Senior Data Analyst

Walmart • Bentonville, AR

11d • $110,302 - $155,000 • Onsite

About The Position

The Senior Data Analyst develops business cases for projects with projected return on investment or cost savings, translates business requirements into projects and tasks aligned with business strategy, and connects business needs with practical solutions. The role identifies relevant business insights, helps prioritize requirements and service-level agreements, identifies fit-for-purpose data sources, and performs initial data quality checks.

The analyst creates visual representations of data and model outcomes, designs data presentations for multiple datasets, and presents findings to teams and business stakeholders. The role profiles, analyzes, validates, and monitors data quality; manages data quality procedures and service-level agreements; leads cleansing activities; and addresses data access and governance in accordance with company and regulatory policies. The analyst also supports exploratory data analysis research by collecting and tabulating data, evaluating accuracy and applicability, selecting statistical techniques under leadership direction, and assisting with research project planning, design, and implementation.

Requirements

• Master’s degree or equivalent in Business, Analytics, Engineering, Computer Science, or a related field; alternatively, a bachelor’s degree or equivalent in one of these fields plus 2 years of experience in data analysis, data science, statistics, or a related field.
• Experience building data quality assessment frameworks and measuring critical data elements against data quality standards and acceptable thresholds.
• Experience developing data profiling solutions, running analysis jobs and reviewing results, and creating and managing data quality controls using data quality tools.
• Knowledge of data quality concepts and practices for profiling, quantifying, and managing data quality.
• Experience describing business rules and defining detailed business-rule logic by asking business partners appropriate questions.
• Experience with data extraction and transformation, dashboard generation, collaboration and solution development, user access permissions, querying and analysis, data governance, and row-level security in reports.
• Experience with SQL stored procedure development and optimization, SSRS reporting processes, SSIS ETL with Visual Studio, Power Query, and Power Automate.
• Experience with relevant data visualization tools and libraries, such as Python, R libraries, GGplot, Matplotlib, Plotly, Tableau, or Power BI.
• Knowledge of statistical techniques such as mean, mode, median, variance, standard deviation, correlation, sorting, and grouping.
• Knowledge of relevant Knowledge Discovery in Data tools, applications, or scripting languages, such as SQL, Oracle, Apache Mahout, MS Excel, Python, DB, or SAS.
• Employer will accept any amount of experience with the required skills.

Responsibilities

• Develop business cases for projects with projected return on investment or cost savings.
• Translate business requirements into projects, activities, and tasks aligned with business strategy, and develop domain-specific artifacts.
• Connect business needs with tangible solutions and results; identify relevant business insights.
• Support prioritization of requirements and service-level agreements.
• Identify suitable data sources and perform initial data quality checks on extracted data.
• Generate graphical representations of data and model outcomes, and design data representations for multiple datasets based on customer requirements.
• Present findings to teams and business audiences using appropriate visualization frameworks and clear messaging; adapt communication style to stakeholders.
• Profile, analyze, assess, test, validate, measure, and monitor data quality requirements.
• Deliver against data quality service-level agreements and manage operational data quality procedures.
• Manage data quality issues and lead data cleansing activities to remove defects, improve quality, and eliminate 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, practices, policies, and guidelines.
• Collect and tabulate data and evaluate results for accuracy, validity, and applicability.
• Support the identification and application of statistical techniques based on requirements, and apply suitable techniques under leadership direction.
• Assist in planning, designing, and implementing exploratory data analysis research projects.
• Work with User Experience designers and User Interface engineers as needed to build front-end applications.

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.
• Education assistance, including 100% company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Annual or quarterly performance incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior