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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 90% of organizational questions without human help, while partnering with product, growth, marketing, and support teams to turn data into action. You'll work with modern AI and data infrastructure from day one, leveraging tools like Claude and Snowflake to make experimentation and reporting faster. 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 prototype AI-driven tools, run experiments on our core growth funnel, and potentially build external analytics products for customers.
Job Responsibility:
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
Requirements:
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 track record of moving key metrics
AI-native mindset and experience leveraging AI tools to accelerate analysis and decision-making
Ability to educate and empower teams to be self-sufficient with data
Strong communication skills and comfort working cross-functionally with product, engineering, marketing, and support
Nice to have:
Python experience or past engineering background building internal tools
Experience with BI tools like Metabase, Looker, or similar platforms