Senior Manager, Data Analytics
Position Summary...
What you'll do...
Role summary:As Senior Manager, Data Analytics, you will lead the development and execution of advanced analytics strategies to drive data-informed business decisions. This role requires expertise in data sourcing, quality management, and visualization to translate complex data into actionable insights. You will collaborate across functions to align analytics initiatives with organizational goals, mentor team members, and promote continuous improvement through innovative tools and methodologies. Your leadership will ensure the delivery of high-impact solutions that enhance operational performance and support Walmart’s commitment to excellence and integrity.
About the team:
The Earnings Excellence Finance Data Analytics team functions as the operations analytics hub for Walmart’s EE Finance organization, enabling data-driven decisions across the network. The team delivers end-to-end visibility into Driver Earnings and Disbursements through actionable insights supporting compliance and regulatory needs. Key responsibilities include developing dashboards to monitor KPIs, providing advanced analytics and optimization support to finance and other functions, delivering ad-hoc analyses for leadership, and driving analytics for pilots and strategic initiatives. This team plays a critical role in guiding data-backed recommendations to support operational performance and future growth.
What you'll do:
· Lead analytics and reporting across Driver Earnings, Disbursements, Finance Operations, Tax, Controls, and Compliance
· Develop and standardize Metrics That Matter reporting for leadership, operations, compliance, and risk visibility.
· Support executive and operational reporting that shows what changed, why, and where actions needed.
· Lead data quality, governance, and metric standardization efforts.
· Turn unclear business problems into practical analytics solutions
· Lead and coordinate UAT for Spark Driver initiatives, partnering with business, product, and tech teams to align testing, track issues, and support
· Provide ad-hoc analysis and leadership-ready insights for incidents, escalations, and strategic initiatives
· Mentor team members and promote analytics best practices.
· Reduce manual reporting by automation, reusable data
What you'll bring:
· Experience in data analytics, business intelligence, finance, operations, or a related field.
· Strong SQL, Python, BigQuery, and dashboarding skills (Tableau or Power BI).
· Strong understanding of data quality, governance, and KPI standardization.
· Ability to turn business needs into scalable data and reporting solutions.
· Comfort working through ambiguity and defining analytics problems.
· Experience building dashboards and insights for leadership, operations, compliance, or risk visibility.
· Strong communication and data storytelling skills.
· Ability to partner across teams and influence stakeholders.
· Experience mentoring analysts or guiding teams on analytics best practices.
· Understanding of Walmart LMD Operations, Driver Earnings, Disbursements, or Finance Operations.
· Partnership across Finance, Operations, Product, Engineering, Tax, Controls, Compliance, and Regulatory teams.
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 :
- Stock
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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 experience