The company is a global technology firm that helps manufacturers become more productive, sustainable and agile. It has more than 28,000 employees.
You will join the LCS Business Intelligence team. The role is hybrid, with an office in Katowice or Gdańsk.
As a BI analyst you will build Power BI solutions end to end, covering data modelling, report design, performance tuning and governance. Your work turns business needs into clear, data-based stories that support decisions across global partners.
Responsibilities
Turn business requirements into BI solutions that scale and make a real impact.
Build, update and manage Power BI dashboards, reports and semantic data models for company-wide use.
Apply dimensional modelling practice, including star schemas and semantic model design.
Use Power Query, DAX and relational data principles to build and improve data models.
Check that data is accurate, consistent and validated across reports and datasets.
Tune datasets for model size, refresh speed and query speed.
Align reporting with standard KPI definitions and business frameworks.
Create and maintain reusable, governed datasets and data models.
Find and fix data quality issues together with data owners.
Requirements
A data-first mindset and strong analytical skills.
Hands-on experience building scalable BI solutions with Power BI, Power Query and enterprise data platforms such as Azure SQL, SharePoint, Dataverse and Databricks.
Ability to turn business requirements into practical insights.
Knowledge of SAP and Salesforce.
Essentials: a bachelor's degree in a relevant field.
Essentials: 5+ years of experience in enterprise Power BI environments.
Preferred: hands-on skill with Power BI Desktop, Power BI Service, Power BI Report Server and Power Query.
Preferred: experience writing, tuning and optimising DAX queries, calculated measures and tables.
Preferred: experience building star and snowflake schemas, tabular models and semantic layers.
Preferred: advanced SQL, stored procedures and performance tuning on SQL Server, Azure SQL or Databricks.
Preferred: experience connecting to varied data sources, ETL, and automated incremental refreshes.