Senior Data Analyst

Walmart•Bentonville, AR
•$93,434 - $155,000

About The Position

The Senior Data Analyst analyzes and interprets information for one or more initiative work streams to improve business efficiency, develop solutions that reduce costs or meet business goals, and ensure data accuracy. The position may develop and direct cross-functional project work streams, including defining scope, organizing timelines and deliverables, facilitating project meetings, taking corrective action, and reporting results to supervisors and stakeholders. The role collaborates with internal and external stakeholders to explain data analysis and research findings, and develops decision-support tools and business cases by identifying required information, meeting customer needs, and analyzing business impact. In the absence of the Project Manager III, Innovation, the Senior Data Analyst assumes specified project management duties, including attending meetings, working with project members, conducting analyses, providing guidance on logistical issues, and prioritizing issues for escalation. The position applies analytical expertise and best practices to action plans, supports business solutions and stakeholder partnerships, monitors progress, identifies improvement opportunities, and adapts to changing demands. It also models compliance with company policies, procedures, mission, values, ethics, and integrity.

Requirements

  • Bachelor’s degree or equivalent in Computer Science or a related field.
  • At least 2 years of experience in data analytics or a related field; the employer will accept any amount of experience with the listed required skills.
  • Experience performing exploratory time-series data analysis using Python, SQL, and Tableau.
  • Experience with feature engineering using Python and SQL to derive insights.
  • Experience visualizing time-series data for performance analysis using Tableau or Power BI.
  • Experience writing complex SQL queries, including window functions, procedural language, and common table expressions.
  • Experience creating forecasting metrics using statistical methods such as SMAPE, BIAS, and MAE.
  • Experience manipulating data with SQL to prepare input data.
  • Experience developing data extraction, transformation, and analytics pipelines using PySpark.
  • Experience using GitHub for collaborative project management and creating pull requests.
  • Experience building efficient and scalable data pipelines using Python and SQL.
  • Experience investigating data using machine-learning Python libraries such as Pandas, Scikit-learn, and NumPy.

Responsibilities

  • Analyze and interpret information for initiative work streams to improve business efficiency, reduce costs, and meet business goals while ensuring data accuracy.
  • Develop and direct cross-functional project work streams by clarifying scope, organizing timelines and deliverables, facilitating meetings, taking corrective action, and reporting results.
  • Collaborate with internal and external stakeholders to communicate data analysis and research findings.
  • Develop decision-support tools and business cases by summarizing required information, determining reporting needs, addressing customer needs, and analyzing business impact.
  • Assume specified duties of the Project Manager III, Innovation in that person's absence, including attending meetings, working with project teams, performing analyses, advising on logistical issues, and identifying issues for escalation.
  • Apply current expertise and best practices to develop, execute, and improve action plans; advise others and support customer and business needs.
  • Build stakeholder relationships and partnerships, identify business needs, carry out necessary processes, monitor results, identify improvement opportunities, and adapt to competing demands and organizational changes.
  • Model and support compliance with company policies, procedures, mission, values, ethics, and integrity.

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 leave, 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.
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