Senior
Salesforce, Inc. · Indianapolis, Indiana · Hybrid
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Design and deliver AI driven audit analytics and dashboards to support internal audit engagements across the audit lifecycle.
Worth knowing: 3 days per week hybrid schedule
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. The Opportunity We're looking for a Internal Audit Senior Analyst to design and deliver AI and analytics solutions that support Internal Audit engagements end to end, from scoping and data extraction through analysis, visualization, and reporting. You'll work directly with audit teams across the full audit life-cycle (risk assessment, planning, execution, and reporting), building AI logic, SQL queries, Python scripts, and Tableau dashboards that make the audit process more defensible. This role calls for experience with SQL and AI/ML, hands-on use of AI and AI coding tools as well prior audit and related experience to accelerate analysis, documentation, and work paper development, plus some administration of the team's audit tooling. What You'll Do Partner with Internal Audit teams throughout the audit lifecycle, building and applying the right solutions and capabilities. Develop optimized SQL queries and AI system prompts (.md) to seamlessly extract, profile, and reconcile high-volume data from financial, operational, and source platforms. Build Python and other scripts for data cleaning, transformation, and repeatable audit testing (e.g., exception testing, continuous assurance/monitoring). Use AI tools and other capabilities to speed up data analysis, summarize findings, draft work papers, and build lightweight internal tooling. Design clear, audit-ready visualizations and dashboards in Tableau that communicate risk and findings to both technical and non-technical stakeholders.
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