Vice President - Data Analytics
First seen by Alion on Oct 30, 2026.
Key Responsibilities:
- Analytics Strategy & Execution: Design, develop, and execute data analytics strategies across the audit lifecycle (scoping, testing, documentation, and reporting) using SQL, Python, Tableau, and Microsoft Power Platform.
- Audit Assurance & Risk Identification: Support end-to-end audit engagements by querying, analyzing, and interpreting data from complex systems to detect trends, anomalies, and control weaknesses.
- Dashboarding & Insights: Develop, maintain, and enhance Tableau and Power BI dashboards to deliver actionable insights to audit stakeholders and senior leadership.
- Data Validation & Collaboration: Partner with management and business teams to identify data sources, define key data elements, and validate data completeness and accuracy for audit testing.
- Reporting & Stakeholder Management: Prepare and present analytics summaries and insights to audit teams, business partners, and senior management.
- Methodology & Standards: Document all analytics work thoroughly and on time in accordance with Internal Audit methodology and professional standards.
- Culture Champion: Drive a data-driven mindset within Internal Audit to expand audit coverage, depth, and operational efficiency.
- Hybrid Work Compliance: Adhere to the firm's hybrid work model and associated in-office requirements.
Eligibility & Candidate Profile:
Experience & Background:
- Total Experience: 12+ years of overall professional experience.
- Relevant Analytics Experience: Minimum 6 years of hands-on data analytics experience, preferably within Financial Services, Internal Audit, or risk-control functions.
- Domain Requirement: 3rd line Internal Audit experience is mandatory.
Education:
- Bachelor's Degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related field; OR a degree in Accounting, Finance, Business Administration, or Risk Management with relevant data analytics experience.
Technical Stack & Skills:
- Languages & Querying: Proficiency in SQL and Python for data analysis, querying, and automation.
- Visualization & Reporting: Hands-on expertise in Tableau and Power BI dashboard development.
- Platforms: Experience with Microsoft Power Platform.
Plus / Desirable Skills:
- Experience developing or leveraging Artificial Intelligence / Generative AI solutions.
- Workflow automation using Alteryx.
- Exposure to predictive analytics, machine learning models, cloud platforms, or automation tools.
Skills
Data Analytics, Analytics, SQL, Python, Tableau, Power BI, Data Science, Machine Learning, Predictive Analytics