Senior Data Analyst

Walmart•Bentonville, AR
•$96,616 - $155,000•Onsite

About The Position

The Senior Data Analyst identifies suitable, fit-for-purpose data sources and performs initial quality checks on extracted data. The role applies data strategy principles to routine business problems, including data management, quality standards, governance, accessibility, storage, and scalability, and helps identify how data assets can create business value. The analyst interprets business context and requirements, develops recommendations and business cases for complex issues, and translates business needs into projects and actionable tasks aligned with strategy. The role connects business needs with data or mathematical solutions by formulating problems and selecting appropriate analytical methods and tools. The position also generates and communicates visual representations of data and model outcomes, designs representations for multiple datasets, and may work with user experience designers and user interface engineers on front-end applications. The analyst presents findings to business audiences and adapts communication to stakeholders. The job is located at 811 Excellence Dr, Bentonville, AR 72716. Pay is $96,616.00–$155,000.00 per year, with additional annual or quarterly performance incentives.

Requirements

  • Master’s degree or equivalent in Information Technology and Management, Engineering (any), or a related field; OR bachelor’s degree or equivalent in one of those fields and 2 years of experience in data analytics or a related field.
  • Experience cleaning data and performing deep-dive analytics to tell a story using Google Cloud Platform.
  • Experience creating dashboards for reporting and visualization using Tableau.
  • Experience performing regression and creating bar plots using statistical analysis with R.
  • Experience organizing projects using waterfall or agile methodologies and project management.
  • Experience using SQL to extract data from databases and analyze data using SSMS.
  • Experience using relational databases to interact with data, including creating, updating, traversing, and merging data.
  • Experience creating schedulers to automate tasks, including sending emails and project tracking, using Microsoft Power Automate.
  • Experience cleaning data and exporting it into SSMS using Python.
  • Experience reporting data, formatting, implementing calculated fields, performing VLOOKUP, and using macros in Excel.
  • Experience creating ETL processes to automate data fetching, transformation, and conversion into usable tables.
  • The employer will accept any amount of experience with the required skills.

Responsibilities

  • Identify business data sources, requirements, data categories, database technologies, data quality issues, business systems, processes, drivers, and success measures.
  • Help prioritize requirements and service-level agreements, identify suitable data sources, and perform initial quality checks on extracted data.
  • Apply data strategy principles and understand the business value of data and data-enabled insights and decisions.
  • Provide recommendations to business stakeholders on complex business issues and develop project business cases 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 practical solutions and results, and identify relevant business insights.
  • Translate or co-own business problems within the discipline into data-related or mathematical solutions, select appropriate methods and tools, and explain their application through use cases.
  • Create graphical representations of data and model outcomes, and design data representations for multiple datasets based on customer requirements.
  • Work with user experience designers and user interface engineers as needed to build front-end applications.
  • Present and communicate insights to teams and business audiences using appropriate visualization frameworks and stakeholder-focused communication.

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.
  • Performance-based incentive awards, including annual or quarterly performance incentives.
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