Jobs / United States / Social Finance INC
Staff Data Analyst - Internal Audit
Social Finance INC · 🇺🇸 United States
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 186 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 49 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 Social Finance INC paid sponsored hires in similar roles1 certified filing for “Fraud Data Analyst, Fraud Platform Integrity” (Data Scientists) in NC: $120k–$120k, median $120k. 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 — Social Finance INC
The US Department of Labor certified 186 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 49 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 Social Finance INC →
About the role
Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role: SoFi is seeking a Staff Data Analyst – Internal Audit to join the SoFi Internal Audit (IA) Department, reporting to the Manager, Data Analytics, Internal Audit. You will support the development and execution of data analytics solutions that enhance audit planning, risk assessments, audit testing, continuous monitoring, and departmental reporting. This is a hands-on role for an analytical and curious professional who is interested in applying data, technology, and business knowledge to support Internal Audit. You will work closely with audit teams, data owners, and business stakeholders to analyze data, identify trends and anomalies, improve audit efficiency, and communicate meaningful insights. The role will provide opportunities to develop technical, audit, and stakeholder-management skills while contributing to the continued growth of Internal Audit’s data analytics capabilities. What you’ll do: ● Partner with audit teams to identify opportunities to use analytics throughout the audit lifecycle, including planning, fieldwork, reporting, and monitoring activities. ● Assist with the development and enhancement of automated testing routines and recurring monitoring processes. ● Create and maintain dashboards, visualizations, and reports that communicate audit results, risk indicators, and monitoring outcomes. ● Work with data owners and stakeholders to understand business processes, data structures, definitions, and data-quality considerations. ● Document analytics procedures, assumptions, data sources, testing logic, and results in accordance with Internal Audit standards. ● Stay informed about emerging analytics, automation, and audit technologies and identify opportunities to improve Internal Audit processes. ● Demonstrate curiosity and a willingness to learn emerging technologies, including artificial intelligence, machine learning, automation, and advanced analytics. ● Explore and evaluate opportunities to responsibly apply AI and other emerging technologies to improve audit planning, testing, monitoring, reporting, and operational efficiency. ● Assist with developing, testing, and documenting AI-enabled or automated solutions that support Internal Audit activities. What you’ll need: ● 1+ years of experience in Data Analytics and Internal Audit, Risk Management, Data Science, Compliance, or a related field. ● Experience using analytics and programming tools such as SQL, Python, Excel, Alteryx, R, or similar technologies. ● Experience extracting, preparing, analyzing, and validating data from large or complex datasets. ● Experience developing reports, dashboards, analyses, or automated processes using data. ● Familiarity with data visualization and business intelligence tools such as Tableau, Power BI, or similar platforms. ● Strong analytical and problem-solving skills, with the ability to identify trends, inconsistencies, and meaningful insights. ● Ability to clearly document analytical procedures, findings, assumptions, and conclusions. ● Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical