Data analyst

ablefy; Berlin; On-site; EUR 60,000 - 85,000; Full time

Benefits offered by this job

30 дней отпуска

Обучение €1500/год

BVG билет

Скидки сотрудникам

Пенсионный план 30% матчинга

Культура равенства

Job summary

ablefy ищет Data Analyst, который будет играть ключевую роль в формировании внутренней аналитики и продуктов на основе данных для клиентов. Вы будете заниматься аналитическими инициативами, проектированием моделей данных и развитием хранилища, а также созданием встроенных дэшбордов и AI‑инструментов для поддержки решений.

Требуется 3–5 лет опыта, знание SQL и Python, свободный английский; немецкий будет плюсом. Возможна работа в fintech‑сегменте и глобальной среде.

Qualifications

• 3–5 лет опыта в аналитике данных.
• Опыт работы с AI‑driven analytics или LLM
• Знание SQL, моделирования данных и концепций хранилища данных
• Опыт в создании клиентских аналитических продуктов приветствуется
• Свободный английский; немецкий будет плюсом

Responsibilities

• Управлять ключевыми аналитическими инициативами от идеи до внедрения.
• Проектировать и реализовывать модели данных и трансформации.
• Развивать хранилище данных, интегрировать источники и стандартизировать метрики.
• Работать с командами для преобразования аналитики в решения.
• Разрабатывать клиентские аналитические продукты и самодостаточные инструменты.

Skills

Quantitative analysis

SQL

Python

AI analytics tools

Data modeling

English fluency

Tools

SQL

Python

Job description

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.