data analyst self-service analytics

ablefy provides ablefy.io, an all-in-one platform that enables coaches, consultants, creators, and entrepreneurs to build and sell digital products online. The platform offers courses, memberships, payments, e-ticketing, and other tools, serving more than 70,000 entrepreneurs in the DACH region.

• Take responsibility for key analytics initiatives across the business, owning projects end-to-end and ensuring insights are translated into decisions;
• Own parts of the analytics engineering layer by designing and building data models and transformations for reliable consumption by dashboards, tools, and AI agents;
• Contribute to the ongoing development of the data warehouse by integrating new data sources and ensuring scalable, consistent metrics across the company;
• Work with internal teams to understand business and customer workflows, challenges, and goals, and translate them into meaningful analytics solutions;
• Design and build customer-facing data products, including embedded dashboards, reports, AI-based self-service analytics tools, and the intelligence layer;
• Collaborate with senior leadership and stakeholders to define and track KPIs, assess opportunities, and prioritize high-impact projects.

• Strong quantitative background and 3–5 years of relevant experience as a Data Analyst;
• Exposure to AI-driven analytics products or LLM applications, with curiosity and ability to learn;
• Experience with product and business event tracking, including defining business events, understanding product flows, and identifying meaningful analytics signals;
• Familiarity with AI-assisted development tools such as Cursor, Claude Code, Codex, or similar;
• Strong knowledge of SQL, data modeling, and data warehouse concepts;
• Proficiency in Python for analytics and statistics;
• Strong communication skills and commercial awareness, with the ability to simplify complex insights, prioritize by customer and business impact, and manage diverse stakeholders across Product, Engineering, and Finance;
• Fluent in English;
• Nice to have: Hands-on experience with AI-driven analytics products or LLM applications, experience building or contributing to customer-facing data products, experience in fintech domains such as payments, PSPs, and checkout, German language skills.

• 30 Vacation days;
• A competitive salary;
• A personal training and development budget of €1,500 per year;
• Individual coaching and further training;
• A free BVG ticket;
• Employee discounts at numerous companies;
• Pension program with company match up to 30% of employee contributions;
• A culture of equity and inclusion.