Senior Analytics Manager

Role overview

Team leadership and development

• Lead, mentor, and develop a team of one staff data scientist and two analysts.
• Provide technical guidance and hands-on support for high-stakes analytics and data science projects.
• Build the team's AI fluency and use Claude Code, Claude Cowork, and related tools to accelerate workflows.

Analytics and data science

• Own program analytics measuring curriculum performance and student success against DIBELS, iReady, STAR, and other benchmarks.
• Analyze intervention effectiveness and inform which interventions to develop.
• Own product analytics covering feature adoption, student engagement, and usage patterns.
• Help develop the experimentation platform and establish experimental design and analysis practices.
• Complete selected end-to-end analyses, prototypes, and high-priority ad hoc requests.

Program management and partnership

• Own sprint management, project execution, planning, delivery, and retrospectives for the Product & Program Analytics team.
• Partner with Product and Academics stakeholders to translate business and academic questions into analytical initiatives.
• Collaborate with the VP of Data & Analytics on the strategic roadmap, priorities, and timelines.
• Communicate analytical findings clearly to non-technical audiences.

Required qualifications

• 7–10 or more years of analytics and data science experience in ed-tech or another relevant technology industry.
• 2–4 or more years as a senior manager in a data analytics or data science function.
• Meaningful individual contributor experience in both analytics and data science.
• Experience managing and developing analysts or data scientists.
• High proficiency in SQL and Python, with experience using Tableau or comparable BI tools, dbt, and modern cloud data warehouses.
• Proficiency in statistical modeling, experimental design, and rigorous analytical methods.
• Hands-on experience building agentic workflows, Claude Skills, or LLM automations using Claude Code and Claude Cowork.
• Experience with Agile or sprint methodologies in an analytics context.
• Ability to communicate complex technical concepts as clear business actions and manage multiple workflows.

Preferred qualifications

• Background in curriculum analytics, learning science, or ed-tech product analytics.
• Experience with student, education, or learning data and familiarity with PII handling requirements.
• Experience applying experimentation methods and best practices.

Compensation

• The listed salary is $175,000.
• The compensation package also includes equity and employee benefits.

Benefits

• Benefits include medical, dental, and vision plans, short-term disability, a 401(k) contribution, paid parental leave, vacation, and paid holidays.
• Additional offerings include technology, wellness, and professional development stipends, life insurance, and employee stock options.

Workplace

• The organization is virtual, with headquarters in the California Bay Area.