Iβm a Business Data Analyst with over 5 years of experience in data analytics, reporting, and data architecture, driving data-led decision-making across the technology and FMCG sectors.
At ECO3 (Warsaw), I manage and optimize our data ecosystem , analyzing raw SAP data, building Power BI dashboards, and ensuring data accuracy and reliability across multiple systems. I also play a key role in shaping our future data landscape, including the development of a new Azure (Fabric) Data Lake.
My work involves:
πΉ Improving existing data environments, identifying and fixing issues in complex pipelines.
πΉ Managing 10+ ongoing projects to build reports, automate workflows, and standardize data processes.
πΉ Achieved 99%+ data accuracy across complex multi-system pipelines
πΉ Collaborating with global stakeholders to improve data understanding, trust, and governance.
πΉ Supporting cross-functional teams through data documentation, database design, and technical enablement.
Before ECO3, I worked at NielsenIQ, where I supported large-scale client data solutions for Switzerland and Austria as a Client Solution (Database) Architect. I was recognized with the βDriven to Win (Passion)β award for leading process improvements and onboarding initiatives that enhanced operational efficiency and data quality.
Iβm proficient in SQL, Power BI, Excel (VBA), Python, Tableau, and SAP, with growing expertise in Azure and data architecture. Iβm passionate about solving complex data challenges, creating scalable reporting systems, and helping teams make confident, data-driven decisions.
NielsenIQ Enterprise Analytics Journey β NielsenIQ
Master page linking all NielsenIQ repositories.
Reporting & Analytics Foundation
SQL-based analytics & Excel RTL templates.
BI Transformation & Data Lake Migration
Migration of legacy reports to Discover and customer enablement.
Database Architecture & Business Translation
Database modeling, hierarchy management, and business translation.
ECO3 Enterprise Analytics Journey β ECO3
Master page linking all ECO3 repositories.
Legacy Discovery & Reporting Foundation
Mapping legacy environment & establishing report ownership.
Operational BI Ownership & Business Analytics
Power BI ownership, data trust restoration, stakeholder enablement.
Pricing, Software & Service Analytics
Unified Sales Analytics App β Pricing, Software Revenue, Service KPIs.
Data Engineering & BDM 2.0 Future Architecture
Automation, Python transformation, Microsoft Fabric, AI-ready future state.
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