below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$165,000–$228,787.
Based on 240 similar postings.
Employer
About SoFi
SoFi Technologies is a fintech company offering student and personal loans, mortgages, credit cards, investing, banking, and insurance products, positioning itself as a one-stop financial services platform. Industry: Financial Technology & Personal Finance
SoFi currently has
15 open roles
on FindRole.
Listed pay typically runs
$172,800–$233,750
across 12 roles with salary data.
The Staff Data Analyst (Contract) joins the CTO Business Operations team to manage people-data pipelines and resource reporting for the Engineering, Product, and Design organization. This role involves owning data engineering, transforms, and reporting systems for over 2,000 employees, specifically focusing on headcount, organizational mapping, and resource planning. You will build automated Workday API integrations, maintain cross-system reconciliations between HRIS and FP&A, and develop repeatable data models to eliminate manual spreadsheet toil. Key technologies include SQL, Python, Apps Script, TypeScript, and Google Sheets, alongside modern AI coding tools like Cursor and Claude. You will solve complex business operations problems by translating workforce inputs into structured metrics, supporting software development capitalization, and providing actionable insights for leadership regarding squad composition and capacity.
What does a Data Analyst earn?
Median $126750 from 74 postings across 21 companies.
Build and maintain automated people-data pipelines and Workday report transforms for the EPD organization.
Develop and manage resource reporting tools to automate headcount, squad mapping, and seat management.
Create clean, repeatable data models and scripts to eliminate manual spreadsheet tasks for operational datasets.
Manage EPD operating calendars and recurring readiness milestones for leadership forums.
Support quarterly and annual headcount planning, scenario modeling, and variance analysis.
Execute the quarterly software development capitalization and labor allocation process with Finance and Accounting.
Perform ad-hoc analyses on organizational structure and workforce deployment to inform executive decisions.
Translate complex workforce inputs into structured metrics and actionable narratives for CTO leadership.
What we're looking for
4 to 7+ years of experience in data engineering, analytics engineering, technical business operations, or data analysis.
Proven ability to ingest, clean, transform, and reconcile multi-source datasets using SQL, Python, and advanced Google Sheets or Excel.
Hands-on experience with Workday people data, custom reports, org hierarchies, and HRIS-to-planning reconciliations.
Fluency with modern AI coding and data tools to accelerate pipeline development and data cleaning.
Track record of building and maintaining reliable internal tools, automated workflows, or operational dashboards for technical and executive stakeholders.
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 (preferred).
Experience with Snowflake, Jira, and connecting project or engineering telemetry with workforce and resource data (preferred).