Manager, Data Analytics

What you’ll do

Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table
You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
You are kind, humble, helpful and enjoy getting stuff done.
You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.