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The differences between clinical data coordinators and data analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a clinical data coordinator and a data analyst. Additionally, a data analyst has an average salary of $74,342, which is higher than the $66,880 average annual salary of a clinical data coordinator.
The top three skills for a clinical data coordinator include patients, data management and data collection. The most important skills for a data analyst are data analysis, python, and power bi.
| Clinical Data Coordinator | Data Analyst | |
| Yearly salary | $66,880 | $74,342 |
| Hourly rate | $32.15 | $35.74 |
| Growth rate | 31% | 11% |
| Number of jobs | 128,402 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 65% |
| Average age | 37 | 44 |
| Years of experience | 4 | 4 |
A clinical data coordinator is primarily in charge of managing and organizing data gathered from various clinical research programs. Their responsibilities revolve around coordinating with different departments, updating databases with accurate information, identifying errors and inconsistencies, performing corrective measures, and maintaining records of all transactions. They must also handle the documentation procedures, review sites, liaise with external vendors and suppliers, conduct audits, and train new staff. Furthermore, as a clinical data coordinator, it is essential to lead and encourage the team to reach goals, all while implementing the company's safety policies and regulations.
Data analysts are responsible for interpreting the company's statistics and providing sound recommendations to the organization. They manage the organization's data sets, usually related to market performance, finance, or human resources. They are in charge of studying the available data, spotting trends, interpreting what the data and the trends mean, and recommending suggestions that will help the organization perform better. Their recommendations should also be relevant and backed up with strong analyses. Data analysts are expected to have a good grasp of the current market trends in the industry.
Clinical data coordinators and data analysts have different pay scales, as shown below.
| Clinical Data Coordinator | Data Analyst | |
| Average salary | $66,880 | $74,342 |
| Salary range | Between $44,000 And $100,000 | Between $53,000 And $103,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | New Jersey |
| Best paying company | Genentech | The Citadel |
| Best paying industry | Pharmaceutical | Finance |
There are a few differences between a clinical data coordinator and a data analyst in terms of educational background:
| Clinical Data Coordinator | Data Analyst | |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 65% |
| Most common major | Biology | Business |
| Most common college | University of Pennsylvania | Northwestern University |
Here are the differences between clinical data coordinators' and data analysts' demographics:
| Clinical Data Coordinator | Data Analyst | |
| Average age | 37 | 44 |
| Gender ratio | Male, 26.7% Female, 73.3% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 5.1% Unknown, 5.0% Hispanic or Latino, 7.6% Asian, 22.7% White, 59.4% American Indian and Alaska Native, 0.2% | Black or African American, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 9% | 12% |