Senior Manager, Advanced Analytics
About The Position
Develop data models and analytical approaches for projects within a business area or category to drive business results and value. Work with project teams and cross-functional partners to develop, implement, test, and validate prototypes, production-ready algorithms, and advanced analytics solutions for complex business and technical problems. Use analytical findings to support data-driven decisions and make strategic recommendations to leadership. Own complex projects end-to-end, manage implementation risk, and collaborate with internal and external partners. This position does not supervise employees. The role also involves driving multiple business plans and projects, identifying customer and operational needs, communicating priorities, removing performance barriers, providing resources, measuring progress, and adapting plans as needed. Consult senior leaders and business partners to understand objectives and challenges, identify ways to anticipate and mitigate issues, and establish success criteria. Contribute actionable recommendations to strategic planning based on research and analytical findings.
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 bachelor's degree or equivalent in one of those fields, plus 4 years of experience in data analysis, data science, statistics, or a related field.
- 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 presentations and preparing recommendations.
- The employer will accept any amount of experience with the required skills.
Responsibilities
- Develop data models and analytical approaches for business-area or category projects to drive business results and value.
- Collaborate with project teams to implement modeling solutions and evaluate new analysis techniques for prototype development.
- Work with cross-functional partners on prototypes, algorithms, data analysis strategies, and anticipated trends.
- Drive advanced analytics development and execution to address complex business and technical problems and support data-driven decision-making.
- Make strategic recommendations to cross-functional leadership based on analytical results.
- Own complex projects end-to-end for a business area, category, or prototype, and manage implementation risks.
- Drive the execution of multiple business plans and projects by identifying customer and operational needs, communicating plans and priorities, removing barriers, providing resources, establishing performance standards, measuring progress, adjusting performance, developing contingency plans, and supporting continuous learning.
- Consult senior leadership and business partners to understand goals and objectives, identify business challenges, anticipate and mitigate issues, and develop success criteria.
- Focus work on activities with maximum business impact and contribute actionable research- and analysis-based recommendations to strategic planning.
- Help develop and implement prototypes and production-ready complex algorithms.
- Manage solution testing and validation.
- Develop consultative solutions for complex projects in collaboration with functional leadership and cross-functional teams.
- 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 company-paid college degrees.
- Company discounts.
- Military service pay.
- Adoption expense reimbursement.
- Performance-based incentive awards, including annual or quarterly incentives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
