Senior Business Intelligence & Data Analytics Analyst (Internal Audit)

American IT Systems•Austin, TX

4d•Onsite

About The Position

We are seeking a highly analytical Senior Business Intelligence & Data Analytics Analyst to join the Global Internal Audit team. This individual contributor role will be responsible for designing, developing, and delivering advanced analytics and AI-enabled solutions that strengthen audit effectiveness, improve risk identification, and generate actionable business insights. The ideal candidate will possess strong expertise in SQL, Python, business intelligence tools, data governance, and audit analytics while collaborating closely with audit teams and business stakeholders to build scalable, audit-ready analytical solutions.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Statistics, or a related field.
5+ years of experience in Business Intelligence, Data Analytics, Audit Analytics, or related analytical roles.
Advanced SQL for complex querying, data extraction, and optimization.
Strong Python programming for data preparation, automation, validation, and analytics.
Experience with statistical analysis and analytical methodologies.
Hands-on experience with Tableau and/or Microsoft Power BI.
Experience designing and supporting data pipelines and ETL/data transformation processes.
Strong understanding of data modeling and reporting best practices.
Experience developing reusable analytical assets and documentation.
Familiarity with AI-assisted development tools such as GitHub Copilot, Claude Code, or similar code-generation platforms.
Experience using Jira and Confluence for Agile project management and documentation.
Strong proficiency with Microsoft Office 365.

Nice To Haves

Master's degree in Data Science, Business Analytics, Statistics, or a related discipline.
Experience supporting Internal Audit, SOX compliance, Risk Management, or Finance organizations.
Exposure to Microsoft Copilot Studio.
Working knowledge of React.
Experience with Internal Audit analytics.
Knowledge of SOX compliance and Internal Controls over Financial Reporting (ICFR).
Understanding of IT General Controls (ITGC).
Familiarity with risk management and enterprise controls frameworks.
Experience leveraging AI tools for analytics automation and productivity improvements.
Excellent analytical and problem-solving abilities.
Strong written and verbal communication skills.
Ability to explain technical findings to non-technical stakeholders.
Strong attention to detail and commitment to data accuracy.
Excellent organizational and documentation skills.
Ability to manage multiple priorities in a fast-paced environment.
Self-driven with the ability to work independently.
Strong collaboration and stakeholder management skills.

Responsibilities

Design, develop, and deliver advanced analytics and AI-enabled solutions to improve audit coverage, risk identification, and operational insights.
Translate complex audit and business requirements into scalable, defensible, and actionable analytical solutions.
Partner with Internal Audit teams and business stakeholders to integrate analytics into audit planning, execution, SOX reviews, operational audits, and enterprise risk initiatives.
Build dashboards, reports, and visualizations using Tableau and Power BI.
Develop automated data preparation, validation, and reporting processes using SQL and Python.
Ensure high standards of data governance, privacy, security, and quality throughout the analytics lifecycle.
Perform data reconciliation, validation, and traceability checks to ensure audit-ready outputs.
Estimate effort, prioritize work, and independently manage multiple analytics initiatives.
Develop reusable analytics frameworks, templates, and documentation to improve consistency across audit engagements.
Support continuous improvement initiatives by identifying opportunities for automation and AI adoption.
Mentor junior analysts and promote analytics best practices across the team.
Collaborate within Agile teams by participating in sprint planning, backlog refinement, stand-ups, and retrospectives.