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LocalStack is a Series A startup (funded $25M in Q4 2024) building a local cloud development platform that enables developers and AI agents to simulate cloud environments securely and efficiently. The platform serves customers ranging from SMBs to Fortune 500 companies including NASA, Harness, IBM, Workday, Comcast, Apple, 3M, and Block.
In this Senior Product Data Analyst role, you will shape LocalStack's product analytics strategy as the company scales. You'll be responsible for connecting fragmented data and user identities across multiple product surfaces—the Emulator, CLI, VS Code extension, web app, and documentation—using rich product telemetry to understand how user behavior drives conversion, expansion, and churn.
Key responsibilities include:
- Building and evangelizing product analytics foundations, delivering actionable insights to GTM, Finance, Marketing, Product, and Engineering teams on how the product is being bought and used across PLG and SLG channels
- Connecting the user journey across all product touchpoints to create a 360-degree customer view that accounts for human users, CI systems, and AI agents
- Translating complex datasets into clear insights with strategic recommendations that drive measurable outcomes impacting product success
- Understanding current data flows at LocalStack and collaborating with technical teams to develop data enrichment strategies
- Developing insights that prove ROI and value proposition for customers in collaboration with customer-facing teams
You'll work closely with highly technical teams and have significant ownership in shaping how product analytics, data tooling, and AI-assisted workflows evolve at LocalStack. The company is globally distributed with headquarters in Zurich, a small engineering office in Vienna, and remote team members from 25 countries.
REQUIREMENTS:
- 7+ years in a data analytics role with strong focus on product analytics
- Experience modeling unified systems, demonstrating architecture-level thinking
- Strong SQL skills and proficiency with programming languages such as Python
- Experience with web and product analytics tools (Posthog, GA4, Segment, RudderStack, Heap, Amplitude, Contentsquare, or equivalent)
- Experience using AI-assisted coding tools (Cursor, Claude Code) to prototype and iterate across analysis, data modeling, instrumentation, visualization, and code development
