Business Data Analyst

We're currently looking for a Business Data Analyst to the DataHub to help us optimize conversion rates, detect anomalies, and design seamless data pipelines for our payment systems. This role is not just about analytics — it’s about deeply understanding the business, playing Sherlock Holmes with data, and turning insights and observations into real product improvements. It’s a path to becoming a true domain expert.

If you have experience in SQL, Python, BI tools, and a strong analytical mindset, this could be a great opportunity to take the next step in your career. We’d love to have you in our Warsaw office, where our team thrives on in-person collaboration, with the flexibility to work remotely when needed.

Your responsibilities:

Insights Generation: Analyze data to optimize conversion funnels, track anomalies on micro and macro scale, and recommend actions to enhance performance. AB Testing & Benchmarking: Conduct experiments and performance benchmarking to drive evidence-based changes. Analytical Tool Development: Create and improve tools to make data easily accessible for stakeholders. Financial Analysis: Dive into transactional data for financial insights. Pipeline Design: Build and maintain robust data pipelines to gather and process transaction data from payment systems. (Nice to have)

Minimum qualifications:

• Proactive ownership: Someone who wants to understand the full context of our business, proactively identifies opportunities for gains and optimizations, and doesn't wait to be told what to analyze next.
• Data-driven decision-making: Someone who connects the dots between data and real business impact, with the ability to make decisions without getting stuck in analysis paralysis.
• Result-orientated mindset with focus on continuous improvement: Someone who naturally challenges the status quo, constantly seeking ways for improvements and delivering measurable results.
• Experience: Proven experience in data analysis, ideally in payments, banking, or related industries.
• Technical skills:

• Experience with SQL (e.g., PostgreSQL)

• Knowledge of database structures and optimization.

• Proficiency in data analysis and visualization tools like Metabase, Looker, PowerBI or similar.

• Experience in building analytical toolsets.

• Basic Python scripting skills.

• Ability to use AI tools effectively and responsibly to accelerate analytical work (SQL, Python, data exploration, documentation, and automation).

• Ability to handle non-standard data files beyond standard GUIs, to normalize inputs.

• Ability to design and manage data pipelines for smooth data flow (nice to have).

• Professional proficiency in English.