About this role
Handshake is seeking a skilled professional for the Data Analyst, Finance and Payments position located in India. This role focuses on building critical data infrastructure and reporting to drive financial and operational decisions for the company.
Role Overview
Handshake is looking for a Data Analyst to support the Finance and Central Operations organization. This position merges analytics, data engineering, and applied data science to turn complex operational data into dependable financial insights. Sitting within the Finance team, the professional in this role will also work closely with the Payment Operations team to enhance data, controls, and automation for high-volume payment systems. Candidates must collaborate directly with the San Francisco-based team and remain available during core U.S. business hours.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Handshake was founded on the principle that everyone deserves a pathway to a fulfilling career regardless of their school or network. Today, the organization supports millions of job seekers, employers, and educational institutions. Handshake AI works alongside frontier AI lab researchers to construct evaluations, publish benchmarks, and advance data boundaries.
How to Apply
Interested candidates should visit the official Handshake careers page to submit an application for this opportunity.
Skills and tech stack
Questions candidates ask
Where is this job located?
The position is based in India, with a requirement to collaborate closely with the San Francisco-based team and be available during core U.S. business hours.
What department does this role belong to?
This role sits within the General and Administrative department, specifically reporting to the Finance team while partnering with Payment Operations.
How many years of experience are required?
The role requires 3 to 6+ years of professional experience in data analytics, analytics engineering, data engineering, financial analytics, or a related field.
What programming languages or tools are needed?
Applicants must have experience with Python or another analytical programming language. Additional desirable tools include advanced SQL, Snowflake, and dashboarding platforms like Looker, Tableau, or Power BI.
What perks and benefits are offered?
Benefits include a generous equity grant vested over four years, a performance bonus ranging from 10% to 100% of the base pay, premium medical insurance, and food credits for in-person work days.