Senior Associate Forensic Data Analytics
Core
Plan and execute forensic data collections from corporate environments to identify fraud, irregularities, and policy violations while preserving digital evidence integrity.
Role type
Senior Associate Forensic Data Analyst
Builds
Forensic data collections, analytical reports, and executive presentations for audits, compliance, and litigation support
Domain
Forensic accounting and digital forensics
Required skills
SQL, Python, Excel, Power BI, ERP systems (SAP, Oracle, TOTVS, Protheus), digital evidence preservation, chain of custody, data integrity algorithms (MD5, SHA-1, SHA-256)
Preferred skills
ACL Analytics, Alteryx, Relativity, Big Data tools (Databricks, BigQuery, Azure Data Lake), cloud environments (Azure, AWS, GCP), fraud prevention, regulatory investigations
Technologies
SQL Server, Python, Power BI, SAP, Oracle, TOTVS, Protheus, Azure, AWS, GCP, Databricks, BigQuery, Azure Data Lake, ACL Analytics, Alteryx, Relativity
Responsibilities
Plan and execute forensic data collections from structured and unstructured corporate environments; Identify, map, and extract data from servers, ERPs, databases, and network shares; Preserve digital evidence integrity using chain of custody procedures; Generate, validate, and document hashes to ensure data authenticity; Structure and consolidate large data volumes for investigative purposes; Develop analyses to identify fraud, irregularities, and policy violations; Conduct integrity, completeness, and reliability tests on investigation data; Create dashboards, forensic reports, and executive presentations; Lead technical teams in corporate investigation projects; Interface with Compliance, Internal Audit, Legal, Information Security, and HR areas
Seniority
Senior, hands-on IC