About the role

You'll build the data foundation that enables everyone at Gamma to make faster, smarter decisions. As we continue to grow past $100M ARR with a data-savvy but decentralized team, we need someone to create a single source of truth, standardize metrics, and make self-service analytics safe and reliable. This means designing systems that answer the vast majority of organizational questions on their own, while partnering with product, growth, marketing, and support teams to turn data into action.

This isn't a data-only role. You're a growth-minded analyst who thinks like a PM, curious about what moves metrics and eager to help others move faster. You'll work with modern AI and data infrastructure from day one, leveraging tools like Claude and Snowflake to make experimentation and reporting faster. You'll run experiments on our core growth funnel, prototype AI-driven tools, and potentially build external analytics products for customers.

Our team has a strong in-office culture and works in person 4–5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.

What you'll do

• Own key reports and dashboards that show the pulse of the business, redefining metrics like activation and retention

• Standardize metrics and build systems so teams can self-serve reliable data from one source of truth

• Collaborate with product, growth, marketing, and support teams to turn questions into insights and actionable systems

• Lead metrics reviews with stakeholders and build ad-hoc reports for sales and GTM teams

• Run experiments on our core growth funnel, exploring opportunities in churn reduction, pricing, and growth efficiency

• Prototype AI-driven tools that make experimentation, reporting, and anomaly detection faster and smarter

What you'll bring

• 3–5 years of experience as a data analyst or analytics engineer, ideally at high-growth startups

• Expert-level SQL skills and ability to work with large, complex datasets

• Product sense and understanding of growth loops, with a track record of moving key metrics

• AI-native mindset with experience leveraging AI tools to accelerate analysis and decision-making

• Strong communication skills and comfort working cross-functionally, with the ability to educate and empower teams to be self-sufficient with data

• Python experience, a past engineering background building internal tools, or hands-on experience with BI platforms like Metabase or Looker (Nice to have)

Compensation range:

The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $125K - $200K plus benefits & equity.

Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.

If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.