Jobs / United States / Salesforce INC
Internal Audit Senior Analyst, Data Analytics
Salesforce INC · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Salesforce INC paid sponsored hires in similar roles2 certified filings for “Senior Data Analyst, GFM Analytics” (Data Scientists) in IN: $104k–$107k, median $106k. Most were filed at wage level II (100%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Salesforce INC
The US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 498 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Salesforce INC →
About the role
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