below marketmost similar roles pay hereabove market
This role pays less than
98%
of similar roles. Most pay
$126,800–$202,800
— the blue band above.
At the midpoint, this role pays about
$100k
versus about
$165k
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
724 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 593 roles with salary data.
As a Data Analyst II, you will join the Walmart Data Ventures team to ensure data accuracy, consistency, and accessibility across the organization. You will collaborate with Data Stewards, Product Managers, Data Engineers, and Data Scientists to govern data and support strategic business objectives. Your daily responsibilities include identifying and sourcing data from various databases, performing profiling, cleansing, and validation activities, and developing analytical models to address challenges in product, finance, marketing, and technology domains. You will use SQL, Python, Power BI, and Tableau to translate complex datasets into actionable insights and visualizations. Additionally, you will maintain data governance standards, manage metadata, and mentor junior team members on analytical methods and best practices to promote continuous improvement in enterprise data architecture and management.
What does a Data Analyst earn?
Median $120900 from 80 postings across 23 companies.
Analyze complex datasets to support business decision-making across product, finance, marketing, and technology domains.
Identify and source appropriate data from various databases and distributed data stores.
Develop and apply analytical models and visualization techniques using SQL, Python, and Power BI.
Translate stakeholder business requirements into actionable data solutions and reports.
Perform data quality management through profiling, cleansing, and validation activities.
Mentor junior team members on analytical methods and data visualization best practices.
Maintain data governance standards and enterprise data architecture integrity.
What we're looking for
Obtain a Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field.
Possess 2 years of experience in data analysis, data science, statistics, or a related field.
Demonstrate proficiency in SQL, Python, and data visualization tools such as Power BI and Tableau.
Experience with data quality management, including profiling, cleansing, and validation to ensure accurate datasets.
Knowledge of data governance principles, metadata management, and enterprise data architecture.
Ability to apply statistical techniques and exploratory data analysis to identify trends and actionable insights.
Effective communication skills to convey data findings clearly to stakeholders and support collaborative problem-solving.
Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field (preferred).
Python
SQL
Tableau
PowerBI
Spark
Scala
R
NoSQL
Data Visualization
Big Data Analytics
Data Cleansing
Data Governance
Exploratory Data Analysis
Statistics
Business Intelligence
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
Spark
Scala
R
NoSQL
Data Visualization
Data Governance
Statistical Modeling
Data Quality Management
Big Data
Data Profiling
Exploratory Data Analysis
Data Architecture
Automation
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