(USA) Senior, Data Analyst
(USA) Maverick Building AR Bentonville Home Office Full-time Senior Data Analysis & BI
At a glance
Senior Data Analysis & BI role at Walmart. (USA) Maverick Building AR Bentonville Home Office · full-time · $80,000–$155,000 base.
SalaryStated by Walmart
$80,000 – $155,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Analysis & BI
SenioritySenior
Location(USA) Maverick Building AR Bentonville Home Office
EmploymentFull-time
Base pay$80,000–$155,000
PostedOct 2, 2026 · 3w ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Match data sources to business needs, checking that they meet accuracy and quality standards
- Lead data profiling and cleanup so information remains accurate and dependable
- Use statistical analysis and exploration to turn complex business questions into practical data solutions
- Create clear visualizations for stakeholders and surface trends they can act on
- Coordinate data approaches across teams, while coaching junior analysts on governance and quality practices
What you bring
- Qualify through a related bachelor’s degree plus two years’ experience, a related master’s degree, or four years’ relevant experience
- Bring substantial data analysis, data science, or statistics experience, with SQL and Python skills
- Know how to profile, clean, and monitor data, and turn business needs into solutions
- Work with SQL or NoSQL databases and visualization tools such as BigQuery, PostgreSQL, or Tableau
Who this fits
This senior role suits someone who can turn analytical findings into business guidance and mentor junior analysts. You’ll work full-time onsite in Bentonville, Arkansas. You must be authorized to work in the United States without present or future visa sponsorship.
From the employer
Position Summary...
Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship.This is a full-time onsite role based in Bentonville, AR; remote and hybrid options are not available.
The Senior Data Analyst will leverage advanced analytical techniques and data management expertise to support business decision-making and strategy development. This role involves identifying and validating data sources, ensuring data quality, and applying statistical and visualization methods to translate complex data into actionable insights. The position requires collaboration with cross-functional teams to align data solutions with business objectives, while mentoring junior analysts and promoting best practices in data governance. The successful candidate will contribute to continuous improvement initiatives and uphold the highest standards of integrity and professionalism.
About the team:
The Global Audit Data Analytics Team within Global Technology Audit collaborates with audit and business units to identify and mitigate risks through advanced data analytics and strategic insights. The team applies expertise in data strategy, statistical modeling, and visualization to improve decision-making and operational efficiency. Focused on data quality and innovative solutions, members support Walmart’s mission of delivering value. Utilizing analytical tools and business intelligence, the team drives continuous improvement and operational excellence, enabling informed actions that uphold Walmart’s commitment to efficiency and integrity.
What you'll do...
- Identify and evaluate data sources aligned with business requirements and quality standards.
- Perform data quality assessments and lead cleansing activities to ensure accuracy and reliability.
- Translate complex business problems into data-driven solutions using advanced analytical methods and tools.
- Develop and deliver clear, insightful data visualizations tailored to stakeholder needs.
- Collaborate with cross-functional teams to align data strategies with organizational goals.
- Apply statistical techniques and exploratory data analysis to uncover trends and actionable insights.
- Mentor junior analysts and promote adherence to data governance and quality frameworks.
What you'll bring:
- Extensive experience in data analysis, data science, and statistical methods to derive actionable business insights.
- Proficiency in SQL and Python, with experience working with SQL and NoSQL databases such as BigQuery, PostgreSQL, and Cosmos DB, as well as data visualization tools such as Matplotlib and Tableau.
- Strong knowledge of data quality management, including profiling, cleansing, and monitoring to ensure data integrity.
- Ability to translate complex business requirements into data-driven solutions aligned with strategic objectives.
- Familiarity with big data technologies, data architecture, and machine learning applications to support advanced analytics.
- Effective communication skills to present findings and influence stakeholders across multiple business domains.
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 $80,000.00 - $155,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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 and 2 years'experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics,
Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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)