Senior Data Analyst

Walmart • Bentonville, AR

10d

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 tangible solutions. The role identifies relevant business insights, supports prioritization of requirements and service-level agreements, identifies appropriate data sources, and performs initial data quality checks on extracted data.

The analyst develops data visualizations and graphical representations of data and model outcomes, designs data representations for multiple datasets based on customer requirements, and collaborates with user experience designers and user interface engineers on front-end applications as needed. The role presents findings to teams and business audiences, adapts communication to stakeholders, and uses appropriate visualization frameworks to convey clear messages.

The position profiles, analyzes, tests, validates, measures, and monitors data quality; manages data quality procedures and service-level agreements; and leads data cleansing to address defects and improve data quality. It also manages user accessibility, interprets company and regulatory data policies, and educates others about data governance practices and guidelines.

The analyst collects and tabulates data, evaluates results for accuracy and applicability, supports the selection and application of statistical techniques, and assists with planning, designing, and implementing exploratory data analysis research projects. The position uses relevant data discovery tools, applications, scripting languages, and statistical methods.

Requirements

• Master’s degree or equivalent in Business, Analytics, Engineering, Computer Science, or a related field; or 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, viewing 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 eliciting information from business partners.
• 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.
• The 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 overall 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.
• Collaborate with UX designers and UI engineers as needed to build front-end applications.
• Present findings to team and business audiences using appropriate visualization frameworks; adapt communication to stakeholders.
• Profile, analyze, assess, test, and validate data quality requirements; continuously measure and monitor data quality.
• 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 data quality, and eliminate unused data.
• Determine user accessibility and remove or restrict user 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 identification and application of statistical techniques based on requirements, applying suitable techniques under leadership direction.
• Assist in planning, designing, and implementing exploratory data analysis research projects.

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 time.
• Short-term and long-term disability.
• Education assistance, including company-paid college degrees.
• Company discounts, military service pay, and adoption expense reimbursement.
• Annual or quarterly performance incentives.

What This Job Offers

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