Data Analyst

The Data Analytics team empowers our entire organization by transforming complex data into actionable business insights and building robust self-service tools. As a Data Analyst, you will play a crucial role in modeling customer behavior and marketing data to directly support senior stakeholders and commercial teams.

In this role, you will:

• Develop a foundational understanding of the relationships between customer behavior and our growth drivers through data analysis and data modelling;
• Assist in creating and maintaining self-service dashboards for stakeholders across the business, using PowerBI or Superset;
• Model and connect marketing campaign, channel, and touchpoint data to help us better understand the customer journey from acquisition to conversion;
• Utilize analytical tools (SQL, Python, Google Sheets) to prepare and analyze data, supporting key decision-making processes;
• Leverage AI tools to accelerate data analysis workflows and improve productivity;
• Identify new research areas that should be pursued and provide recommendations to senior stakeholders;
• Conduct ad-hoc analysis to address stakeholder questions, focusing on commercial impact and effectively communicating your findings.

Your skills & experiences:

• 2+ years of experience working closely with business leaders in an analytical or consulting role, driving measurable business impact;
• Strong proficiency in SQL for data manipulation, alongside experience with visualization tools (PowerBI, Superset, Tableau, Looker) and Excel/Google Sheets;
• Understanding of when and how to leverage AI in both analytical and business workflows;
• A pragmatic, problem-solving mindset-you know when a quick Excel pivot beats a complex Python script, and you view AI as a valuable productivity multiplier.
• Excellent English communication skills, allowing you to clearly translate technical findings and comfortably engage in engineering-related discussions.

Nice to have:

• Solid understanding of marketing metrics (funnel, cohort, and campaign analysis), ideally combined with SaaS metrics (MRR, LTV/CAC), and a strong commercial awareness focused on user needs.

Tech Stack:

• Google Cloud Platform (GCS, BQ) for storage and warehousing;
• dbt and SQL for data modelling;
• Python for automation;
• Jupyter for ad-hoc analysis;
• PowerBI and Superset for data visualisation;
• Airflow for orchestration.

Salary & Benefits:

• Gross salary: 3200-4500 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.
• Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
• Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
• Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
• Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: .