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 & 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.