Sr. Specialist, Internal Audit Analytics

Banco Santander•Boston, MA

11d

About The Position

The Sr. Specialist, Internal Audit Analytics plays a critical role within the Internal Audit function by leveraging data analytics, automation, and visualization to enhance audit effectiveness, identify risk patterns, and strengthen control insights across the organization. This is not a pure data science role — it’s a hands-on audit analytics position that combines strong technical skills with a deep understanding of internal audit principles, processes, and objectives. You’ll sit at the intersection of data and assurance, helping Internal Audit evolve from traditional testing to data-enabled risk intelligence. Your work will directly influence how the company identifies, monitors, and mitigates risk using data.

Requirements

Bachelor’s degree in Accounting, Finance, Information Systems, Data Analytics, or a related field required.
3+ years of experience in internal audit, risk management, or compliance with hands-on use of analytics tools.
Proven ability to apply data analytics within an audit or risk framework (e.g., control testing, population analysis, exception identification).
Strong proficiency with SQL, Python, SAS, or R for data extraction and analysis.
Experience with data visualization tools (Tableau, Power BI, or similar).
Understanding of internal control frameworks (COSO, SOX, etc.) and audit methodologies.
Ability to translate audit objectives into analytical queries and automated testing scripts.
Excellent communication skills — able to bridge the gap between data specialists and audit professionals.

Nice To Haves

Advanced degree or certification (e.g., CIA, CPA, CISA, CFE, or data analytics certification) preferred.
Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

Responsibilities

Partner with internal audit teams to design, develop, and implement data-driven audit procedures and continuous monitoring routines.
Use data analytics and visualization tools (SQL, Python, SAS, Tableau, Power BI, etc.) to extract, transform, and analyze data from multiple systems.
Support audit engagements through risk assessment, control testing, and process analytics that uncover anomalies, trends, and potential control breakdowns.
Automate manual audit testing procedures using scripts, dashboards, and repeatable models to increase audit efficiency.
Present analytical findings in a clear, actionable way to non-technical audit stakeholders and senior management.
Collaborate with audit leaders to identify opportunities for data enablement and innovation across the audit lifecycle.
Ensure compliance with internal audit methodology, risk frameworks, and regulatory expectations.
Maintain up-to-date knowledge of data analytics trends, tools, and internal audit best practices.