Senior Audit Analytics & AI Lead

Salesforce; Indianapolis (IN); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Salesforce is seeking an Internal Audit Senior Analyst in Indianapolis to design and deliver AI‑driven analytics across the full audit lifecycle, building SQL queries, Python scripts, and Tableau dashboards for risk assessment, planning, execution, and reporting.

You will collaborate with audit teams, map data lineage and controls, and advance a defensible audit process in a hybrid 3‑day onsite model.

Qualifications

• 2–4 years of experience in AI, Agentic AI, data analytics, audit analytics, BI, or a related analytical role (Tableau, Snowflake, Python).
• 1–2 years of experience in audit, internal audit, risk security or a related field.
• Experience building and deploying production-grade LLM systems, including agents, tool integration, MCP, retrieval/grounding, and prompt optimization.
• Strong principles around agent engineering, from tool scoping and grounded reasoning to safe failure handling and continuous model evaluation.
• Strong proficiency in SQL for querying and manipulating large, complex datasets.
• Working proficiency in Python for data analysis and scripting.
• Capability to use probabilistic models and tune to behave as deterministically as possible for audit‑defensible results.
• Experience building dashboards or reports in Tableau (or a comparable BI tool).
• Demonstrated ability to learn business systems and processes quickly, gather business requirements directly from stakeholders, and reason about data flow, controls, and risk.
• A proactive, self‑starting approach to identifying and solving problems, not just executing assigned tasks.
• Comfort with basic system administration tasks (user access, configuration) on business platforms such as an eGRC tool.
• Strong written and verbal communication skills, including the ability to train and enable non‑technical colleagues on new tools and workflows.
• Bachelor's degree in a quantitative, business, accounting, or related field, or equivalent practical experience.

Responsibilities

• 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 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.
• Develop a working understanding of the business systems in scope to assess data lineage, controls, and where risk lives.
• Provide light system administration support for the team's GRC and other tooling, including user access, workflow/queue configuration, and basic troubleshooting.
• Proactively identify AI and analytics opportunities and process gaps; flag risk trends and data quality issues.
• Support training and enablement for audit staff on analytics tools, dashboards, and AI-assisted workflows.
• Document methodology, assumptions, and results so analytics can be re-run, reviewed, and defended by audit leadership and external reviewers.

Skills

SQL

Python

Tableau

AI/ML

Audit analytics

Data analytics

Communication

Problem solving

Education

Bachelor's degree in a quantitative, business, accounting, or related field

Tools

GRC tooling

ERP/CRM systems

Job description

Salesforce is seeking an Internal Audit Senior Analyst in Indianapolis to design and deliver AI‑driven analytics across the full audit lifecycle, building SQL queries, Python scripts, and Tableau dashboards for risk assessment, planning, execution, and reporting.

You will collaborate with audit teams, map data lineage and controls, and advance a defensible audit process in a hybrid 3‑day onsite model.