Jobs / United States / Social Finance INC

Social Finance INC

Staff Data Analyst (Contract)

CA - San Francisco HQ; NY - New York City Posted today

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Skills this job asks for

Data engineeringLeadershipReconciliationHRRecruitmentSQLPythonAuditAccounting

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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.
  • 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.
  • 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.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
1 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).

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.

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: The CTO Business Operations team enables SoFi’s Engineering, Product, and Design (EPD) organization to execute with operational rigor, financial discipline, and organizational clarity. We build and run the people-data pipelines, internal org tooling, and operating cadences that turn complex workforce and resource data into clear operational systems for the CTO and EPD leadership. As a Data Analyst, you will own the data engineering, transforms, and reporting systems behind EPD headcount, organizational mapping, and org-wide resource reporting (~2,000+ people across Technology and Product). We are looking for a builder with strong data engineering foundations who wants to apply technical rigor to business operations: automating Workday people-data pipelines, evolving our resource reporting tools toward live API integration and self-serve leader workflows, running operating calendars, and supporting resource planning and software capitalization. What you’ll do: • People Data Pipelines & Resource Reporting • Own and evolve our internal org and squad resource reporting (~2,000+ people across Engineering, Product, and Design), driving reliable biweekly refreshes and high data integrity. • Partner on the next evolution of our resource reporting tooling, moving from manual spreadsheet round-trips toward automated Workday API ingestion and interactive drag-and-drop seat management for engineering leaders. • Build and maintain automated people-data pipelines, Workday report transforms, and cross-system reconciliations across HRIS (Workday), Talent Acquisition, FP&A, and EPD rosters. • Maintain accurate org mapping across divisions, groups, and squads, tracking hiring progress, backfills, contingent workers, team movements, and capacity impacts. • Data Engineering, Automation & AI-Enabled Analytics • Take messy, multi-source operational datasets and build clean, repeatable data models, scripts, and validation checks that eliminate manual spreadsheet toil. • Use modern AI coding and analysis tools alongside SQL, Python (or equivalent scripting), and Google Sheets to rapidly prototype tooling, automate recurring reporting, and audit data quality. • Ensure strong data governance, schema consistency, and clear documentation across CTO Business Operations datasets and tools. • Operating Rhythms, Resource Planning & Capitalization • Manage and consolidate EPD operating calendars, leadership forum rhythms, and recurring readiness milestones across Technology and Product. • Support quarterly and annual headcount, contingent-worker, and resource planning cycles with clean baseline data, scenario models, and variance analysis. • Support the quarterly software development capitalization and labor allocation process in partnership with Finance, Accounting, and engineering leaders. • Perform ad-hoc analyses on organizational structure, squad composition, and workforce deployment to inform CTO leadership decisions. • Cross-Functional Partnership • Partner closely with CTO Business Operations, EPD leaders, People Partners, HRIS, Talent Acquisition, and Strategic

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