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The differences between sales operations analysts 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 sales operations analyst and a data analyst. Additionally, a data analyst has an average salary of $74,342, which is higher than the $70,773 average annual salary of a sales operations analyst.
The top three skills for a sales operations analyst include sales operations, CRM and dashboards. The most important skills for a data analyst are data analysis, python, and power bi.
| Sales Operations Analyst | Data Analyst | |
| Yearly salary | $70,773 | $74,342 |
| Hourly rate | $34.03 | $35.74 |
| Growth rate | 11% | 11% |
| Number of jobs | 131,711 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 74% | Bachelor's Degree, 65% |
| Average age | 44 | 44 |
| Years of experience | 4 | 4 |
A sales operations analyst is an individual who handles and manages the workflow of an organization's sales processes and ensures that sales operations are running smoothly. Sales operations analysts gather and organize data so that they can generate deeper customer insight to enhance the sales force's productivity. They work in the field with the sales representatives to assist them in identifying opportunities for improvement. Sales operations analyst must also develop promotional material distribution capability that can incorporate state-of-the-art technology.
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.
Sales operations analysts and data analysts have different pay scales, as shown below.
| Sales Operations Analyst | Data Analyst | |
| Average salary | $70,773 | $74,342 |
| Salary range | Between $51,000 And $96,000 | Between $53,000 And $103,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | Washington | New Jersey |
| Best paying company | Meta | The Citadel |
| Best paying industry | Technology | Finance |
There are a few differences between a sales operations analyst and a data analyst in terms of educational background:
| Sales Operations Analyst | Data Analyst | |
| Most common degree | Bachelor's Degree, 74% | Bachelor's Degree, 65% |
| Most common major | Business | Business |
| Most common college | Northwestern University | Northwestern University |
Here are the differences between sales operations analysts' and data analysts' demographics:
| Sales Operations Analyst | Data Analyst | |
| Average age | 44 | 44 |
| Gender ratio | Male, 49.1% Female, 50.9% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 7.8% Unknown, 4.5% Hispanic or Latino, 8.7% Asian, 14.2% White, 64.7% 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 | 12% | 12% |