Data & BI Analyst (Power BI & SQL)
New
H
hubQuestBusiness intelligence
Workplace type: remote; Locations: Warszawa, Jana i Jędrzeja Śniadeckich 10, Warszawa, Country code: PLFull-TimeMiddle
Salary100 - 120 PLN per hour
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Job Details
- Languages
- Pl C1, en C1
- Experience
- Around 3 years or more of relevant experience
- Required Skills
- SQLGitMicrosoft Power BIData modeling
Requirements
- Around 3 years or more of relevant experience in business intelligence, data analytics or a similar role.
- Hands-on responsibility for SQL and Power BI deliverables.
- Confidence writing and troubleshooting SQL queries with multiple joins, CTEs, aggregations and window functions.
- Practical Power BI experience in data modelling, DAX, Power Query and report development.
- Some hands-on experience with advanced Power BI features such as composite models, calculation groups or row-level security (RLS).
- Understanding of relational and dimensional data modelling, ETL/ELT processes and data quality checks.
- Experience with a version control system such as Git.
- Strong spoken and written English for meetings, discussions, technical explanations, requirements and documentation.
- Ability to work directly with business stakeholders to clarify requests, discuss approaches and challenge assumptions constructively.
- Analytical approach to troubleshooting calculations and tracing data to identify issues.
- Ability to take ownership of assigned work, recognise dependencies and keep others informed.
- Azure Databricks experience is an advantage; familiarity with Azure Data Factory, Microsoft Fabric or Delta Lake is also a plus.
Responsibilities
- Prepare and transform data using SQL, combining sources, cleaning and filtering datasets, aggregating information and implementing KPI calculations.
- Build and maintain Power BI semantic models, DAX measures, reports and visualisations.
- Use advanced Power BI capabilities such as composite models, calculation groups and row-level security when needed.
- Discuss reporting needs with business stakeholders and turn ambiguous requests into clear requirements and agreed outcomes.
- Translate requirements into data definitions, transformation rules and report behaviour.
- Analyse regional differences in KPI definitions and calculation rules while maintaining consistency with agreed exceptions.
- Trace reported figures to their sources, reconcile calculations and explain discrepancies.
- Validate datasets, measures and reports, and support testing, releases and ongoing improvements.
- Collaborate with data engineers and BI developers on data structures, dependencies and reporting-process changes.
- Document definitions, calculation logic and decisions, and help users understand reports and functionality.
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