Data & Analytics Audit

Artius Solutions

  • NULL, MN
  • 4 days ago
  • Remote
  • $70–$80

Highlights

The ideal candidate will bring a strong combination of internal audit experience, global banking expertise, and hands-on technical capabilities with SQL and Python . Schedule: 40 hours per week Job Description We are seeking a skilled Data, Analytics, and Reporting Audit professional to support audit work within a large global banking environment.

Numbers & Facts

LocationNULL, MN (
Remote
)
Salary$70–$80

Description

Data & Analytics Audit
Location: Remote (EST hours)
Level: Manager
Schedule: 40 hours per week
Job Description
We are seeking a skilled Data, Analytics, and Reporting Audit professional to support audit work within a large global banking environment. The role focuses on validating regulatory remediation efforts and ensuring compliance with regulatory requirements and internal standards for data, reporting, and analytics applications.
The ideal candidate will bring a strong combination of internal audit experience, global banking expertise, and hands-on technical capabilities with SQL and Python.
Key Responsibilities
  • Audit data management systems, data processing solutions, and data consumption processes.
  • Review and validate data-processing code written in languages such as Python.
  • Audit SQL statements used to process and transform data and generate results.
  • Audit Database Management Systems (DBMS) and related data-management processes.
  • Review reporting and analytics solutions, including derived data creation, data cubes, reports, and ad hoc analytics activities.
  • Audit access controls and other protections around sensitive data.
  • Audit data lineage as it flows through data-processing, data-management, reporting, and analytics systems.
  • Perform testing of bank-developed controls where necessary.
  • Review and validate SQL queries and Python code from an audit and controls perspective.
  • Support regulatory remediation and issue-validation efforts.
Qualifications
  • 7+ years of experience auditing data, data processing, and reporting/analytics systems.
  • Strong internal audit experience within banking or financial services.
  • Strong hands-on SQL experience.
  • Ability to read, understand, review, and validate Python code.
  • Experience with data lineage, data transformations, source-to-target reconciliations, and data-quality testing.
  • Consent order and/or issue-validation experience is preferred.
  • Experience with reporting and analytics technologies such as Alteryx is preferred.
  • Strong audit documentation, communication, and writing skills.
  • Ability to perform technical validation of code while maintaining an audit-focused approach.

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