Staff Data Analyst (Contract)

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 Finance to keep staffing, org structure, and capacity data aligned.
  • Translate complex engineering and workforce inputs into structured metrics, clear narratives, and actionable recommendations.
  • Support executive-level summaries, dashboards, and operating materials for CTO leadership.

What You’ll Need:

• 4 to 7+ years of experience in data engineering, analytics engineering, technical business operations, or data analysis (targeting Staff level, or a strong Senior level with demonstrated technical depth).
• Strong data engineering foundations: proven ability to ingest, clean, transform, and reconcile messy, multi-source datasets using SQL, Python (or Apps Script / TypeScript), and advanced Google Sheets / Excel.
• Hands-on experience with Workday people data, custom reports, org hierarchies, and HRIS-to-planning reconciliations, with the ability to work toward API-driven data integrations.
• Fluency with modern AI coding and data tools (e.g., Cursor, Claude, Copilot, LLM workflows) to accelerate pipeline development, data cleaning, and tooling, paired with strong judgment on output accuracy.
• Track record of building and maintaining reliable internal tools, automated workflows, or operational dashboards for technical and executive stakeholders.
• High attention to detail, operational rigor, and ownership mindset: you spot reconciliation gaps before leaders do and drive them to zero.
• Strong written and verbal communication skills, with the ability to operate independently in a fast-paced, ambiguous environment.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, Finance, Economics, or equivalent practical technical experience.
• Bonus Points:
  • Prior background as a Data Engineer, Analytics Engineer, or HRIS / People Data Systems Engineer looking to build business and executive operations acumen.
  • Experience with Snowflake, Jira, and connecting project or engineering telemetry with workforce and resource data.
  • Experience building lightweight web interfaces, Apps Script automations, or interactive internal tools.
  • Familiarity with engineering org structures (squads, pillars), contingent workforce operations, or software development capitalization.