Scompler

Data Analyst

Scompler

full-time

Posted on:

Location Type: Hybrid

Location: Munich • Germany

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Tech Stack

SQL

About the role

  • We are looking for a Data Analyst who will build and own Scompler’s data function from the ground up.
  • You will consolidate the data we already have on product, sales, and customer success into a single, coherent foundation — and turn it into insights that enable better decisions across the company.
  • This role acts as an internal data service: cross-functional in scope, outcome-oriented in execution, and strategic in focus.
  • You will not only analyze existing data but also help build the integration and reporting layer that makes data a real asset for Scompler.
  • You will work closely with our engineering team on infrastructure and with Product Leadership on strategic priorities.
  • Ensure that this data is accessible, trustworthy, and actionable for every team at the right time.
  • Success in your first year means: auditing our current data landscape and tools, understanding the key business questions across all departments, building reporting for core needs (Product Analytics, Customer Health, commercial segmentation), and creating a roadmap for the data infrastructure we will need going forward.

Requirements

  • 5+ years of experience as a Data Analyst, Analytics Engineer, or in a comparable role within a SaaS or B2B product environment.
  • Strong SQL skills and experience working with real-world, unstructured data from multiple sources.
  • Practical experience with BI tools (e.g., Looker Studio, Metabase, Power BI, or similar) and the judgment to select the appropriate tool.
  • Experience integrating data from CRM systems (ideally HubSpot) and product event tracking into a unified analytics foundation.
  • Comfortable with data infrastructure and analytics — you don’t need to own the entire stack, but you can navigate it and collaborate effectively with engineering.
  • Proven experience collaborating cross-functionally with Product, Customer Success, Sales, and Leadership — you translate business questions into data problems and back again.
  • Strong communication skills: you can explain data to people who don’t live in spreadsheets.
  • Structured, pragmatic work style: you know when a clean dashboard delivers more value than a perfect model.
  • Ambition to grow — you see this as a career-defining opportunity, not just a job.
  • Fluent in English; German language skills are a plus.
Benefits
  • Exceptional team: Join a capable and versatile team that offers you abundant opportunities for development.
  • Fair compensation: A competitive salary above the market average.
  • Remote option: Work from home, from our attractive Munich office near Ostbahnhof, or fully remote within Germany (with occasional travel to the Munich HQ).
  • Flexible working hours: You decide when and how you work best.
  • Generous time off: Enjoy 28 days of paid vacation per year for full-time employment.
  • Supportive environment: Work in a supportive and inclusive workplace.
  • Hardware of your choice: Bring your own device or receive state-of-the-art hardware to do your best work.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
SQLdata analysisdata integrationreportingproduct analyticscustomer healthcommercial segmentationunstructured datadata infrastructureanalytics engineering
Soft Skills
communicationcollaborationpragmatic work stylecross-functional teamworkproblem-solvingstrategic focusoutcome-oriented executionambition to growtranslating business questionsexplaining data insights