Mid-Level Data Analyst (F/M/X)

September 29, 2026

Remote

Middle

Berlin, Germany

Worth knowing

English is required

Description

ablefy is an all-in-one platform that helps coaches, consultants and creators build and sell digital products online, trusted by 70,000 entrepreneurs in the DACH region. The Data Analyst will shape both internal analytics and customer-facing data products, including an AI-powered self-service analytics agent and an intelligence layer for data-driven recommendations. The role owns analytics initiatives end-to-end, covering data modeling, data warehouse development and KPI definition together with senior leadership.

Gender markers in the title: (F/M/X)

In accordance with European anti-discrimination legislation, this job is open to all candidates

Ffemale

Mmale

Xintersex

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 the analytics engineering layer: design and build data models and transformations for dashboards, tools and AI agents
Contribute to the ongoing development of the data warehouse, integrating new data sources and ensuring scalable, consistent metrics
Work closely with internal teams to translate business and customer workflows, challenges and goals into meaningful analytics solutions
Design and build customer-facing data products from embedded dashboards and reports to 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 projects with the largest impact
Work closely with cross-functional stakeholders to define priorities and deliver end-to-end data projects

Requirements

Strong quantitative background and 3-5 years of relevant experience as a Data Analyst
Great knowledge of SQL, data modeling, and data warehouse concepts
Proficiency in Python for analytics and statistics
Exposure to AI-driven analytics products or LLM applications such as self-service analytics agents, chatbots and dashboarding tools
Experience with product and business event tracking, including defining business events and understanding product flows
Familiarity with AI-assisted development tools such as Cursor, Claude Code, Codex for building data pipelines and models
Strong communication skills and commercial awareness across Product, Engineering and Finance
Experience in fintech domains such as payments, PSPs and checkout is a plus
Experience building or contributing to customer-facing data products such as embedded analytics, data APIs or AI-based self-service tools is a plus
Fluent in English; German is a plus

Conditions

Paid time off – 30 vacation days
A personal training and development budget of €1,500 per year
Responsibility and trust from day one
Individual coaching and further training to support development
A free BVG ticket
Employee discounts at numerous companies such as gyms and online stores
Pension program with company match up to 30% of employee contributions
A culture of equity and inclusion

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