This role pays less than
79%
of similar roles. Most pay
$123,625–$175,500
— the shaded band above.
At the midpoint, this role pays about
$120k
versus about
$150k
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.
As a Data Analyst II, you will join the team delivering VIZIO’s Inscape TV data solutions to publishers, agencies, and brands. You will analyze complex datasets to identify trends and patterns that support business decision-making across multiple domains. Your daily responsibilities include developing and maintaining data models, dashboards, and visualizations while performing data profiling, cleansing, and validation to ensure accuracy. You will collaborate with cross-functional teams to translate business requirements into analytical solutions and present clear results to stakeholders. To succeed, you must demonstrate proficiency in big data analytics, statistical techniques, and database technologies including SQL and NoSQL. You will utilize tools such as Python libraries, Tableau, or PowerBI, along with scripting languages like Spark, Scala, or R, to solve technical problems and improve processes.
What does a Data Analyst earn?
Median $126800 from 57 postings across 21 companies.
Analyze complex data sets to identify trends, patterns, and insights for business decision-making.
Develop and maintain data models, dashboards, and visualizations using advanced analytical tools.
Profile, cleanse, and validate data to ensure high quality and reliability across all sources.
Translate cross-functional business requirements into technical analytical solutions.
Identify and source relevant data to address specific business challenges and process improvements.
Present analytical results and findings clearly to stakeholders across various business domains.
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 big data analytics and statistical techniques to support business problem-solving.
Utilize data visualization tools such as Python libraries, Tableau, or PowerBI to create impactful graphical representations.
Maintain strong knowledge of database technologies including SQL and NoSQL for data sourcing and management.
Perform data quality analysis, data cleansing, and support data governance practices.
Communicate analytical results clearly to stakeholders across multiple business domains.
Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field (preferred).
Python
SQL
Machine Learning
AWS SageMaker
MLOps
Spark
TensorFlow
scikit learn
R
Scala
Deep Learning
Data Visualization
Statistical Modeling
Big Data Analytics
Generative AI
Data Governance
WCAG) 2.2 AA
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
Tableau
Power BI
SQL
Python
Spark
Scala
R
Big Data
Data Modeling
Data Visualization
Data Quality Management
Geospatial Tools
Exploratory Data Analysis
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