Data analyst

Описание

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.

Задачи

• 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.

Требования

• 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).
• 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.
• Fluent in English
• Будет плюсом: Hands-on experience is a plus, but curiosity and the ability to learn are essential;
• 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;
• German is a plus

Условия

• 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.