Senior Manager, Advanced Analytics
About The Position
The Senior Manager, Advanced Analytics develops data models and analytics solutions to drive business results and value. The role leads advanced analytics work to address business and technical problems, supports data-driven decision-making, and makes strategic recommendations to cross-functional leadership. It owns complex projects end-to-end, manages implementation risk, and works with senior leaders and business partners to understand goals and challenges, prioritize high-impact efforts, and contribute research-backed recommendations to strategic planning. The position develops and implements prototypes and production-ready complex algorithms, oversees testing and validation, and collaborates with analytics functions, functional leaders, cross-functional teams, external business partners, and vendors. It also drives the execution of multiple business plans and projects by setting priorities and performance standards, removing obstacles, providing resources, measuring progress, and adjusting plans as needed. This position does not supervise employees.
Requirements
- Master's degree or equivalent in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, Management Information Systems, or a related field, plus 2 years of experience in data analysis, data science, statistics, or a related field; OR a bachelor's degree or equivalent in one of those fields, plus 4 years of such experience.
- Experience using SQL for analytics, including joins, CTEs, window functions, and query optimization.
- Experience using Python and R for statistical analysis, including data wrangling, modeling, and reproducible notebooks or scripts.
- Experience with statistical modeling, including regression, classification, unsupervised learning, and diagnostics.
- Experience with measurement and attribution methodologies, including incrementality, MMM, and MTA.
- Experience with A/B testing and experimental design, including randomization, power calculation, and guardrails.
- Experience creating data visualizations and analytics storytelling using Tableau, Looker, Power BI, and Python visualization tools.
- Experience with data engineering fundamentals, including ETL, data quality checks, and scheduling.
- Experience with metric definition and KPI governance.
- Experience translating business problems into analytical requirements, including written specifications, hypothesis formulation, and analysis plans.
- Experience creating stakeholder-facing experiment and measurement readouts, including reviewing results decks and preparing recommendations.
- Employer will accept any amount of experience with the required skills.
Responsibilities
- Develop data models and analytical approaches for projects within a business area or category to drive business results and value.
- Collaborate with project teams to implement modeling solutions and evaluate new data analysis techniques for prototype development.
- Collaborate with cross-functional partners on prototypes and algorithms.
- Drive the development and execution of advanced analytics to solve unique business and technical problems and support data-driven decision-making.
- Make strategic recommendations to cross-functional leadership based on analysis results.
- Collaborate across analytics functions to develop and implement data analysis strategies and anticipate future trends and analysis needs.
- Own complex projects end-to-end for a business area, category, or prototype, and manage implementation risk.
- Drive execution of multiple business plans and projects by identifying needs, communicating plans and priorities, removing barriers, providing resources, setting performance standards, measuring and adjusting performance, developing contingency plans, and supporting continuous learning.
- Consult senior leadership and business partners to understand goals and functional objectives, identify business challenges, develop mitigation tactics, and establish potential success criteria.
- Prioritize efforts with the greatest business impact.
- Contribute to strategic planning with actionable recommendations and solutions based on advanced research and analytical findings.
- Help develop and implement prototypes and production-ready complex algorithms for complex projects.
- Manage testing and validation to monitor solutions.
- Collaborate with functional leadership and cross-functional teams on consultative solutions for complex projects.
- Partner with external business partners and vendors.
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 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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What This Job Offers
Job Type
Full-time
Career Level
Senior
