Senior Data Ops Analyst, Compliance & Financial Crime

Deutsche Bank; United States; On-site; USD 9,600 - 16,000; Full time

Job summary

Deutsche Bank seeks a Data Operations Analyst to support the Compliance Anti-Financial Crime data framework. You will manage data sourcing, quality controls and ETL processes to enable risk analytics and MI reporting.

The role emphasises data governance, catalogues and clear documentation for auditability and resilience. Strong Excel, ETL, Tableau skills and experience with data repositories and metadata are essential.

Qualifications

• Advanced Microsoft Excel, with complex formulas, PivotTables and VBA macros for automation.
• Experience with data extraction, transformation and loading (ETL) processes and data accuracy.
• Strong understanding of data governance, metadata, lineage and data quality.

Responsibilities

• Execute manual data sourcing and secure collection of data from providers within the Bank.
• Perform data quality controls to ensure completeness, accuracy and timeliness of risk data.
• Manage ETL processes for data used in risk reporting and ensure proper structuring for analysis.
• Maintain data distribution dashboards (Tableau) for MI reporting and risk oversight.
• Govern data assets, repositories, catalogs and metadata for clear data lineage.
• Create and maintain process documentation and desktop procedures for resilience.
• Implement change control for data processes and reporting.
• Support integration of new data sources and capabilities for analytics and MI reporting.

Skills

Excel advanced & VBA

ETL data handling

Data governance

Tableau

Education

Degree-level education preferred

Tools

Tableau

Power BI

Data catalogs

Data repositories

Job description

Deutsche Bank seeks a Data Operations Analyst to support the Compliance Anti-Financial Crime data framework. You will manage data sourcing, quality controls and ETL processes to enable risk analytics and MI reporting.

The role emphasises data governance, catalogues and clear documentation for auditability and resilience. Strong Excel, ETL, Tableau skills and experience with data repositories and metadata are essential.