(USA) Data Analyst II

Position Summary...

What you'll do...

Role summary:
As a Data Analyst II, you will leverage advanced analytical techniques and business knowledge to support data-driven decision-making across multiple domains. This role involves identifying relevant data sources, ensuring data quality, and developing insightful visualizations to communicate findings effectively to stakeholders. You will collaborate with cross-functional teams to address business challenges, support project delivery, and promote continuous improvement. The position requires proficiency in data governance, statistical analysis, and automation tools, contributing to the development and execution of actionable business recommendations aligned with organizational goals.
About the team:
The Digital Workforce team addresses key business challenges by developing AI-enabled solutions that accelerate product development through rapid prototyping. The team integrates expertise in data analytics, visualization, and strategy to transform complex data into actionable insights. Collaborating effectively, members identify optimal data sources, ensure data quality, and apply advanced analytical methods. Focused on continuous improvement, the team leverages cutting-edge technologies to deliver impactful results aligned with business objectives, supporting informed decision-making and enhancing operational efficiency across the organization.
What you'll do:

• Analyze complex data sets to identify trends, correlations, and business insights supporting strategic decision-making.
• Develop and maintain data visualizations using tools such as Python libraries, Tableau, or PowerBI to effectively communicate findings.
• Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
• Support data quality management by profiling, cleansing, and validating data to ensure accuracy and reliability.
• Assist in identifying appropriate data sources and applying statistical techniques to address business challenges.
• Contribute to process improvements and support project activities aligned with business objectives.

What you'll bring:

• Proficiency in data analysis tools and programming languages such as Python, SAS, and SQL to support data exploration and model development.
• Strong understanding of business domains including product, finance and technology to contextualize data insights.
• Experience with data quality management, including profiling, cleansing, and validation to ensure reliable data outputs.
• Ability to develop and present clear data visualizations using tools like Tableau, PowerBI, or Python libraries to influence stakeholders.
• Knowledge of machine learning concepts and automation techniques to enhance analytical solutions.
• Effective communication skills to collaborate with cross-functional teams and support business decision-making.
• Familiarity with project management and business requirements gathering to drive successful analytics initiatives.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $70,000.00 - $130,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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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)

Primary Location...

805 Respect, Bentonville, AR 72716, United States of America

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.