Finance is consistently one of the highest-paying industries for data analysts. These roles combine analytical skills with domain expertise in financial modeling, risk assessment, regulatory reporting, and investment analysis. Opportunities span traditional banking, fintech startups, insurance, and investment firms.
$80,000 – $120,000/year
One of the highest-paying analyst verticals. Senior roles at top firms exceed $130K.
Galderma — Toronto, ON
NYC Department of Health and Mental Hygiene — QUEENS, NY
New Seasons Market — Portland, Oregon
SimVentions — US-VA-Dahlgren
The Rhode Island Public Health Institute — Providence, RI
Danone — Dallas, TX
J.B. Hunt Transport Services, Inc. — Lowell, AR
TE Connectivity — Czech Republic | Mazowieckie Poland
Marathon Petroleum Corporation — San Antonio, TX
Collēctīvus Holdings — Remote
Financial data analysts earn between $80,000 and $120,000 per year, with senior roles at top firms exceeding $130K. The finance sector values analysts who can work with large transaction datasets, build financial models, and understand regulatory frameworks. Common tools include SQL, Excel (advanced financial modeling), Python, and specialized platforms like Bloomberg Terminal. Fintech companies tend to offer more modern tech stacks and competitive equity packages, while traditional banks offer stability and structured career ladders. Key areas of specialization include fraud detection, credit risk modeling, portfolio analytics, and compliance reporting. An understanding of financial concepts like DCF analysis, risk metrics, and P&L statements gives you a significant edge over generalist analysts.