Data Analyst (Power BI, SQL, ETL)

Optiveum; Warszawa; Hybrid; PLN 74,000 - 124,000; Full time

Job summary

Optiveum is recruiting a Senior Data Analyst for a banking-industry client. You will own data work for the DORA programme, turning raw data into structured models and delivering high-sensitivity KPI dashboards in Power BI while reporting to the DORA Programme Manager.

This hybrid, full-time role (40 h/week) is based in Poland with locations Warsaw, Gdańsk, Gdynia or Łódź. Requirements include 4+ years in Data Analysis/BI, strong SQL and Excel, experience with relational databases and ETL, and

Qualifications

• 4+ years of experience in Data Analysis and BI, including building structured databases and dashboards.
• Strong SQL and Excel skills with data modelling basics.
• Understanding of relational databases and ETL frameworks.
• Hands-on Power BI experience including data modelling and dashboards.
• Attention to data quality and detail.
• Ability to work independently and communicate delivery obstacles clearly.
• Excellent written and spoken English.

Responsibilities

• Own data work for the DORA programme and report to the Programme Manager.
• Transform raw data into structured data models and SQL databases.
• Build and maintain high-sensitivity KPI dashboards in Power BI.
• Translate requirements into clear, actionable reporting.
• Ensure data quality, consistency, and accuracy across sources.
• Prepare solution documentation for the data models and reports.
• Provide tactical support to the Programme Sponsor and handle ad‑hoc data tasks.

Skills

Data Analysis

BI dashboards

English communication

Independent work

Tools

Power BI

SQL

Excel

ETL frameworks

Job description

Data Analyst (Power BI, SQL, ETL)

About the Offer

We are currently looking for a Senior Data Analyst to join the team of our client from the banking industry. For this role, Optiveum is the recruitment and contracting party, which means you will sign the cooperation agreement directly with us.

You will take data responsibility in a highly prioritised strategic programme in the area of DORA (Digital Operational Resilience Act). Working closely with the DORA Programme Management Office and reporting directly to the DORA Programme Manager, you will turn raw data into structured data models and deliver high-sensitivity executive KPI reporting, while also providing tactical support to the Programme Sponsor. We are looking for long-term cooperation.

Key Details:

• Rate: up to 90 PLN/h (B2B)

• Work Model: Hybrid, 3 days per week from the office, full-time (40h/week)

• Location: Warsaw, Gdańsk, Gdynia or Łódź

Responsibilities:

• Own the data-related work for the DORA programme, partnering with the Programme Management Office and reporting directly to the DORA Programme Manager

• Transform raw data (e.g. Excel spreadsheets) into structured data models (e.g. SQL databases)

• Build, deliver and maintain high-sensitivity executive KPI dashboards in Power BI

• Translate programme and stakeholder requirements into clear, actionable reporting

• Ensure data quality, consistency and accuracy across sources and reports

• Prepare solution documentation for the data models and reports you build

• Provide tactical support to the Programme Sponsor and take on ad-hoc data tasks as needed

Requirements:

• 4+ years of experience in Data Analysis and Business Intelligence, including creating and managing structured databases and building BI dashboards

• Strong SQL and Excel skills (aggregations, data modelling basics)

• Good understanding of relational databases and ETL frameworks

• Hands-on experience with Power BI: data modelling, visualisation best practices and turning requirements into actionable insights

• Strong attention to data quality and detail

• Ability to work independently and communicate potential delivery obstacles clearly and transparently

• Excellent written and spoken English

Nice to Have:

• Experience in banking, financial services or regulatory programmes (e.g. DORA)

• Experience preparing reporting for executive or senior-stakeholder audiences