Data Analyst Salary in Reading
Collects, processes, and interprets data to help organizations make informed decisions.
Reading ranks #251 of 530 U.S. metro areas for data analyst pay. Entry-level salaries here are $536 below the national average.
Reading vs National Average
| Level | This Metro | National Avg | Difference | % Change |
|---|---|---|---|---|
| Level I (Entry) | $63,939 | $64,475 | $-536 | -0.8% |
| Level II | $82,659 | $83,505 | $-846 | -1.0% |
| Level III (Mid) | $101,358 | $102,534 | $-1,176 | -1.1% |
| Level IV (Senior) | $120,078 | $121,565 | $-1,487 | -1.2% |
Other metros in Pennsylvania
| Metro Area | Level I | Level IV | Average |
|---|---|---|---|
| Pittsburgh | $63,669 | $121,472 | $102,398 |
| Johnstown | $62,234 | $119,600 | $100,672 |
| Central Pennsylvania | $63,232 | $118,934 | $100,547 |
| Chambersburg | $56,638 | $120,058 | $99,133 |
| York-Hanover | $61,984 | $115,294 | $97,698 |
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What is the average data analyst salary in Reading?
The average data analyst salary in Reading is $101,546 per year, based on U.S. Department of Labor employer survey data. This places Reading at rank #251 out of 530 U.S. metro areas surveyed.
What do entry-level data analysts earn in Reading?
Entry-level data analysts (Level I) in Reading earn $63,939 per year. Level II (early career) earns $82,659, reflecting growing independence and experience.
How does Reading compare to the national average for data analyst salaries?
Reading ranks #251 of 530 U.S. metro areas for data analyst pay. Entry-level salaries here are $536 below the national average. The national average data analyst salary is $102,724, while Reading workers average $101,546 — a difference of -1% overall.
Data source: Salary data sourced from the U.S. Department of Labor Occupational Employment and Wage Statistics (OEWS) program, which surveys employers nationwide to collect wage data by occupation and geography. The four experience levels reflect DOL standardized tiers. Data reflects the most recently published survey cycle. SOC code: 15-2051.