Data Analyst, Finance and Payments
Job Summary
Handshake was founded on a simple belief that everyone deserves a path to a great career regardless of where they went to school or who they know. Today we power 25 million job seekers 1 million employers and 1600 educational institutions.
In 2025 we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations publish benchmarks and push the boundary of data. Weve grown from $0 to $1B run rate and pay $60M to over 30K individuals every month.
Why join Handshake now:
Shape how every career evolves in the AI economy at global scale with impact your friends family and peers can see and feel
Partner hand-in-hand with world-class AI labs Fortune 500 partners and the worlds top educational institutions
Work together with engineers scientists operators and more from Palantir Meta Scale AI and former YC founders
Build a massive fast-growing business with billions in revenue
About Handshake AI
Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs working on their most complex data at the largest scale.
We are looking for a Data Analyst to support the Finance and Central Operations organization and help build the data infrastructure reporting and analytics that power financial and operational decision-making.
This role combines analytics data engineering and applied data science with a strong focus on translating complex operational data into reliable financial insights. While reporting within the Finance team this role will also partner closely with the Payment Operations team helping improve the data controls and automation behind high-volume payment processes.
This role requires close collaboration with our San Franciscobased team and availability during core U.S. business hours.
36 years of experience in data analytics analytics engineering data engineering financial analytics or a related field.
Build and maintain scalable Finance and Operations dashboards and reporting across revenue project expenses margins cash flows payments and other key financial and operational metrics.
Develop automated data pipelines across systems that bring together information from financial operational and business systems.
Identify and execute opportunities to automate existing financial reporting processes reducing manual effort and improving the consistency and reliability of recurring deliverables.
Contribute to the buildout of finance data infrastructure automate recurring reporting and reduce reliance on manual spreadsheet-based processes.
Partner with Payment Operations to build reporting and analytics around payment volumes accuracy exceptions disputes and processing performance.
Develop automated reconciliations and controls to identify missing duplicate incorrect or unusual payments.
Support the investigation and resolution of payment discrepancies through data analysis.
Help improve and automate payment workflows including data validation and exception management.
Partner with Finance and Operations stakeholders to translate business questions into data models dashboards and actionable analysis.
Establish documentation data definitions and controls that improve the reliability and auditability of Finance and Payments reporting.
Experience with Python or another analytical programming language.
Advanced SQL skills and experience working with large datasets.
Experience building dashboards and reporting using tools such as Hex Looker Tableau Power BI or similar.
Familiarity with modern data warehouses and transformation tools such as Snowflake BigQuery Databricks or similar.
Strong understanding of data modeling data quality reconciliation and automation.
Ability to understand financial and operational processes and translate them into technical solutions.
Strong analytical mindset and ability to independently investigate discrepancies and ambiguous data problems.
Experience working with Finance teams strongly preferred.
Experience with payment operations high-volume contractor payments or other transaction-heavy environments is a plus.
Generous equity grant vested over 4 years
Well-defined performance bonus ranging between 10100% of base
Premium medical insurance coverage
Food credit for every in-person day
Required Experience:
IC
About Company
The better career platform for Gen Z changing how, where, and why the next generation of talent builds their career.