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The differences between data product managers and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 8-10 years to become a data product manager, becoming a data analyst takes usually requires 2-4 years. Additionally, a data product manager has an average salary of $117,599, which is higher than the $74,342 average annual salary of a data analyst.
The top three skills for a data product manager include product management, BI and QA. The most important skills for a data analyst are data analysis, python, and power bi.
| Data Product Manager | Data Analyst | |
| Yearly salary | $117,599 | $74,342 |
| Hourly rate | $56.54 | $35.74 |
| Growth rate | 10% | 11% |
| Number of jobs | 189,532 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 72% | Bachelor's Degree, 65% |
| Average age | 39 | 44 |
| Years of experience | 10 | 4 |
A data product manager is responsible for supervising the data flow within the product management process, ensuring that the data address the product's features and functionality. Data product managers analyze data statistics by conducting surveys and reviewing reports, adjusting business plans according to the results. They also coordinate with the clients to inform them of progress updates and assist with their additional requirements and requests. A data product manager must have excellent communication and organizational skills, especially in performing quality control procedures before releasing final product outputs.
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.
Data product managers and data analysts have different pay scales, as shown below.
| Data Product Manager | Data Analyst | |
| Average salary | $117,599 | $74,342 |
| Salary range | Between $87,000 And $158,000 | Between $53,000 And $103,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | New Jersey |
| Best paying company | Credit Karma | The Citadel |
| Best paying industry | Start-up | Finance |
There are a few differences between a data product manager and a data analyst in terms of educational background:
| Data Product Manager | Data Analyst | |
| Most common degree | Bachelor's Degree, 72% | Bachelor's Degree, 65% |
| Most common major | Business | Business |
| Most common college | University of Georgia | Northwestern University |
Here are the differences between data product managers' and data analysts' demographics:
| Data Product Manager | Data Analyst | |
| Average age | 39 | 44 |
| Gender ratio | Male, 64.2% Female, 35.8% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 3.0% Unknown, 5.3% Hispanic or Latino, 8.7% Asian, 8.2% White, 74.6% 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 | 10% | 12% |