Data Analyst - Mid Level (F/M/X) in Berlin, Deutschland

About us

Since 2015, ablefy has been on a mission to turn expertise and passion into thriving businesses. Today, more than 100,000 entrepreneurs and companies use our platform to sell and grow, and together they've generated over €2 billion in revenue through ablefy.

We bring selling, payments, subscriptions and all the operations behind them into one place. That gives coaches, consultants, creators and growing companies the infrastructure to build and scale digital businesses across borders, without the usual complexity. We handle the hard parts so our customers can focus on what they do best.

Our principle is simple: when our customers grow, we grow. It shapes every product decision we make and how we measure our success. We're already a leading platform in the DACH region, and we're building what comes next.

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

About the role

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.

Responsibilities

• 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.

Requirements

• 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 self-service tools).
• 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 in fintech domains — such as payments, PSPs and checkout is a plus.
• Fluent in English; German is a plus.

Benefits

• 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!

AI at ablefy

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.