Principal Data Analyst - Accounting
BestSecret Group
München, Germany
27 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Job source
Tech stack
Microsoft Excel
Data Analysis
Big Data
Power BI
Standard Sql
SAP (Applications)
Tableau (Software)
Looker Analytics
Job description
- Systematically analyze, validate and reconcile large volumes of booking data to identify inconsistencies, outliers, and process gaps
- Detect system-side inconsistencies through structured analytical routines
- Develop and maintain automated control mechanisms to ensure ongoing data quality
- Perform large-scale reconciliations across ERP, BI tools, and other systems
Reporting & Analysis
- Support month-end, quarter-end, and year-end close activities through data-driven checks
- Handle ad-hoc analyses for unexplained booking discrepancies or system anomalies
- Support the Accounting team in developing reporting solutions - both systematic and ad-hoc
Process Optimization & Automation
- Design and implement (semi-)automated validation scripts and control routines to reduce manual effort
- Contribute to identification of process gaps and development of improvement proposalsSupport implementation of ERP changes from a data quality perspective
Requirements
- Degree in Business Administration, Finance, Data Science, or a comparable field
- Experience in data analysis, controlling, or accounting
- Experience with Power BI or comparable BI tools (Tableau, Looker)
- Knowledge of SQL for data analysis
- Strong Excel
- Hands-on experience with ERP systems (SAP preferred) and financial booking data
- Solid understanding of financial accounting processes and booking logic
- Analytical mindset: ability to recognize patterns in large datasets and draw meaningful conclusions
- Fluent English (written and spoken)
Nice-to-Have
- Fluent German
Who You Are
- Detail-oriented with a high personal quality standard - you notice what others overlook
- Structured and self-directed, even with complex or unstructured datasets
- Proactive: you identify problems before they escalate
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