Business Data Analyst

We’re looking for a Business Data Analyst to help optimize conversion rates, detect anomalies, and design seamless data pipelines for payment systems. This role focuses on deeply understanding the business, turning data insights and observations into product improvements, and developing domain expertise. The team collaborates in person in the Warsaw office, with 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 and 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: Understand the full business context, proactively identify opportunities for gains and optimizations, and take initiative on analyses.
• Data-driven decision-making: Connect data with real business impact and make decisions without analysis paralysis.
• Result-orientated mindset with focus on continuous improvement: Challenge the status quo, seek improvements, and deliver measurable results.
• 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 such as Metabase, Looker, PowerBI, or similar.
• Experience building analytical toolsets.
• Basic Python scripting skills.
• Ability to use AI tools effectively and responsibly to accelerate analytical work, including SQL, Python, data exploration, documentation, and automation.
• Ability to handle and normalize non-standard data files beyond standard GUIs.
• Professional proficiency in English.

Nice to have

• Ability to design and manage data pipelines for smooth data flow.