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Robert Siek

Data Analyst @Dentons

Warsaw, PL
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Feb 2024 — Present

Data Analyst @Dentons

Warsaw, PL

Analyzed and validated financial and operational data across multiple enterprise systems. • Developed SQL-based validation and reconciliation checks to identify inconsistencies and anomalies. • Investigated data quality issues and supported issue triage with technical and business teams. • Prepared structured datasets used for financial reporting and downstream analytics. • Reconciled financial datasets including invoices, client data and settlements. • Supported data migration and validation processes ensuring data integrity across systems.

EDUCATION

2007 — 2008

Rathmines College

Fetac 5, English and Information Technology

2014 — 2015

National College of Ireland

Higher Diploma in Science in Data Analytics (NQF Level 8), Data Analytics

2008 — 2010

Rathmines College

Higher National Diploma, Business and Marketing

2010 — 2012

Technological University Dublin

Bachelor of Business (honours), Management

SKILLS

Microsoft ExcelData AnalysisRTeamworkSqlPythonCustomer ServiceManagementMicrosoft OfficeSalesLogisticsMicrosoft WordPowerpointSpssMarketingCorporate FinanceBusiness AnalysisStatisticsDatabasesAnalytic Problem SolvingBig DataAnalytics

ABOUT ROBERT SIEK

Data Analyst with 8+ years of experience working with large, complex datasets across finance, media and FMCG industries. Specialized in data quality, data validation and analysis within multi-source environments, ensuring reliability and consistency of data used in reporting, analytics and operational processes. Strong hands-on experience with SQL, Python, ETL processes, and cloud-based data platforms (Azure, GCP, AWS). Experienced in working with large transactional datasets, supporting financial processes, data migrations and validation across systems. Comfortable collaborating with both technical teams (data engineers, analysts) and business stakeholders, translating data issues into clear insights and solutions. Key areas of expertise: • Data Analysis & Data Quality • SQL-based Data Validation • ETL & Data Pipeline Monitoring • Data Reconciliation & Anomaly Detection • Financial & Transactional Data • Cloud Platforms (Azure, GCP, AWS)

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