Live opening · Posted 7 hours ago

Internal Audit Senior Analyst, Data Analytics

Salesforce · 4 Locations
Workday
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At a glance

The key details from the original listing.

Posted 7 hours ago
CompanySalesforce
Location4 Locations
SkillsData Analysis, Python, SQL, Snowflake, AI / ML, Tableau, LLM, Salesforce, CRM, Customer Success
SourceWorkday
ListedPosted 7 hours ago

About the role

Description supplied by the original job listing.

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 Experience
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 Actually Be Doing
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 with control frameworks (e.g., COSO, SOX).
Experience with additional analytics or automation tools.
Exposure to Salesforce's own platform and data model.
Location
This role is ideally based in our Indianapolis, IN office but will also consider Atlanta, GA office. 3 days per week hybrid schedule.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related kn

Skills
Data Analysis, Python, SQL, Snowflake, Artificial Intelligence, Tableau, LLM, Salesforce, CRM, Customer Success

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