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.

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.

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.

Data Analyst

Key skills