Business Data Analyst

DAFTCODE; Warszawa; On-site; PLN 120,000 - 180,000; Full time

Job summary

Daftcode is seeking a Business Data Analyst to join the DataHub in Warsaw. You will optimize conversion, detect anomalies, and design data pipelines for our payment systems, translating insights into product improvements and business impact.

This role requires SQL, Python, BI tools, and a strong analytical mindset. You will collaborate in person in Warsaw with remote flexibility, aiming to become a true domain expert.

Qualifications

• Experience in data analysis, ideally in payments, banking, or related industries.
• Proven experience in data analysis and turning insights into actions.
• Strong problem solving and business sense with an analytical mindset.

Responsibilities

• Insights Generation: analyze data to optimize conversion funnels and detect anomalies.
• AB Testing & Benchmarking: conduct experiments and performance benchmarking.
• Analytical Tool Development: build tools to make data accessible for stakeholders.
• Financial Analysis: analyze transactional data for insights.
• Pipeline Design: design and maintain data pipelines for transaction data.

Skills

SQL

Python

BI tools

Data analysis

English

Tools

Metabase

Looker

PowerBI

Job description

Daftcode is a technology group driven by an analytical approach to business. As a venture builder, it creates, scales and invests in startups in such areas as: Deep Tech, FinTech, InsurTech, Cyber Security and Blockchain, among others. The company offers its startups tech and business support, which facilitates market launch and growth of new companies. Daftcode works with individual startup founders, early-stage projects and existing startups looking for financing rounds or support in commercialization and business scaling.

We’re currently looking for aBusiness Data Analystto 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)
• 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 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.