Alternatively, a Bachelor's degree in Business, Finance, Accounting, Statistics, or related field and 4 years of experience; OR 6 years of experience in data analytics.
Advanced proficiency in SQL (BigQuery, Hive, Snowflake) and strong Python skills for analysis, automation, and statistical modeling.
Experience developing customer, product, and business performance metrics using large-scale transactional, behavioral, or clickstream datasets.
Strong knowledge of experimentation, causal inference, and observational analytical methodologies.
Proven ability to lead complex projects, mentor junior team members, and conduct code reviews in fast-paced environments.
Ability to translate complex data into executive-ready narratives and actionable business strategies for diverse stakeholders.
Preferred certifications in business analytics, data mining, or statistical analysis; and proficiency in SAS or R.
Python
SQL
Tableau
PowerBI
Matplotlib
Plotly
Spark
Scala
R
NoSQL
Data Modeling
Data Governance
Big Data
Data Visualization
Exploratory Data Analysis
Data Quality Management
Data Science
Business Intelligence
Tableau
Power BI
SQL
Python
Spark
Scala
R
Big Data
Data Modeling
Data Visualization
Data Quality Management
Geospatial Tools
Exploratory Data Analysis
AI Tools
Tableau
Power BI
SQL
Python
Spark
Scala
R
Data Modeling
Data Visualization
Big Data
Data Governance
Geospatial Tools
Data Quality Management
Exploratory Data Analysis
Statistics
AI Tools
Data Analytics
Business Intelligence
SQL
Python
Tableau
PowerBI
NoSQL
Spark
Scala
R
Data Quality Management
Data Governance
Data Visualization
Distributed Data Storage
Data Science
Statistics
Automation