Senior, Data Analyst (TEST REQ - DO NOT APPLY)

Walmart•Bentonville, AR

1d•$80,000 - $155,000

About The Position

The Senior Data Analyst identifies suitable, fit-for-purpose data sources, performs initial data quality checks, and applies an understanding of business domains, data requirements, database technologies, and service-level agreements. The role applies data strategy principles to routine business problems and connects business needs with analytical solutions. It develops recommendations and business cases, translates business requirements into project activities, and identifies relevant business insights. The position formulates business problems as data-related or mathematical problems, selects appropriate methods and tools, and uses data visualization to represent data and model outcomes. It works with user experience designers and user interface engineers as needed, presents insights to business audiences, adapts communications to stakeholders, and mentors junior associates on visualization storytelling. The analyst promotes and manages data quality by profiling and assessing data, validating requirements, monitoring quality metrics and service-level agreements, resolving data issues, and conducting cleansing activities. The role also supports data governance, access management, and compliance with company and regulatory policies concerning privacy, security, retention, and documentation. It conducts exploratory data analysis and statistical analysis to identify patterns, trends, outliers, and correlations, and may build basic statistical models. The role provides expert advice and guidance, develops business solutions in partnership with stakeholders, and supports Walmart’s policies, values, ethics, and standards. It fosters respectful and inclusive collaboration, develops talent, acts with integrity, puts customers and members first, and pursues continuous improvement.

Requirements

One of the following: bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance, or a related field and 2 years of experience in data analysis, data science, statistics, or a related field; master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field; or 4 years of experience in data analysis, data science, statistics, or a related field.

Nice To Haves

Experience in data science, data analysis, statistics, or a related field.
Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Information Technology, or a related field.
Related industry experience, such as retail, merchandising, healthcare, or eCommerce.
Successful completion of assessments in data analysis and business intelligence tools and scripting languages such as SQL, Python, Spark, Scala, R, Power BI, or Tableau.

Responsibilities

Identify suitable data sources based on business needs and perform initial data quality checks on extracted data.
Apply data strategy principles to routine business problems involving a single function.
Recommend solutions to complex business issues, develop business cases with projected returns or cost savings, and translate business requirements into project activities and tasks aligned with business strategy.
Connect business needs with tangible data solutions and identify relevant business insights.
Translate business problems into data-related or mathematical solutions and select appropriate methods and tools.
Create graphical representations of data and model outcomes that meet customer requirements, and collaborate with user experience designers and user interface engineers as needed.
Present insights to teams and business audiences, tailor communication to stakeholders, and mentor junior associates on data storytelling and visualization techniques.
Promote data quality awareness; profile, analyze, assess, test, and validate data quality; and continuously monitor quality metrics and service-level agreements.
Manage data quality procedures and issues, lead data cleansing activities, and improve data quality by removing defects and unused data.
Determine user accessibility and remove or restrict access as needed.
Interpret company and regulatory data policies and educate others on data governance processes and guidelines.
Collect and tabulate data, evaluate accuracy and applicability, apply appropriate statistical techniques, and conduct exploratory data analysis.
Write queries and analyze data to identify patterns, trends, outliers, and correlations; conduct statistical analyses and build basic statistical models.
Provide expert advice and guidance, support business solutions, build stakeholder partnerships, monitor results, and identify improvement opportunities.
Model compliance with company policies, ethics, and values; foster inclusion and belonging; develop talent through feedback and coaching; collaborate across teams; and put customers and members first.

Benefits

Medical, vision, and dental coverage.
401(k), stock purchase, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts and Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes.
Live Better U, a Walmart-paid education benefit program for eligible full-time and part-time associates, covering tuition, books, and fees for programs ranging from high school completion to bachelor's degrees and certificates.
Performance-based bonus awards and additional annual or quarterly performance bonuses.
Stock may be included as additional compensation for certain positions.