Manager, Advanced Analytics

Reposted Yesterday
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Bentonville, AR, USA
Hybrid
144K-155K Annually
Mid level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Leads advanced analytics projects, develops machine learning models and prototypes, performs statistical analysis, builds dashboards and reporting pipelines, and provides data-driven recommendations to business leaders. Manages stakeholder relationships, oversees testing and validation, and leads, mentors, and develops an analytics team. Requires expertise in SQL, Python, R, business intelligence tools, experimentation, feature engineering, model evaluation, and root cause analysis.
Summary Generated by Built In

What you'll do...

 

Position: Manager, Advanced Analytics 

 

Job Location: 811 Excellence Dr, Bentonville, AR 72716 

 

Duties: Project Scope: Responsible for workstreams and individual projects end-to-end for a business area, category or prototype. Manages risk associated with implementation. Coordinates, completes, and oversees job-related activities and assignments by developing and maintaining relationships with key stakeholders; supporting plans and initiatives to meet customer and business needs; identifying and communicating goals and objectives; building accountability for and measuring progress in achieving results; identifying and addressing improvement opportunities; and demonstrating adaptability and promoting continuous learning. Business Partnerships: Works with leadership/business partners (e.g., Directors) to discuss and understand goals/functional objectives and key business challenges to develop hypotheses around current and future business issues; identifies functional analytics and research objectives and develops tactical research plans. Provides guidance to Directors and advises on next steps based on insights objectives and research. Presents actionable recommendations to Directors to inform strategic and tactical functional initiatives. Provides and supports the implementation of business solutions by building relationships and partnerships with leadership and other key stakeholders. Provides supervision and development opportunities for associates by hiring and training; mentoring; assigning duties; providing recognition; and ensuring diversity awareness. Model Development: Develops data models (algorithms, approaches) for workstreams and individual projects within a business area or category to drive business results and value. Collaborates with project team to implement modeling solutions. Ensures compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity by implementing related action plans; utilizing and supporting the Open Door Policy; and providing direction and guidance on applying these in executing business processes and practices. Proof of Concept and Prototype: Manages the development and implementation of prototypes and production-ready complex algorithms for workstreams and individual projects. Manages the testing and validation process to monitor the solution. Collaborates with Advanced Analytics Experts to develop new data analysis techniques. Data Collection and Analysis: Addresses complex business problems by applying advanced analytics to drive data-driven decision making. Makes strategic recommendations to team based on data analysis. Manages and executes data analysis strategy, providing guidance to less experienced team members. Collaboration: Collaborates with functional leadership and cross-functional teams (e.g., Categories, Customer Experience, Merchandising) to develop consultative solutions for workstreams and individual projects for a business area, category or prototype. Interfaces with external business partners and vendors. People Development: Builds and leads a team to execute on business area or category objectives. Coaches team members and provides feedback to enhance skills, knowledge and work performance. Conducts performance and career development conversations, if applicable. Maintains team motivation and engagement. Mentors less experienced associates. 

 

Minimum education and experience required: Bachelor’s degree or the equivalent in Business, Accounting, Statistics, or a related field plus 2 years of experience in data analytics or related experience; OR 4 years of experience in data analytics or related experience. 

 

Skills Required: Must have experience with: Data analysis using SQL across large relational databases. Statistical analysis and data manipulation using Python (pandas, numpy, scikit-learn). Development of business intelligence dashboards using Power BI, Tableau, Looker and QuickSight. Designing and automation of recurring analytical reporting pipelines to monitor key performance indicators and operational metrics. Machine Learning model developments using Python packages. Translating business questions into structured analytical tasks and documented deliverables. Performing statistical analysis, including Hypothesis Testing and A/B testing framework using R. Feature Engineering and Model Performance Evaluation. Root Cause Analysis Using Structured Analytical Methodologies. Agile Project Management on JIRA. Employer will accept any amount of experience with the required skills. 

 

 Rate of pay: $144,040.00 - 155,000.00/year 

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 Business, Accounting, Statistics, or a related field, plus 2 years of data analytics or related experience
  • Alternatively, 4 years of data analytics or related experience
  • Data analysis using SQL across large relational databases
  • Statistical analysis and data manipulation using Python, including pandas, NumPy, and scikit-learn
  • Development of business intelligence dashboards using Power BI, Tableau, Looker, and QuickSight
  • Design and automation of recurring analytical reporting pipelines for KPIs and operational metrics
  • Machine learning model development using Python packages
  • Translating business questions into structured analytical tasks and documented deliverables
  • Statistical analysis, including hypothesis testing and A/B testing frameworks, using R
  • Feature engineering and model performance evaluation
  • Root cause analysis using structured analytical methodologies
  • Agile project management using JIRA

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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