What is the median salary for Quantitative Data in Oberlin?

The median salary for Quantitative Data in Oberlin is USD 234,000 - USD 327,000 per year.

How does the Quantitative Data salary in Oberlin compare to the national average?

The national average salary for Quantitative Data in United States is USD 102,045 - USD 137,250, while in Oberlin it is USD 234,000 - USD 327,000.

Based on 6 job listings - Oberlin, United States 2026

Average salary

$234,000 - $327,000

Median salary

$234,000 - $327,000

Lower rangeUpper range

Oberlin

Average salary

234,000 - 327,000

Median salary

234,000 - 327,000

6 job openings

United States

Average salary

102,045 - 137,250

Median salary

102,045 - 137,250

226 job openings

New York27 job openings

Washington10 job openings

Boston9 job openings

Philadelphia7 job openings

Los Angeles6 job openings

Chicago5 job openings

Buffalo4 job openings

San Francisco4 job openings

Cincinnati3 job openings

Dallas3 job openings

Denver3 job openings

Milwaukee3 job openings

Mountain View3 job openings

Vancouver3 job openings

Quantitative Data

6 job openings in Oberlin

The average salary for a Quantitative Data in Oberlin, United States is USD 234,000 - USD 327,000 per year in 2026, based on 6 job listings.

Explore 6 Quantitative Data job listings in United States on BeBee, or check our salary calculator for a personalized estimate.