Data Analyst Mid level); F​/M​/X

At ablefy, we believe passion can turn into a career for anyone. With ablefy.io, we give coaches, consultants, creators, and entrepreneurs everything they need to build and sell digital products online — simply and efficiently. 70,000+ entrepreneurs already trust us to power their business.

Born in 2015, ablefy has grown into a true all-in-one solution — courses, memberships, payments, e-ticketing, and more. We take care of the hard stuff, so our users can focus on what truly matters: growing their business.

Today we're the #1 platform for coaches and creators in the DACH region — and we're not slowing down. That's where you come in.

Our mission; to build software that empowers everyone to start, run and grow a successful digital business - borderless, is supported by our high performance principles that are crucial to our success:

• Radical Collaboration
• Constructive confrontation
• Evolving expertise
• Empathetic leadership

Data is at the core of how we build products at ablefy — not only to guide our own decisions, but also as a value we deliver to our customers. As a Data Analyst, you will play a key role in shaping both our internal analytics and the customer-facing data products we bring to market. This includes delivering business-critical insights and reports, working on our AI-powered self-service analytics agent and the intelligence layer that powers agentic, data-driven product recommendations for our customers.

You will work closely with cross-functional stakeholders to define priorities and deliver end-to-end data projects. You will also stay close to customer needs and feedback to shape impactful data products — ensuring that data and AI-driven insights deliver maximum impact.

• Take responsibility for key analytics initiatives across the business, owning projects end-to-end and ensuring insights are translated into decisions.
• Own parts of our analytics engineering layer: design and build the data models and transformations that prepare and clean data for reliable consumption by dashboards, tools, and AI agents.
• Contribute to the ongoing development of our data warehouse — integrating new data sources and ensuring scalable, consistent metrics across the company.
• Work closely with internal teams to understand business and customer workflows, challenges & goals, and translate these into meaningful analytics solutions.
• Design and build customer-facing data products — from embedded dashboards and reports to AI-based self-service analytics tools and our intelligence layer — empowering internal stakeholders and our customers to make smarter, data-driven decisions more efficiently.
• Collaborate with senior leadership and stakeholders to define and track KPIs, assess opportunities, and prioritize projects with the largest impact.

• Strong quantitative background and 3-5 years of relevant experience as a Data Analyst.
• Exposure to AI-driven analytics products or LLM applications (e.g. self-service analytics agents, chatbots and dashboarding tools). Hands-on experience is a plus, but curiosity and the ability to learn are essential.
• Experience with product and business event tracking — including defining business events, understanding product flows, and identifying the signals that drive meaningful analytics.
• Familiarity with AI-assisted development tools (e.g. Cursor, Claude Code, Codex, or similar) and an interest in applying them to build and iterate on data pipelines, models, and analytics products more efficiently.
• Great knowledge of SQL, data modeling, and data warehouse concepts.
• Proficiency in Python for analytics and statistics.
• Experience building or contributing to customer-facing data products is a plus (embedded analytics, data APIs, or AI-based…