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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in product analytics, translating complex datasets into actionable insights and strategic recommendations. Proficient in utilizing web and product analytics tools to enhance customer understanding and drive product success.
Highest-signal resume keywords
7+ Years In Data AnalyticsStrong Experience With Complex SQLExperience With Web And Product Analytics ToolsProgramming Languages Such As PythonExperience Using AI-Assisted Coding Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Product AnalyticsData ModelingData VisualizationUser Behavior AnalysisData EnrichmentSQLPython
Soft Skills
Strategic ThinkingCollaborationCommunication
Tools & Technologies
PosthogGA4SegmentRudderStackHeapAmplitudeContentsquareCursorClaude Code
Industry Keywords
Product-Led GrowthSales-Led GrowthCustomer Value PropositionReturn On Investment
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Build and evangelise product analytics foundations
- Deliver actionable insights for GTM, Finance, Marketing, Product and Engineering teams on how the product is bought and used across PLG and SLG channels
- Connect the user journey across the Emulator, CLI, VS Code extension, console, docs site and website
- Provide a 360-degree customer view of behavior across human users, CI, AI agents and composites such as human plus AI
- Translate complex datasets into clear insights and strategic recommendations that drive measurable actions and product success
- Understand current data flows and work with technical teams to develop enrichment for the product analytics vision
- Develop insights demonstrating customer value proposition and ROI in collaboration with customers and customer-facing teams
- Shape product analytics strategy, data tooling and AI-assisted ways of working at LocalStack
Requirements
What you’ll need- 7+ years in a data analytics role with a strong focus on product analytics
- Experience modelling a unified system, showcasing architecture level thinking
- Strong experience with complex SQL
- Ideally programming languages such as Python
- Experience with web and product analytics tools such as Posthog, GA4, Segment, RudderStack, Heap, Amplitude, Contentsquare, or equivalent
- Experience using AI-assisted coding tools (e.g., Cursor, Claude Code) to quickly prototype and iterate across analysis, data modeling, instrumentation, visualization and code development
- Include a short motivation outlining why you are the perfect candidate for this role
- Must answer application questions about owning a product analytics project end-to-end and analyzing user behavior across multiple products or data sources
- Must provide name, email, resume, location, and answer whether visa sponsorship will be required
Benefits
Comp & perks- Fully remote
- Competitive salary
- Annual company retreat
- 2 extra company-wide holidays
- Friendly and inclusive workplace culture (community guilds and online company events)
- Yearly bonus