Senior Product Data Analyst

LocalStack · Remote · Spain ·
Fully remoteFull-timeSenior5+ years
COMPENSATION
€50k – €90k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Senior level role
  • Fully remote worldwide
  • SQL and Python focus
  • Product analytics strategy
  • AI-native workflow tools

Join LocalStack as a Senior Product Data Analyst to define and build the foundation of product analytics. You will unify user identities across the Emulator, CLI, VS Code extension, and web app to create a 360-degree view of customer behavior. Your insights will directly influence pricing, packaging, and growth strategies for a platform used by Fortune 500 companies and AI agents.

What you'll do

  • Build and evangelize product analytics foundations for internal teams
  • Connect user journeys across emulator, CLI, extensions, and docs
  • Translate complex datasets into strategic recommendations for product success
  • Collaborate with technical teams to enrich data flows and instrumentation
  • Develop insights demonstrating value proposition and ROI for customers

What you'll need

  • 7+ years in data analytics with strong product analytics focus
  • Experience modeling unified systems with architecture-level thinking
  • Strong proficiency in complex SQL and programming languages like Python
  • Experience with web analytics tools such as Posthog, GA4, or Segment
  • Proficiency using AI-assisted coding tools for analysis and prototyping

Stack

  • SQL
  • Python
  • Posthog
  • GA4
  • Segment
  • RudderStack
  • Heap
  • Amplitude
  • Contentsquare
  • Cursor
  • Claude Code

How you'll work

  • Fully remote position
  • Global team distribution
  • Headquartered in Zurich, Switzerland

What you get

  • Competitive salary package
  • Yearly bonus potential
  • Annual company retreat
  • Two extra company-wide holidays
  • Inclusive culture with community guilds

Hiring process

  • Submit application with short motivation letter
  • Talent team reviews profile within two weeks
  • Further steps organized if profile matches requirements