Data Analyst

Role Overview

• We are seeking a Data Analyst to 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 turns data into a real asset for Scompler.
• You will work closely with our engineering team on infrastructure and with Product Leadership on strategic priorities.
• Your mission: transform Scompler from a data-rich company into a data-driven one.
• Connect product usage data, commercial data and qualitative signals into a single reliable source.
• Ensure that this data is accessible, trustworthy and actionable for every team at the right time.
• In your first year, success means: auditing our current data landscape and tools, understanding the key business questions of all departments, building reporting for central requirements, and creating a roadmap for the data infrastructure we will need going forward.
• Consolidate data from product, commercial and customer-facing sources into an integrated, reliable foundation.
• Evaluate and recommend BI tools that fit our stage and enable a self-service approach across teams.
• Improve event-tracking quality in the product together with engineering to ensure clean, structured and reliable usage data.
• Build churn intelligence: identify behavioral patterns in churned accounts and translate them into early-warning signals that enable proactive customer outreach.
• Develop product analytics that correlate feature adoption with retention and expansion outcomes — replace proxy metrics with evidence-based prioritization.
• Create commercial intelligence by combining product usage and commercial data to segment the customer base by maturity, industry and use case — e.g., to uncover market potential.
• Own the data layer for Customer Health and QBRs: provide a shared, reliable account-level view.
• Manage a transparent backlog of data requests from all departments — prioritize them according to company goals and deliver clear outcomes.
• Advise teams on how to frame questions for data, interpret results correctly and draw sound conclusions.
• Promote data literacy across the company together with the leadership team: define common metric definitions, document logic and establish a self-service approach so standard questions can be answered without your help.
• Contribute to reproducible reporting views for GM, investor and financial reporting.

Requirements

• 5+ years of experience as a Data Analyst, Analytics Engineer or in a comparable role in a SaaS or B2B product environment.
• Strong SQL skills and experience working with real-world, unstructured data from multiple sources.
• Hands-on experience with BI tools (e.g., Looker Studio, Metabase, Power BI or similar) and the judgment to select the right tool.
• Experience integrating data from CRM systems (ideally HubSpot) and product event tracking into a unified analytical foundation.
• Comfortable with data infrastructure and analysis — 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 working 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.

Tech Stack

• SQL

Benefits

• Fair compensation: a competitive salary above the market average.
• Remote option: Work from home, from our beautiful 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 a full-time role.
• Supportive environment: Work in a supportive and inclusive workplace.
• Hardware of your choice: Bring your own device or receive modern hardware to do your best work.