---
title: 'Data Analyst, Finance and Payments at Handshake'
canonical: 'https://feeny.ai/job/data-analyst-finance-and-payments-handshake-india-x9p5f568dwtq'
type: 'job'
last_seen: '2026-09-09'
---

# Data Analyst, Finance and Payments at Handshake

- **Company:** [Handshake](https://feeny.ai/companies/handshake)
- **Location:** India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-05
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/handshake/11625d7a-36cc-48b9-808a-ae020c0bf535

## Job description

## ABOUT HANDSHAKE

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 1,600 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. We’ve 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 world’s 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.

## ABOUT THE ROLE:

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 Francisco–based team and availability during core U.S. business hours.

## DESIRED CAPABILITIES:

- 3–6+ 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.

## EXTRA CREDIT:

- 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.

## PERKS:

- Generous equity grant, vested over 4 years
- Well-defined performance bonus ranging between 10–100% of base
- Premium medical insurance coverage
- Food credit for every in-person day

## About Handshake

## Company Overview
- **One-liner**: Handshake is the career network for the AI economy, connecting job seekers with internships, full-time roles, freelance gigs, and AI training work through a three-sided marketplace.
- **Entity Type**: Private (Series F; total funding $434M across 6 rounds)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2014
- **Founders**: Garrett Lord (CEO), Ben Christensen, Scott Ringwelski

## Core Business
- **Primary industry**: Career platform / Job marketplace / AI workforce infrastructure
- **Target customers**: B2C (job seekers, from students to experienced professionals) and B2B (employers including 100% of Fortune 500 and all foundational AI labs; also educational institutions)
- **Mission**: Expand access and improve outcomes for job seekers, helping the workforce stay ahead in the AI economy.

## Products & Services
- **Handshake Core Platform**: A three-sided marketplace connecting 25 million knowledge workers, 1,600+ schools, and 1 million employers. Features dynamic profiles, intelligent job matching, and interactive skill-building.
- **Handshake AI Enterprise**: AI-powered tools for employers and job seekers, including AI-driven matching, safety features, and pay management.
- **AI Trainer Gigs**: Paid, flexible, remote work for individuals to train and evaluate AI models (e.g., AI Evaluation Specialist, up to $40/hr) – no prior AI experience required.
- **Handshake Network**: Community events, career advice, and networking for students, experts, and professionals in AI and other fields.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding $434M (6 rounds); annual revenue $56.5M (LinkedIn estimate)
- **Notable Investors/Partners**: Board includes representatives from General Catalyst, Kleiner Perkins, EQT Ventures, True Ventures, and Niantic. Strategic partners include 100% of the Fortune 500 and foundational AI labs.
- **Growth Signals**: Headcount at 5,272 employees (+708.8% YoY per LinkedIn); 1M+ companies on platform; 25M users; expansion into AI trainer gig economy; new roles in HAI (Handshake AI Enterprise) such as Applied AI Engineer, AI Platform Engineer, and Forward Deployed Engineer.

## Competitive Advantages
- **Network effects**: The only three-sided marketplace linking students, employers, and educational institutions at scale.
- **AI-first positioning**: Deep integration of AI into job matching, skill-building, and new freelance training roles – creating a unique ecosystem for the AI economy.
- **Trusted by elite institutions**: 1,600+ partner schools and every Fortune 500 company provides unparalleled reach into early-career talent.

## Strategic Focus
- **AI economy expansion**: Building the “career network for the AI economy” – expanding beyond college students to all knowledge workers, and adding AI training gigs as a new revenue and engagement stream.
- **Product innovation**: Heavy investment in Handshake AI Enterprise (HAI), including AI matching, safety, and pay infrastructure.
- **Global scaling**: Offices in San Francisco, New York, UK, and Bangalore; operating in 32 countries.

## Why Work Here
- **Culture**: Values include “Students first,” “Leave nothing to chance,” “Own the outcome,” “Invent and reinvent,” and “Olympic pace.” Emphasis on ownership, urgency, and constant evolution.
- **Remote/Hybrid policy**: Many roles are based in San Francisco or New York, but some positions (e.g., Trust & Safety Specialist, Support Specialist) are remote in the US. Recent openings show both office and remote options.
- **Benefits**: Health & wellness support, financial support, time off, modern offices with meals, snacks, and social activities. Strong focus on career growth and learning.
- **Career growth**: Rapid headcount growth suggests ample internal mobility; roles range from engineering (ML, AI, data) to customer success, partnerships, and product management.

## Sources
1. [joinhandshake.com/about](https://joinhandshake.com/about/)
2. [joinhandshake.com/careers](https://joinhandshake.com/careers/)
3. [linkedin.com/company/team-handshake](https://www.linkedin.com/company/team-handshake)
4. [joinhandshake.com](https://joinhandshake.com/)

## Other roles at Handshake

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- [AI Red Teamer, Cybersecurity (Remote)](https://feeny.ai/job/ai-red-teamer-cybersecurity-remote-handshake-united-states-5wsaqqbbgaj9) — United States
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- [Senior Manager, Mid Market Sales](https://feeny.ai/job/senior-manager-mid-market-sales-handshake-san-francisco-9rgk1f2scgpa) — San Francisco, CA
- [Staff Product Designer](https://feeny.ai/job/staff-product-designer-handshake-san-francisco-wvywgvhxr8kq) — San Francisco, CA
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- [Forward Deployed Engineer, Handshake AI Enterprise](https://feeny.ai/job/forward-deployed-engineer-handshake-ai-enterprise-handshake-san-francisco-c769agpvmmp7) — San Francisco, CA
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