Senior Manager, Data Analytics

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $117,000–$234,000 / yr
Employment: Full-time
Posted: 22 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $184k

This role $176k

$103k most similar roles pay here $248k

This role pays less than 56% of similar roles. Most pay $154,488–$214,500 — the shaded band above. At the midpoint, this role pays about $176k versus about $184k 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.

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At a glance

TL;DR · Senior Manager, Data Analytics

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The (USA) Senior Manager, Data Analytics leads the development and execution of data strategies within the Product Analytics team. This role focuses on enhancing omnichannel products and features through advanced AI-driven data science and experimentation. You will identify data sources, perform quality checks, and translate complex business problems into data-driven analytical solutions. Daily responsibilities include designing visualizations, mentoring team members on data storytelling, and collaborating cross-functionally to align analytics with organizational goals. You will utilize a technical stack including Python, SQL, NoSQL, Spark, Scala, and R, alongside visualization tools like Matplotlib, Plotly, Tableau, and PowerBI. The work involves managing data governance, performing exploratory data analysis, and applying advanced statistical techniques to drive operational excellence and informed decision-making in a dynamic, data-centered environment.

Skills

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

What you'll do

Identify and assess data sources that align with business requirements and service level agreements.
Perform initial data quality checks and manage ongoing data quality improvement initiatives.
Translate complex business problems into data-driven analytical solutions using advanced techniques.
Design and implement effective data visualizations to communicate insights and influence stakeholders.
Develop and execute data strategies that unlock business value and support enterprise data governance.
Mentor team members on analytics methods, data storytelling, and best practices.
Collaborate cross-functionally to align analytics initiatives with organizational goals and priorities.

What we're looking for

Option 1: Bachelor's degree in a related field and 4 years' experience in data analysis, data science, statistics, or a related field.
Option 2: Master's degree in a related field and 2 years' experience in data analysis, data science, statistics, or a related field.
Option 3: 6 years' experience in data analysis, data science, statistics, or a related field and 1 year's supervisory experience.
Extensive experience in data analytics, including big data technologies and advanced statistical techniques.
Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
Strong knowledge of data quality management, data governance, and enterprise data architecture principles.
Expertise in exploratory data analysis, data modeling, and database technologies including SQL and NoSQL.
Related industry experience such as retail, merchandising, healthcare, or eCommerce (preferred).

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