Senior Data Analyst, Health and Wellness Analytics

Walmart

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Quick summary

Work type
On-site
Location
Bentonville, AR
Employment
Full-time
Posted
18 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $158k
$105k $205k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $130,187–$186,781.

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 825 open roles on FindRole.

Listed pay typically runs $121,000–$242,000 across 473 roles with salary data.

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At a glance

TL;DR · Senior Data Analyst, Health and Wellness Analytics

As a Senior, Data Analyst (Health and Wellness Analytics), you will join the IROCC Health & Wellness Analytics team to deliver scalable data solutions for Investigations, Legal, and Compliance functions. You will identify and validate data sources, manipulate large datasets, and translate complex business problems into actionable data-driven solutions. Your daily responsibilities include developing dashboards, maintaining data integrity, and applying data governance principles to support risk management and operational compliance. You will utilize a technical stack including SQL, R, Python, Power BI, Dataiku, and BigQuery. Additionally, you will leverage AI to enhance analytics workflows and deploy autonomous systems for process automation. This role focuses on transforming data into strategic insights to strengthen organizational compliance and support informed decision-making across various business functions.

What does a Data Analyst earn?

Median $126775 from 72 postings across 23 companies.

See salary data

What you'll do

  • Identify and validate data sources that meet business requirements and quality standards.
  • Use SQL, Power BI, Dataiku, and BigQuery to manipulate and analyze large datasets.
  • Translate complex business problems into data-driven solutions using advanced analytics and statistical methods.
  • Develop and maintain dashboards and visualizations to communicate insights to stakeholders.
  • Apply data governance and management principles to ensure compliance and data integrity.
  • Design and deploy AI agents or autonomous systems to enhance analytics workflows and process automation.

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 such as Business, Engineering, Statistics, or Computer Science.
  • Possess 4 years of experience in data analysis, data science, statistics, or a related field.
  • Demonstrate extensive experience in data analysis using SQL, R, Python, and statistical techniques.
  • Show strong expertise in data visualization tools like Power BI and Python libraries.
  • Experience leveraging AI to enhance analytics workflows, including designing and deploying AI agents or autonomous systems (preferred).
  • Possess related industry experience in retail, merchandising, healthcare, or eCommerce (preferred).
  • Successfully complete assessments in data analysis, Business Intelligence tools, and scripting languages like SQL, Python, Spark, Scala, R, Power BI, or Tableau (preferred).

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