Senior Manager, Advanced Analytics

Walmart•Bentonville, AR
•$156,915 - $180,000•Onsite

About The Position

The Senior Manager, Advanced Analytics owns complex projects end-to-end for a business area, category, or prototype, including managing implementation risks. The role partners with senior leaders and business partners to understand goals, identify challenges, develop success criteria, and provide strategic recommendations based on advanced research and analytical findings. The position develops data models and manages the creation, implementation, testing, and validation of prototypes and production-ready algorithms. It leads advanced analytics to address business and technical problems, support data-driven decision-making, and inform strategic recommendations. The role collaborates with analytics, software engineering, category management, customer experience, merchandising, external business partners, and vendors. The role also builds and leads a team, coaches and mentors associates and managers, conducts performance and career development conversations where applicable, and maintains team motivation and engagement. The position is based at 811 Excellence Dr, Bentonville, AR 72716. Pay is $156,915 to $180,000 per year, with additional annual or quarterly performance incentives.

Requirements

  • Master’s degree or equivalent in Business, Finance, Accounting, or a related field and 2 years of experience in data analytics or related experience; alternatively, a bachelor’s degree or equivalent in one of these fields and 4 years of experience in data analytics or related experience.
  • Experience with strategic positioning, strategic marketing, value-based pricing, product marketing, and new product or innovation strategy.
  • Project management experience.
  • Ability to convey complex business issues clearly, concisely, and impactfully.
  • Experience with storyboarding, advanced PowerPoint slide building, and Excel modeling.
  • Experience developing growth strategies and using market assessment frameworks.
  • Written communication and presentation skills, including synthesizing qualitative and quantitative findings into leadership-level presentations.
  • Experience structuring and analyzing large quantities of data in Excel.
  • Experience conducting structured, time-bound competitive and market research, including use of major market research sources and databases.
  • Data analysis and modeling experience using MS Excel and SQL.
  • Advanced MS Excel skills, including Pivot Tables and VBA.
  • Experience creating and delivering strategic presentations for senior executives and translating complex data analyses into clear, actionable insights.
  • Experience with strategic management of business initiatives, including acquisitions, joint ventures, and partnerships for technology acquisitions.
  • Experience synthesizing business insights using research methods including subject matter interviews, interview transcript data analysis, and surveys.
  • The employer will accept any amount of experience with the required skills.

Responsibilities

  • Own complex projects end-to-end for a business area, category, or prototype and manage implementation risks.
  • Consult with senior leadership and business partners to understand goals and objectives, identify business challenges, anticipate and mitigate issues, and develop potential success criteria.
  • Prioritize work with the greatest business impact and contribute actionable recommendations and solutions to strategic planning based on research and analytics.
  • Develop data models, algorithms, and approaches for complex projects and collaborate with project teams to implement modeling solutions.
  • Manage the development and implementation of prototypes and production-ready complex algorithms, including testing and validation.
  • Evaluate new data analysis techniques to support prototype development and collaborate with cross-functional partners on prototypes and algorithms.
  • Lead the development and execution of advanced analytics to address business and technical problems and support data-driven decision-making.
  • Make strategic recommendations to cross-functional leadership based on analysis results and collaborate across analytics functions on data analysis strategies and anticipated trends.
  • Collaborate with functional leadership, cross-functional teams, external business partners, and vendors to develop consultative solutions.
  • Build and lead a team to execute business-area or category objectives; coach, provide feedback, and support team members’ skills and performance.
  • Conduct performance and career development conversations when applicable, maintain team motivation and engagement, and mentor less experienced associates and managers.

Benefits

  • Medical, vision, and dental coverage.
  • 401(k).
  • Stock purchase plan.
  • Company-paid life insurance.
  • Paid time off, including sick leave.
  • Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
  • Short-term and long-term disability.
  • Education assistance, including 100% company-paid college degrees.
  • Company discounts.
  • Military service pay.
  • Adoption expense reimbursement.
  • Performance-based incentive awards, including annual or quarterly performance incentives.
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