Senior Data Analyst

Reposted Yesterday
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Bentonville, AR, USA
Hybrid
93K-155K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Analyzes and interprets data to improve business efficiency, reduce costs, and support strategic initiatives. Develops forecasting metrics, analytical tools, data pipelines, and business cases using Python, SQL, Tableau, Power BI, PySpark, and machine learning libraries. Leads cross-functional workstreams, coordinates project timelines, communicates findings to stakeholders, ensures data accuracy, and supports business solution implementation and continuous improvement.
Summary Generated by Built In

What you'll do...

Position: Senior Data Analyst 

 

Job Location: 811 Excellence Dr, Bentonville, AR 72716 

 

Duties: Analyzes and interprets information for one or more initiative work streams to improve business efficiency by using various analytical methodologies; developing creative solutions within business areas that reduce cost and/or meet business goals; using judgment to assign what activities must be done; and ensuring data accuracy. Develops and directs one or more work streams of a cross-functional project to achieve desired results by ensuring understanding of scope of work; organizing timelines and deliverables; facilitating meetings involving project teams to analyze, plan, and implement project initiatives; taking corrective action; and reporting results and deliverables to supervisors and stakeholders. Collaborates cross-functionally on assignments with internal and external stakeholders to understand the results of data analyses and research by communicating results and findings. Develops tools that support decision making and business cases by summarizing needed information; determining what information must be reported; ensuring customer needs are met; and analyzing an initiative's impact to the business. Assumes duties of Project Manager III, Innovation in the absence of the Project Manager III, Innovation by attending meetings; working directly with the project team members on specific projects and analyses; performing analyses; providing directional advice and guidance related to defined logistical issues; and determining which issues should be elevated to a higher priority. Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others in the application of information and best practices; supporting and aligning efforts to meet customer and business needs; and building commitment for perspectives and rationales. Provides and supports the implementation of business solutions by building relationships and partnerships with key stakeholders; identifying business needs; determining and carrying out necessary processes and practices; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and adapting to competing demands, organizational changes, and new responsibilities. Models’ compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by incorporating these into the development and implementation of business plans; using the Open Door Policy; and demonstrating and assisting others with how to apply these in executing business processes and practices. 

 

Minimum education and experience required: Bachelor’s degree or the equivalent in Computer Science or a related field plus 2 years of experience in data analytics or a related field. 

 

Skills required: Must have experience with: Performing exploratory data analysis on time series using Python/SQL Tableau; Performing feature engineering using Python/SQL for deriving insights; Visualizing time series data for performance analysis using Tableau or Power BI; SQL for developing complex queries including window functions, procedural language, and common table expressions; Creating forecasting metrics using statistical methods (SMAPE, BIAS, MAE etc.); Conducting data manipulation using SQL to prepare input data; Developing data extraction, transformation and analytics pipelines using PySpark; Utilizing GitHub for collaborative project management and creating pull requests; Building data pipelines using Python/SQL for efficient and scalable data; Investigating data using Machine Learning Python Libraries (Pandas, Scikit Learn, NumPy etc.). Employer will accept any amount of experience with the required skills. 

 

Rate of pay:  $93,434.00 - 155,000.00/year.  Additional compensation includes annual or quarterly performance incentives.    

 

Benefits: At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting. Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.   

  

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart.com.  

  

Wal-Mart is an Equal Opportunity Employer.

Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills Required

  • Bachelor's degree or equivalent in Computer Science or a related field
  • Two years of experience in data analytics or a related field
  • Experience performing exploratory time-series data analysis using Python, SQL, and Tableau
  • Experience performing feature engineering using Python and SQL
  • Experience visualizing time-series data using Tableau or Power BI
  • Experience developing complex SQL queries using 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 pull requests
  • Experience building efficient and scalable data pipelines using Python and SQL
  • Experience investigating data using Python machine learning libraries, including Pandas, Scikit-learn, and NumPy

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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