(USA) Senior, Data Analyst

Walmart•Bentonville, AR

18h•Onsite

About The Position

Join Walmart as a Senior Data Analyst and leverage your expertise in data sourcing, quality management, and advanced analytics to deliver actionable business insights. This role requires a deep understanding of data ecosystems, visualization techniques, and statistical methods to support strategic decision-making across multiple business domains. You will collaborate with stakeholders to translate complex data into clear, impactful recommendations that drive operational improvements and business value. The position emphasizes data integrity, effective communication, and continuous enhancement of analytical processes within a dynamic corporate environment. The Global Audit Data Analytics Team within Global Technology Audit partners with audit and business units to identify and mitigate risks through advanced data analytics and strategic insights. The team leverages expertise in data strategy, statistical modeling, and visualization to enhance 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.

Requirements

Extensive knowledge of data sources, including SQL and NoSQL databases, and experience performing data quality assessments.
Strong understanding of data strategy principles, data management, governance, and data quality standards.
Proven ability to translate complex business requirements into data-driven solutions aligned with organizational goals.
Proficiency in advanced data visualization tools such as Python libraries, Tableau, or PowerBI to communicate insights effectively.
Experience conducting exploratory data analysis using statistical techniques and relevant scripting languages like Python or SQL.
Ability to manage data quality frameworks, monitor metrics, and lead data cleansing initiatives.
Skilled in collaborating with stakeholders to deliver actionable business insights and support decision-making.
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.
Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field.
4 years' experience in data analysis, data science, statistics, or related field.

Nice To Haves

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)

Responsibilities

Identify and evaluate data sources aligned with business requirements and quality standards.
Perform initial data quality assessments and manage ongoing data cleansing activities.
Translate complex business problems into data-driven solutions using appropriate analytical methods.
Develop and present clear data visualizations tailored to stakeholder needs.
Collaborate with cross-functional teams to align data initiatives with business strategy.
Monitor and report on data quality metrics to ensure compliance with governance policies.
Mentor junior analysts on data analysis techniques and visualization best practices.
Support exploratory data analysis to uncover trends, patterns, and actionable insights.