Christian Organization Data Analytics Jobs (NOW HIRING)

Position Summary...What you'll do...

• Proven people management experience— a track record of hiring, developing, and retaining high-performing analytics talent (3+ years managing teams)
• Technical depth in SQL and BI tools— the ability to guide and review complex analytical work and set standards for data quality and visualization (6+ years)
• Strategic business acumen— the ability to connect analytics to business outcomes, particularly within Supply Chain, Last Mile Delivery, eCommerce, or Parcel Operations
• Executive presence and communication skills— experience presenting to and influencing Director and VP-level stakeholders across Operations, Finance, and Product
• Analytical leadership at scale— experience managing an analytics roadmap and balancing short-term operational needs with long-term capability building

• Lead and develop a teamof Data Analysts and BI developers — fostering a culture of excellence, intellectual curiosity, and continuous improvement; provide coaching, performance feedback, and career development guidance
• Own the analytics roadmapfor Delivery Data & Analytics, aligning team priorities with strategic goals across ecommerce transportation Operations and Finance
• Drive strategic decision-makingby translating high-level business questions into analytical frameworks that deliver timely, accurate, and actionable insights
• Engage and influence senior stakeholders(Directors, VPs) across Operations, Finance, and Product — establishing credibility as a trusted analytics partner and communicating findings clearly and compellingly
• Oversee the design and governance of scalable data solutions— including ETL pipelines, centralized data tables, and reporting infrastructure — ensuring data integrity, accuracy, and latency standards are met
• Set standards for data visualization and self-service BI— ensuring Tableau dashboards and reporting tools effectively monitor KPIs, quantify the impact of operational changes, and empower users to make decisions independently
• Champion data quality and documentationacross multiple systems and operational domains; hold the team accountable to rigorous standards for data completeness and reliability
• Drive automation and efficiencyin reporting workflows, partnering with the team to leverage Python and other scripting tools for metrics prioritization, outlier detection, and reporting at scale
• Represent Decision Sciencesin cross-functional forums; contribute to the broader organizational data and analytics strategy and advocate for team resources and investment
• Recruit and scale the teamin alignment with business growth — identifying capability gaps and building a bench of analytical talent

• Option 1:Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Finance, or related field AND 5 years' experience in data analysis, data science, or related field, including at least 2 years in a people management or team lead capacity
• Option 2:Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, or Information Technology AND 3 years' experience in data analysis or data science, including at least 2 years in a people management or team lead capacity
• Option 3:7 years' experience in data analysis, data science, or related field, including at least 3 years in a people management or team lead capacity
• Advanced proficiency in SQL and at least one BI/visualization platform (Tableau preferred)

• Experience in ecommerce operations, parcel carrier operations, or last-mile delivery analytics
• Demonstrated experience building and scaling analytics teams and capabilities in a fast-paced, high-growth environment
• Proficiency in Python or other scripting languages for workflow automation and analysis
• Experience with data engineering concepts and pipeline development (ETL design, data modeling, data warehousing)
• Experience with data manipulation and preparation tools such as Knime, Alteryx, R, or Tableau Prep
• Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, or Information Technology
• Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (e.g., SQL, Python, Spark, Scala, R, Power BI, or Tableau)
• Strong executive communication and data storytelling skills with demonstrated ability to influence without authority

At Walmart, we offer competitive pay as well as performance-based bonus 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, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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.
The annual salary range for this position is $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field.
1 year's supervisory experience.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau), Supervisory experiencePrimary Location...802 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart 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.