All jobsIT & SoftwareBusiness Intelligence
42 Business Intelligence Jobs in Poland
The work turns raw data into dashboards and reports that guide decisions across departments and product lines.
Average salary: PLN 206,062
Average salary
PLN 206,062
across 39 jobs
- Analytics Engineer
- Fresha
- Warsaw, Poland
- PLN 192,000 – PLN 264,000

- IT Business Analyst SAP FICO (Invoice Automation ReadSoft)
- DS Smith
- Kraków, Poland
- PLN 216,000 – PLN 288,000

- IT Business Analyst SAP FICO
- DS Smith
- Kraków, Poland
- PLN 160,000 – PLN 220,000

- Principal Platform Engineer, Identity Platform (AuthN/AuthZ)
- IFS
- Kraków, Poland
- PLN 280,000 – PLN 380,000

- Senior Business Analyst
- Worldline
- Warsaw, Poland
- PLN 180,000 – PLN 240,000

- Senior Consultant RELEX Space & Assortment
- IG&H
- Kielce, Poland
- PLN 264,000 – PLN 360,000

- IS Business Analyst
- ABB
- Kraków, Poland
- PLN 120,000 – PLN 180,000

- Data Steward
- AgileEngine
- Warsaw, Poland
- PLN 90,000 – PLN 130,000

- Data Steward
- AgileEngine
- Poznań, Poland
- PLN 108,000 – PLN 156,000

- Enterprise Domain Architect - Data
- ABB
- Kraków, Poland
- PLN 250,000 – PLN 350,000

- Insights Analyst
- PerkinElmer
- Kraków, Poland
- PLN 90,000 – PLN 130,000

- Business Analysis Specialist
- PPG
- Wrocław, Poland
- PLN 90,000 – PLN 130,000

- Senior Product Owner
- AgileEngine
- Warsaw, Poland
- PLN 264,000 – PLN 360,000

- SAP CO Consultant
- Schaeffler
- Wrocław, Poland
- PLN 180,000 – PLN 240,000

- DA/BI Developer
- HEINEKEN
- Kraków, Poland
- PLN 120,000 – PLN 170,000

- Data Engineering Lead
- OANDA
- Kraków, Poland
- PLN 360,000 – PLN 504,000

- Salesforce & Business Process Intern
- HOMAG
- Poznań, Poland
- PLN 52,000 – PLN 72,800

- IS Business Analyst & UX Design Team Lead
- ABB
- Kraków, Poland
- PLN 180,000 – PLN 240,000

- Domain Consultant L2 (Contract)
- Wipro Limited
- Kraków, Poland
- PLN 264,000 – PLN 360,000

- Manufacturing Solution Analyst (Junior/Regular)
- O-I
- Poznań, Poland
- PLN 90,000 – PLN 130,000

- People Analytics - Workday Reporting Developer
- Rolls-Royce
- Kraków, Poland
- PLN 192,000 – PLN 264,000

- Senior BI Developer
- Wärtsilä
- Gdańsk, Poland
- PLN 180,000 – PLN 240,000

- Młodszy Analityk IT (Umowa na zastępstwo)
- Santander
- Wrocław, Poland
- PLN 72,000 – PLN 108,000

- Senior Data Scientist
- NielsenIQ
- Warsaw, Poland
- PLN 180,000 – PLN 240,000

- Senior Customer Trust Analyst
- Cisco
- Kraków, Poland
- PLN 180,000 – PLN 260,000

- Senior Data Scientist
- AgileEngine
- Szczecin, Poland
- PLN 264,000 – PLN 360,000

- Business Analyst (IT Trainee - No-Code Path)
- Deloitte Global
- Warsaw, Poland
- PLN 72,000 – PLN 96,000

- Analyst, Applied Analytics
- CreatorIQ
- Warsaw, Poland
- PLN 144,000 – PLN 172,000

- Data Business Analyst – GCP / Hadoop
- Capco
- Kraków, Poland
- PLN 216,000 – PLN 288,000

- Senior IT Business Analyst
- ING
- Katowice, Poland
- PLN 168,000 – PLN 216,000

- Senior System Business Analyst (Credit and Lending)
- Madiff
- Warsaw, Poland
- PLN 264,000 – PLN 360,000

- Business Automation & Enablement Professional
- Vestas
- Szczecin, Poland
- PLN 144,000 – PLN 216,000

- Junior Data Analytics & BI Specialist
- ABB
- Aleksandrów Łódzki, Poland
- PLN 90,000 – PLN 120,000

- Business Analyst IAM
- Inetum
- Warsaw, Poland
- PLN 192,000 – PLN 264,000

- IT Business Analyst (limited contract)
- Mercedes-Benz Group AG
- Jawor, Poland
- PLN 144,000 – PLN 216,000

- Analityk Systemowy (KYC)
- B3 Consulting Poland
- Wrocław, Poland
- PLN 192,000 – PLN 264,000

- Senior Analytics Engineer (Semantic Layer)
- Sigma Software
- Kraków, Poland
- PLN 180,000 – PLN 260,000

- Country Analytics and Portfolio Optimization Lead
- Roche
- Poland
- PLN 180,000 – PLN 260,000

- Model Risk Management Specialist
- Kraken
- Brazil, Canada +5 more
- C$100,000 – C$150,000

- Generative AI Analyst
- Welo Global
- Poland
- $20,000

- IT Transformation Risk Consultant
- EY
- Katowice, Poland
- PLN 144,000 – PLN 216,000

- Business Analyst
- Exadel
- Bulgaria, Lithuania +2 more
- €40,000 – €60,000

Business Intelligence roles involve designing and maintaining reporting systems, building dashboards, writing SQL queries, and translating business questions into data visualizations. The work spans data extraction, transformation, warehouse maintenance, and stakeholder communication.
Employers typically require SQL proficiency, experience with BI tools like Tableau or Power BI, and understanding of data modeling. Many positions ask for a degree in a quantitative field, though demonstrated technical ability and business acumen often matter more.
These roles exist across industries—retail, finance, healthcare, technology—at companies from startups to enterprises. Positions range from junior analyst to senior architect, sitting within data teams, IT departments, or embedded in business units.
Business Intelligence jobs by city
- Bengaluru32
- Hyderābād23
- Singapore22
- Mexico City18
- Colombia17
- São Paulo17
- London17
- New York City16
- Lisbon16
- Kraków14
- Gurugram13
- Pune12
- Noida11
- Paris11
- Istanbul11
- Hamburg11
More in IT & Software
- Software Development10595
- Network and Systems Engineering3338
- Network and Systems Support2401
- IT Managers2192
- Data Analysis and Mathematics1863
- Database Specialists734
- Front-End Application Design543
Questions
What does a typical day in Business Intelligence involve?
A typical day involves writing SQL queries, building or updating dashboards, meeting with stakeholders to understand reporting needs, and troubleshooting data quality issues. Time splits between technical work at the computer and collaborative sessions explaining findings or gathering requirements.
Can someone enter Business Intelligence without a technical degree?
Yes, many professionals enter through self-study, bootcamps, or by transitioning from analyst roles in other departments. Strong SQL skills, familiarity with BI tools, and the ability to understand business problems matter more than formal credentials.
How does Business Intelligence differ from Data Analytics?
Business Intelligence focuses on reporting, dashboards, and maintaining data infrastructure for ongoing operational insights. Data Analytics tends toward exploratory work, statistical analysis, and answering specific research questions, often with less emphasis on production systems.
What skills advance a Business Intelligence career most quickly?
Deep SQL expertise, data warehouse architecture knowledge, and the ability to translate business needs into technical requirements accelerate advancement. Strong communication skills and understanding of business operations distinguish senior practitioners from junior ones.
Do Business Intelligence roles require programming beyond SQL?
Many roles operate primarily in SQL and BI tools without traditional programming. Senior positions and roles at tech companies increasingly expect Python or R for advanced transformations, but scripting remains optional in many organizations.
What working conditions characterize Business Intelligence positions?
Most work happens at a desk with standard office hours, though deadlines around executive reporting or quarter-end can create pressure. Remote work is common since the role relies on database access rather than physical presence.
How technical is Business Intelligence compared to Data Engineering?
Business Intelligence is less technical, focusing on querying existing data systems and visualization rather than building data pipelines. Data Engineers architect and maintain the underlying infrastructure that BI professionals use for reporting.
What career progression exists within Business Intelligence?
Paths typically move from analyst to senior analyst, then to lead or manager positions overseeing reporting teams. Some professionals shift toward data architecture or strategy roles, while others specialize in particular industries or functional areas.
Is Business Intelligence work repetitive or varied?
The work combines recurring responsibilities like maintaining existing dashboards with new projects analyzing different business problems. Balance depends on the organization—mature companies lean toward maintenance while growing ones demand more greenfield development.
What makes Business Intelligence work frustrating or difficult?
Data quality issues create constant challenges when source systems contain errors or inconsistencies. Stakeholders often request impossible analyses or change requirements mid-project, and urgent requests can interrupt planned work regularly.