Internal Audit Senior Analyst, Data Analytics

Salesforce; Indiana (PA); On-site; USD 110,000 - 160,000; Full time

Job summary

Salesforce is seeking an Internal Audit Senior Analyst to design and deliver AI and analytics solutions across the audit lifecycle, from scoping to reporting, leveraging SQL, Python, and Tableau.

You will work with audit teams across ERP, CRM, and financial systems, build AI prompts, create dashboards, and help standardize processes, with a focus on defensible analytics and risk insights.

Qualifications

• 2-4 years of experience in AI, Agentic AI, data analytics, audit analytics, business intelligence, or a related analytical role.
• 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 (e.g., ERP, CRM, ticketing, HR, or financial systems) well enough to assess data lineage, controls, and where risk actually 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 rather than waiting to be asked, flag risk trends, data quality issues, and automation opportunities as you see them.
• Support training and enablement for audit staff on analytics tools, dashboards, and AI-assisted workflows so the broader team can self-serve.
• Document methodology, assumptions, and results so analytics can be re-run, reviewed, and defended by audit leadership and external reviewers.

Skills

SQL

Python

Tableau

LLM systems

AI

Agentic AI

data analytics

audit analytics

BI

Education

Bachelor's degree

Tools

Snowflake

Tableau

Python

Job description

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.
• Develop a working understanding of the business systems in scope (e.g., ERP, CRM, ticketing, HR, or financial systems) well enough to assess data lineage, controls, and where risk actually 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 rather than waiting to be asked, flag risk trends, data quality issues, and automation opportunities as you see them.
• Support training and enablement for audit staff on analytics tools, dashboards, and AI-assisted workflows so the broader team can self-serve.
• Document methodology, assumptions, and results so analytics can be re-run, reviewed, and defended by audit leadership and external reviewers.

You're Our Person If...

• 2-4 years of experience in AI, Agentic AI, data analytics, audit analytics, business intelligence, or a related analytical role. (any or all of the following: Claude/Cursor, 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. You know what it takes to monitor and scale real AI workflows.
• 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.

Even Better If...

• Prior experience in internal audit, external audit, risk management, or compliance analytics.
• Hands-on administration experience with an GRC platform
• Familiarity