Senior Manager, Advanced Analytics

Description

The role is Senior Manager, Advanced Analytics, based at 850 Cherry Avenue, San Bruno, CA 94066.

The position does not supervise employees.

Responsibilities

• Build data models, including algorithms and approaches, for analytics projects within a business area or category, aimed at producing business results and value.
• Work with the project team to put modeling solutions into practice.
• Test new data analysis techniques that can support prototype development.
• Work with cross-functional partners on prototypes and algorithms.
• Lead the creation and rollout of advanced analytics that tackle unusual business and technical problems and help teams make decisions based on data.
• Give senior cross-functional leaders strategic recommendations drawn from analysis results.
• Work with all analytics functions to design and carry out data analysis strategies and to predict future trends and analysis needs.
• Take full ownership of complex projects from start to finish for a business area, category, or prototype, including managing the risk of implementation.
• Lead several business plans and projects at once: find customer and operational needs, write and share plans and priorities, clear obstacles that hurt performance, allocate resources, set performance standards, track progress and adjust, build contingency plans, and adapt while continuing to learn.
• Advise senior leaders and business partners on overall goals and functional objectives, pin down key business challenges, choose tactics to anticipate and reduce those challenges or issues, and set potential success criteria.
• Direct effort toward the work with the greatest impact on the business.
• Support business area strategic planning by offering senior leaders input, practical recommendations, and solutions grounded in advanced research and analysis.
• Help build and launch production-ready complex algorithms and prototypes for complex projects.
• Run testing and validation to monitor the solution.
• Work with functional leaders and cross-functional teams to create consultative solutions for complex projects in a business area, category, or prototype.
• Collaborate and partner with external business partners and vendors.

Requirements

• Either a Master's degree or equivalent in Business, any Engineering field, Statistics, Economics, any Analytics field, 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 the same 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 methods, including incrementality, MMM, and MTA.
• Experience with A/B testing and experimental design, including randomization, power calculation, and guardrails.
• Experience building data visualizations and analytics storytelling with Tableau, Looker, Power BI, and Python visualization libraries.
• Experience with data engineering fundamentals, including ETL, data quality checks, and scheduling.
• Experience with metric definition and KPI governance.
• Experience turning business problems into analytical requirements, including written specs, hypothesis formulation, and analysis plans.
• Experience presenting experiment and measurement readouts to stakeholders, including reviewing decks with results and preparing recommendations.
• The employer will accept any amount of experience with the required skills.

Conditions

Salary range is $174,512/year to $234,000/year.

Additional compensation includes annual or quarterly performance incentives.

Eligibility for some benefits may depend on job classification and length of employment, and benefits may be subject to change or to plan or program terms. Details are on the company's site.

The company is an Equal Opportunity Employer.

The company maintains a drug-free workplace with a zero-tolerance policy on illegal drugs and alcohol on the job, applying to all employees.

Benefits

• Competitive pay plus performance-based incentive awards.
• Health coverage: medical, vision, and dental.
• Financial benefits: 401(k), stock purchase, and company-paid life insurance.
• Paid time off: PTO including sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability coverage.
• Education assistance with 100% company-paid college degrees.
• Company discounts, military service pay, and adoption expense reimbursement.