AI-Driven Internal Audit Analyst — Data Analytics

Salesforce; Chicago (IL); Hybrid; USD 99,000 - 150,000; Full time

Job summary

Salesforce is seeking an Internal Audit Senior Analyst to design and deliver AI and analytics solutions across the complete audit lifecycle, including scoping, data extraction, analysis, and reporting. You will create SQL queries, Python scripts, and Tableau dashboards for defensible audit work papers and findings.

You will partner with Audit teams, deploy production-grade LLMs, and monitor data quality while expanding internal tooling and training to the broader team.

Qualifications

• 2–4 years of experience in AI, Agentic AI, data analytics, audit analytics, BI, or a related analytical role.
• 1–2 years of experience in audit, internal audit, risk security, or a related field.
• Experience building production-grade LLM systems and agents.
• Strong proficiency in SQL for large datasets.
• Proficiency in Python for data analysis and scripting.

Responsibilities

• Partner with Internal Audit teams across the lifecycle to apply AI solutions.
• Develop optimized SQL queries and AI prompts to extract and profile high-volume data.
• Build Python scripts for data cleaning, transformation, and testing.
• Create AI-enabled dashboards and lightweight internal tools.
• Design audit-ready visualizations in Tableau communicating risk to stakeholders.
• Understand business systems to assess data lineage and risk.
• Provide light system administration for GRC tooling and access.
• Identify AI opportunities and data quality issues, and assist training of staff.
• Document methodology and results for audit leadership and reviewers.

Skills

SQL

Python

Tableau

AI/ML

LLM systems

Data analytics

Dashboard development

Stakeholder communication

Education

Bachelor's degree in quantitative/related field

Tools

Tableau

Job description

Salesforce is seeking an Internal Audit Senior Analyst to design and deliver AI and analytics solutions across the complete audit lifecycle, including scoping, data extraction, analysis, and reporting. You will create SQL queries, Python scripts, and Tableau dashboards for defensible audit work papers and findings.

You will partner with Audit teams, deploy production-grade LLMs, and monitor data quality while expanding internal tooling and training to the broader team.