Business Data Analyst

your Jared; Poland; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

Daftcode, a technology group, seeks a Business Data Analyst for the DataHub to optimize conversion rates, detect anomalies, and design data pipelines for payment systems. The role emphasizes deep business understanding, data-driven insights, and turning observations into product improvements. Warsaw office with remote flexibility.

You should have SQL, Python, and BI tool experience, plus a strong analytical mindset. This is a hands-on data role with opportunities to become a domain expert.

Qualifications

• Proactive ownership and full context understanding of the business.
• Data-driven decisions that impact business outcomes.
• Result-oriented mindset with continuous improvement focus.
• Experience in data analysis, ideally in payments or banking.
• SQL (PostgreSQL) knowledge and database optimization basics.
• Familiarity with Metabase/Looker/PowerBI for analytics.
• Experience building analytical toolsets and automation.
• Basic Python scripting skills.
• Ability to use AI tools to accelerate analytics work.
• Ability to handle non-standard data formats and normalize inputs.
• Nice to have: design and manage data pipelines.
• Professional English communication.

Responsibilities

• Insights Generation: analyze data to optimize conversion funnels and detect anomalies.
• AB Testing & Benchmarking: run experiments and benchmark performance.
• Analytical Tool Development: create tools for easy data access for stakeholders.
• Financial Analysis: dive into transactional data for insights.
• Pipeline Design: build and maintain data pipelines for transaction data.

Skills

SQL

Python scripting

Data analysis

Data-driven decisions

Tools

Metabase

Looker

PowerBI

Data pipelines

Job description

Business Data Analyst

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.

Job details

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 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.