Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the world’s biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, we’re reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands (Sam's Club, Bonobos, Moosejaw and many more!), you’ll play a crucial role in shaping the future of retail, improving millions of lives around the world.

This is that place where your passions meet purpose. Join our family and build a career you’re proud of.

PLEASE NOTE: The team comes into the office 5 days a week; this is not a remote position. This role is based out of Bentonville, Arkansas. If you are not local and apply for this role, please specify "open to relocation" at the top of your resume, if that is applicable, for consideration. Walmart does not provide relocation assistance for this role. This position is not eligible for sponsorship now or in the future.

Job Summary

Step into the epicenter of data interpretation and analysis as a Data Analyst II . This dynamic role puts you at the heart of our operations , where you'll play a critical role in decoding user behavior through our products.

As a Data Analyst II , your primary responsibility will be to research, collect and analyze user data, transforming raw figures into actionable insights. You'll be the creative mind behind user-centric dashboards that capture key performance indicators, aiding our product teams in their strategic decision-making process.

Joining us means partnering with other Data Ventures teams, uniting your expertise with theirs to analyze, assess and provide insights about our users that drive our business strategies. Your analytical skills will not only shape our products but also plot the trajectory of our user s' journey.

In this role, you'll be a key player in our Data Ventures / Data Enrichment team, collaborating with partners across Walmart Digital Citizenship, Walmart Global Tech and our product teams to champion the ethical and responsible use of data and technology.

Your impact will be felt in three major areas: enabling new data products by providing them with accurate data, improving product efficiency by focusing on data enrichment to reduce costs, and more importantly, ensuring the health and safety of our data to help our customers succeed.

If you're passionate about data, thrive on insights , and are ready to make a tangible impact on product development strategy, then we want to hear from you. As a Data Analyst II , you've be at the intersection of data, technology, and business, where your work will directly support our mission to help our customers win.

About Data Ventures

Data Ventures exists to unlock the full value of Walmart's data by developing and productizing B2B data initiatives that empower merchants and suppliers to make better, faster decisions for the business. As part of this transformation, we're seeking entrepreneurial individuals to help drive data productization from concept to deployment.

Teams You'll Be Considered For

Apply once, be considered for all! By applying to this position, you'll be considered for all Data Analyst opportunities within the Data Ventures organization . The possibilities include, but are not limited to:

• Data Readiness
• Data Quality
• Product Analytics
• Security and Controls
• Data Support

You'll Make An Impact By

• Partnering with business and product stakeholders to solve challenging business problems and identify trends and opportunities
• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and provide actionable insights
• Defining and evaluating key performance metrics for new product launches
• Developing data visualizations to monitor and quantify the impact of the product initiatives and unique business challenges
• Identifying new levers to help improve key financial data insights, understanding root causes for change in metrics
• Conducting exploratory data analysis including hypothesis testing, statistical inference and statistical analysis
• Collaborating with data stewards and data engineering team to gather and process right information from various sources
• Working effectively cross-functionally and communicate data and insights to non-tech leadership team

You'll sweep us off our feet if you have ...

• Strong exploratory data analysis skills and ability to make analytical, data driven recommendations and solutions
• Experience with languages used to manipulate data and draw insights from large data sets (SQL, Python , Presto etc.,)
• Strong story telling experience with data visualizations in Power BI, Tableau, Looker etc.
• Experience with the data quality tools such as Google DataPlex ( Collibra Data Quality or SAS Data Management or IBM InfoSphere Information Server)
• Experience with quality testing using Selenium, Cucumber, or Tosca
• Experience in building multi-step ETL jobs/data pipelines and working with job scheduling systems
• Experience with process ing multi-dimensional data on cloud platforms (Preferably Google Bigquery and Hive )
• Experience work ing on Data Modeling (E-R) and have strong BI concept s
• Basic understanding of statistics and machine learning models
• Prior experience in the retail or finance business domains
• Compelling, persuasive oral and written communication skills and can build strong cross-functional relationships
• Comfortable with shifting priorities in fast moving environment
• Other tools and technologies we are considering are Oracle, Teradata, Hive, AWS Redshift , Azure Synapse Analytics, Snowflake, etc.

Position Location:

• Bentonville, AR
• 5 days a week in the office (not a remote/virtual position)

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field Option 2: 2 years' experience in data analysis, data science, statistics, or related field.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau)