$110,000
median · per year, annualized USD
$187,500
median · per year, annualized USD
Senior Data Analyst
Senior Product Data Analyst
Financial Crimes & Risk Data Analyst
Senior Data Analyst
Senior Data Analyst
Senior Data Analyst
Senior Marketing Analyst, Strategy & Analytics
Senior Marketing Analyst, Strategy & Analytics - US-Based
Software Engineer, Macro Quant Analytics Technology
Data Analyst II
Senior Machine Learning Engineer, DevOps/SRE
Staff Machine Learning Operations Engineer
Senior Data Engineer, MLOps [Remote-US]
Senior, ML Engineer - ML Ops Framework
Senior, ML Engineer - ML Ops Framework
Senior Machine Learning Operations Engineer
Staff ML/LLM Ops Engineer
Sr. Machine Learning Ops Engineer
DoD MLOps Software Engineer
Sr. Machine Learning Ops Engineer
| Company | Median | Roles |
|---|---|---|
Anduril Industries
|
$130,500 | 11 |
Air Apps
|
$65,766 | 9 |
Burson
|
$55,000 | 8 |
Launch Potato
|
$135,000 | 6 |
Klaviyo
|
$155,000 | 5 |
Accenture Federal Services
|
$106,400 | 5 |
Lyft
|
$93,150 | 5 |
|
|
$150,000 | 4 |
| Company | Median | Roles |
|---|---|---|
Garner Health
|
$297,500 | 2 |
Torc Robotics
|
$249,000 | 2 |
Quanata
|
$256,500 | 1 |
Roku
|
$254,875 | 1 |
LVT
|
$242,650 | 1 |
Hayden AI
|
$230,000 | 1 |
Instacart
|
$212,750 | 1 |
Cimgroup
|
$200,000 | 1 |
| Location | Median | Roles |
|---|---|---|
| Seattle | $193,000 | 10 |
| San Francisco | $132,983 | 24 |
| Boston | $130,500 | 17 |
| Denver | $128,750 | 10 |
| New York | $125,000 | 79 |
| Austin | $121,800 | 9 |
| Los Angeles | $113,400 | 12 |
| Chicago | $98,706 | 14 |
| Toronto | $93,389 | 20 |
| Atlanta | $81,250 | 18 |
The median for Data Analyst is $110,000 per year (typically $85,000–$145,161), versus $187,500 for MLOps ($147,500–$236,325). That puts MLOps about 70% ahead at the median.
Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Data Analyst and MLOps are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.