Senior Data Analyst

Walmart•Bentonville, AR

11d

About The Position

The Senior Data Analyst develops project business cases 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, finds fit-for-purpose data sources, and performs initial data-quality checks. The position develops visual representations of data and model outcomes, applies visualization guidelines and tools, and designs data representations based on customer needs. It works with User Experience designers and User Interface engineers when needed to build front-end applications, and presents findings to teams and business stakeholders using appropriate frameworks and communication approaches. The analyst profiles and assesses data quality, validates and monitors requirements, manages data-quality procedures and issues, and leads cleansing activities. The role also determines user accessibility, applies company and regulatory data policies, and educates others about data-governance processes and guidelines. The position supports exploratory data analysis, including collecting and tabulating data, evaluating accuracy and applicability, selecting statistical techniques under leadership direction, and assisting with the planning, design, and implementation of exploratory research projects. The job is located at 811 Excellence Dr., Bentonville, AR 72716.

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 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 eliciting information from business partners.
Experience with data extraction and transformation, dashboard generation, collaboration and solution development, user access permissions, querying and analysis, and data governance.
Experience with row-level security in reports, SQL stored-procedure development and optimization, SSRS reporting, SSIS ETL with Visual Studio, Power Query, and Power Automate.
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 and recommend relevant business insights.
Support prioritization of requirements and service-level agreements and help identify fit-for-purpose data sources.
Perform initial data-quality checks on extracted data.
Apply visualization guidelines and tools to generate graphical representations of data and model outcomes.
Understand customer requirements and design appropriate representations for multiple data sets.
Work with User Experience designers and User Interface engineers as required to build front-end applications.
Present data insights to teams and business audiences using appropriate visualization frameworks and stakeholder-aware communication.
Profile, analyze, and assess data quality; 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 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 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.

Benefits

Performance-based incentive awards, including annual or quarterly performance incentives.
Medical, vision, and dental coverage.
401(k).
Stock purchase plan.
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.