Data Analyst - mid or senior level (F/M/X)

At ablefy, we believe that passion can turn into a career for anyone! With our cloud-based SaaS platform solution, ablefy.io, we offer an easy and efficient way for everyone to create and sell digital products and online courses. More than 70,000 entrepreneurs have already placed their trust in our expertise!

Our story began in 2015, and for the first five years, we grew organically, becoming a profitable company with a team of around 60 employees. Then, in September 2021, we raised $38 million in series A funding led by Target Global, with participation from Partech Ventures and Avid Ventures. Since then, we've doubled in size!

Our company size, products, features, and services have doubled and we have become Germany's No. 1 platform for coaches, consultants, speakers, and service providers. We continue to grow to this day – that's why we're looking for you.

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
  
• Adaptive execution
• Collective ambition
  
• Evolving expertise
  
• Empathetic leadership

As an AI-first company, we put intelligent technology at the heart of everything we do. AI is part of how we build, learn, and grow together. It helps us work smarter, move faster, and focus on creating real impact. We believe the strongest results come from combining thoughtful technology with curious, driven people — and we’re excited to shape what’s next, together.

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.
• →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.
• →Drive experimentation and deep quantitative analysis — from A/B testing to customer behavior deep dives — to support product strategy and feature prioritization.
• →Contribute to the development of our data warehouse and ensure scalable, consistent metrics across the company.

• Strong quantitative background and 3-5 years of relevant experience as a Data Analyst.
• Proven experience with product analytics and experimentation.
• 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.
• Strong communication skills and commercial awareness — able to simplify complex insights, prioritize based on customer and business impact, and manage diverse stakeholders across Product, Engineering and Finance.
• Experience building or contributing to customer-facing data products is a plus (embedded analytics, data APIs, or AI-based self-service tools).
• Experience in fintech domains — such as payments, PSPs and checkout is a plus.
• Fluent in English; German is a plus.