Operational Metrics Strategy: Define, socialize, and manage key performance indicators (KPIs) aligned with the Annual Operating Plan. Develop roadmaps to achieve metric goals and present progress to senior leadership in recurring forums.
Executional Insights & Partner Performance: Translate operational insights into actions that improve delivery reliability and partner accountability. Lead performance improvement initiates across service providers. Support vendor reviews and expansion planning with data-backed recommendations.
Cross-Functional Collaboration: Partner with Analytics, Data Science, and Operations teams to ensure data accuracy, alignment, and visibility across the organization. Collaborate with Finance to ensure strategic alignment and reporting consistency.
Business Insights & Storytelling: Translate complex data into actionable insights and executive-level narratives. Build compelling presentations and dashboards that influence strategic decisions.
Data Visualization & Reporting: Design and implement intuitive visualizations and reporting tools to monitor performance and identify opportunities for improvement.
Experimentation & Optimization: Lead experimentation initiatives to test hypotheses, measure impact, and optimize delivery operations.
Stakeholder Engagement: Influence without authority by driving metric adoption and accountability across diverse teams.
What you'll bring...
4+ years of experience in data analytics, operations strategy, or related fields, with a proven track record of driving measurable impact in complex environments
Advanced proficiency in SQL and Python, with working knowledge of data platforms such as BigQuery, GCP, or Snowflake
Strong statistical foundation, including hypothesis testing, predictive modeling, and experimentation design
Experience with BI tools such as Tableau, Power BI, or Looker, and the ability to build intuitive dashboards for diverse audiences
Strategic business acumen, with the ability to translate data into insights that inform operational decisions, partner performance, and scaling strategies
Experience in logistics, transportation, or autonomous delivery strongly preferred
Exceptional communication and storytelling skills, tailored to both technical and executive audiences
Proven ability to lead cross-functional initiatives, influence without authority, and drive alignment across analytics, operations, and product teams
Comfort with ambiguity and fast-paced environments, with a bias toward action and continuous improvement
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 $80,000.00-$155,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
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 2 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. Option 3: 4 years' experience in data analysis, data science, statistics, or related field.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)