Responsibilities
- Run user research (interviews, feedback loops, data analysis) and translate feedback into insights that allow for actionable growth opportunities
- Work directly with stakeholders to frame problems, challenge assumptions, and prioritize what matters
- Design and run experiments, analyses, and campaigns to drive growth and product adoption
- Build/ vibe code lightweight data apps to enable faster decision-making
- Connect tools and systems (product, marketing, sales) into a coherent data ecosystem
- Push the team toward clarity and simplicity in how we measure and reason about the business
- Operate across commercial and product functions — with a strong bias toward action and impact
Requirements
- Comfortable owning and evolving a modern data stack
- Strong in SQL and data modeling
- Experience working with modern data stacks
- Ability to go from messy question to structured problem
- Ability to go from raw data to usable model
- Ability to go from insight to shipped action
- Product and business mindset: think in terms of problems and outcomes, not just queries or models
- Comfortable talking to stakeholders, pushing back, and making trade-offs
- Pragmatism: know when to build vs hack, go deep vs move fast, say no vs explore
- Optimize for impact, not perfection
- Technical depth: not afraid of technical complexity
- Communication skills: enjoy managing diverse stakeholders, bringing alignment, translating challenges to growth solutions
Nice to Have
- Experience in a high growth start up environment, especially PLG
- Experience working as or close to an analytics engineer / data generalist
- Experience in a product, marketing or growth-focused data role
- Enjoy ambiguity
- Enjoy ownership
- Enjoy figuring things out from first principles
- Enjoy talking to customers
- Have felt frustrated being too far from business decisions
- Have felt frustrated being stuck maintaining dashboards
- Have felt frustrated being limited to one layer of the stack
Work Arrangement
Remote (Worldwide) — North America, Europe, Asia
What will you be doing?
- Run user research (interviews, feedback loops, data analysis) and translate feedback into insights that allow for actionable growth opportunities
- Work directly with stakeholders to frame problems, challenge assumptions, and prioritize what matters
- Design and run experiments, analyses, and campaigns to drive growth and product adoption
- Build/ vibe code lightweight data apps to enable faster decision-making
- Connect tools and systems (product, marketing, sales) into a coherent data ecosystem
- Push the team toward clarity and simplicity in how we measure and reason about the business
- You’ll operate across commercial and product functions— with a strong bias toward action and impact.
What environment will you be working in?
- GCP (BigQuery, Composer)
- dbt (Cloud / via Cursor)
- Replit (data apps & internal tooling)
- Tableau / Count (analysis & exploration)
- Amplitude, Segment (product & event data)
What we value
- Your product and business mindset
- Your ability to operate end-to-end
- Your pragmatism
- Your technical depth
- Your communication skills
What this role is not
- Not a reporting role focused on dashboards
- Not a pure data engineering role
- Not a traditional analyst role doing long, static analyses
You might be a good fit if
- You have experience with: a high growth start up environment, especially PLG
- You have experience with: working as or close to an analytics engineer / data generalist
- You have experience with: working in a product, marketing or growth-focused data role
- You enjoy: ambiguity
- You enjoy: ownership
- You enjoy: figuring things out from first principles
- You enjoy: talk to customers
- You’ve felt frustrated being: too far from business decisions
- You’ve felt frustrated being: stuck maintaining dashboards
- You’ve felt frustrated being: or limited to one layer of the stack
Hiring process
- Intro call (fit & expectations)
- Deep dive with the hiring manager (Head of Data)
- Practical discussion / case
- Final conversation with the team
Why join us?
- You’ll be one of the few people at GitBook owning data as a product and a lever for growth.
- This is a role where: your work directly shapes decisions, your scope is wide, and your impact is visible
Join GitBook at a pivotal time
This is a chance to shape our product, craft, and culture.
