Data Scientist at Assembly building and automating media intelligence models. Collaborating with consultancy leadership to define analytical approaches to business challenges.
About the role
- Head of Analytics leading company's analytics function in a B2C AI education company. Focused on data-driven decision-making and collaboration with Product, Marketing, and Engineering teams.
Responsibilities
- Own the company’s analytics strategy- define core metrics, KPIs, and how success is measured across Product, Growth, and Marketing.
- Lead full-funnel analysis- connect acquisition, activation, retention, and monetization to understand and optimize long-term user value
- Act as the primary data partner to leadership and teams- work closely with Product, Marketing, and Engineering to shape decisions and priorities
- Link marketing spend to revenue outcomes and ROI, and drive data-backed decisions on budget allocation across campaigns and channels.
- Build and standardize dashboards and reporting that drive clarity, alignment, and adoption across the company
- Lead experimentation and growth analysis- define frameworks for A/B testing, evaluate performance, and guide decision-making
- Own data quality and trust- ensure consistency across tools, identify gaps, and improve tracking and measurement
- Use AI-powered tools to enhance data analysis and automate tasks
Requirements
- 7+ years of experience in Data Analytics in a B2C product company
- Proven experience in a lead / head / principal-level role, owning analytics across multiple domains.
- Strong hands-on SQL (must) and statistical modeling experience (nice to have)
- Strong experience in data modeling, with the ability to structure data for scalable analysis and consistent metric definitions
- Strong business acumen, with a clear understanding of how product, marketing, and revenue dynamics connect
- Technology-oriented, comfortable working within modern data stacks (Snowflake, DBT, event tracking) and collaborating closely with data and engineering teams
- Deep experience with product analytics tools (mixpanel or others)
- Strong understanding of growth, retention, and monetization
- Experience with attribution tools (AppsFlyer, Kochava, Meta/Google Ads)
- Strong background in experimentation and A/B testing methodologies
- Impact-driven approach, focused on prioritizing work that drives measurable business outcomes and not just analytical output
Benefits
- Health insurance
- Retirement plans
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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