Senior Manager, Advanced Analytics

Walmart•Bentonville, AR

7d•Onsite

About The Position

The Senior Manager, Advanced Analytics owns complex projects end-to-end for a business area, category, or prototype, and manages implementation risks. The role consults with senior leaders and business partners to understand goals, identify business challenges, determine tactics and success criteria, and provide strategic recommendations based on advanced research and analytical findings. The position develops data models and complex algorithms, oversees prototype development and implementation, and manages testing and validation. It leads advanced analytics and data analysis strategies to address business and technical problems, inform decision-making, and anticipate trends. It also works with functional leaders, cross-functional teams, external business partners, and vendors to deliver consultative solutions. The role builds and leads a team, coaches and mentors associates and managers, supports performance and career development, and maintains team motivation and engagement.

Requirements

Master’s degree or equivalent in Business, Finance, Accounting, or a related field plus 2 years of experience in data analytics or related experience; or a bachelor’s degree or equivalent in one of those fields plus 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 with growth strategy development and market assessment frameworks.
Written communication and presentation skills, including synthesizing qualitative and quantitative findings into leadership-level presentations.
Experience using Excel to structure and analyze large quantities of data.
Experience conducting structured, time-bound competitive and market research using 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.

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, identify business challenges, develop tactics and success criteria, and focus on high-impact business needs.
Contribute to strategic planning by providing actionable recommendations and solutions based on advanced research and analytical findings.
Develop data models and algorithms for complex projects and collaborate with project teams to implement modeling solutions.
Manage development and implementation of prototypes and production-ready algorithms, including testing and validation.
Evaluate new data analysis techniques and collaborate with cross-functional partners on prototypes and algorithms.
Lead 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.
Partner 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 team members, provide feedback, conduct performance and career development conversations when applicable, and maintain motivation and engagement.
Mentor less experienced associates and managers.