Responsibilities

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.
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

Qualification

Strong data engineering foundationsHigh attention to detailBachelor’s degree in Computer SciencePrior background as a Data EngineerExperience with Snowflake

Required

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.
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.

Staff Data Analyst (Contract) at Sofi · LumiJobs

Staff Data Analyst (Contract)

Responsibilities

Qualification

Required

Company

Sofi

More roles at Sofi