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The differences between integration analysts and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 4-6 years to become an integration analyst, becoming a data analyst takes usually requires 2-4 years. Additionally, an integration analyst has an average salary of $88,346, which is higher than the $74,342 average annual salary of a data analyst.
The top three skills for an integration analyst include healthcare, data analysis and project management. The most important skills for a data analyst are data analysis, python, and power bi.
| Integration Analyst | Data Analyst | |
| Yearly salary | $88,346 | $74,342 |
| Hourly rate | $42.47 | $35.74 |
| Growth rate | 9% | 11% |
| Number of jobs | 102,589 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 65% |
| Average age | 43 | 44 |
| Years of experience | 6 | 4 |
An integration analyst's role is to analyze the needs of different company departments and provide them with the necessary solutions and systems for development and improvement. Their responsibilities revolve around spearheading system integrations, implementing software and application optimizations, providing written instructions or training for employees on how to operate new systems, and monitoring progress. They are also responsible for addressing any inquiries or concerns, resolving them promptly and efficiently. Furthermore, it is essential to perform clerical tasks such as producing progress reports and presentations, all while implementing the company's 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.
Integration analysts and data analysts have different pay scales, as shown below.
| Integration Analyst | Data Analyst | |
| Average salary | $88,346 | $74,342 |
| Salary range | Between $61,000 And $126,000 | Between $53,000 And $103,000 |
| Highest paying City | Palo Alto, CA | Richmond, CA |
| Highest paying state | California | New Jersey |
| Best paying company | Meta | The Citadel |
| Best paying industry | Retail | Finance |
There are a few differences between an integration analyst and a data analyst in terms of educational background:
| Integration Analyst | Data Analyst | |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 65% |
| Most common major | Business | Business |
| Most common college | Stanford University | Northwestern University |
Here are the differences between integration analysts' and data analysts' demographics:
| Integration Analyst | Data Analyst | |
| Average age | 43 | 44 |
| Gender ratio | Male, 55.4% Female, 44.6% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 10.6% Unknown, 5.0% Hispanic or Latino, 11.3% Asian, 14.4% White, 58.4% 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 | 8% | 12% |