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.
Experience with product and business event tracking — including defining business events, understanding product flows, and identifying the signals that drive meaningful analytics.
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.

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.
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.
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.

Paid time off – 30 vacation days.
A competitive salary.
A personal training and development budget of €1,500 per year.
Responsibility and trust from day one.
Individual coaching and further training to support you in your development.
A free BVG ticket.
Employee discounts at numerous companies (e.g. at the gym or in online stores).
Pension program with company match up to 30% of employee contributions.
A culture of equity and inclusion where you are appreciated for the person you are.

Diversity & Inclusion At ablefy, we embrace our differences, as they are our greatest strength. We recognize that everyone has a unique perspective based on their experiences, identities, and thought processes, and we strive to create an inclusive environment for all. Discrimination based on race, religion, color, national origin, gender identity or expression, sexual orientation, age, marital status, disability status, or any other aspect that makes you unique is not tolerated at ablefy. We aim to make growth accessible to everyone! We know that no candidate checks every single box, and that’s okay! If you’re excited about this role and think you can bring something valuable to our team, we encourage you to apply—even if you don’t meet every requirement. We’d love to hear from you!

Ablefy is hiring a Data Analyst - mid or senior level (F/M/X)