Senior Data Analyst

Walmart

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Bentonville, AR
Employment: Full-time
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $161k

$105k $209k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $131,692–$189,525.

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.

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At a glance

TL;DR · Senior Data Analyst

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The Senior, Data Analyst joins the Earnings Excellence Finance Data Analytics team to serve as an operations analytics hub. This role involves transforming complex data into actionable business insights to provide end-to-end visibility into Driver Earnings and Disbursements for compliance and regulatory purposes. You will build dashboards and tools to monitor KPIs, maintain scalable data pipelines, and perform root cause analysis to drive operational efficiency. Key responsibilities include extracting and validating data from multiple sources, ensuring data integrity, and mentoring teams on data-driven decision-making. You will utilize SQL, Python, and statistical methods alongside visualization tools like Tableau and PowerBI. Technical expertise in GCP BigQuery and experience with DCA and other data assets are required to solve complex business problems within the LMD Operations domain.

What does a Data Analyst earn?

Median $124850 from 76 postings across 22 companies.

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Skills

SQL Python Tableau PowerBI GCP BigQuery Spark Scala R Data Visualization Statistical Analysis Data Governance Data Quality Management Exploratory Data Analysis Root Cause Analysis

What you'll do

Extract, validate, and maintain scalable data pipelines from multiple sources while ensuring data integrity and governance.
Perform advanced analysis using SQL, Python, and statistical methods to uncover trends and cost-saving opportunities.
Build dashboards and tools to monitor Driver Earnings KPIs and overall operational performance.
Provide ad-hoc analytics and data-backed recommendations to leadership for quick, informed decision-making.
Lead root cause analysis to identify and implement data-driven process enhancements for operational efficiency.
Translate complex business requirements into impactful data projects and clear visual stories for stakeholders.
Mentor team members on data-driven decision-making and best practices for model deployment in GCP BigQuery.

What we're looking for

Obtain a Bachelor's degree in a related field with 2 years of experience in data analysis, data science, or statistics.
Obtain a Master's degree in a related field.
Obtain 4 years of experience in data analysis, data science, statistics, or a related field.
Demonstrate expertise in SQL, Python, and data visualization tools like Tableau or PowerBI.
Possess strong knowledge of data quality management, data governance, and database technologies.
Apply statistical techniques and exploratory data analysis to uncover trends and opportunities.
Experience in retail, merchandising, healthcare, or eCommerce industries (preferred).
Successful completion of assessments in data analysis, BI tools, and scripting languages like Spark, Scala, or R (preferred).

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