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The differences between master data 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 a master data analyst, becoming a data analyst takes usually requires 2-4 years. Additionally, a master data analyst has an average salary of $83,970, which is higher than the $74,342 average annual salary of a data analyst.
The top three skills for a master data analyst include data quality, customer service and data governance. The most important skills for a data analyst are data analysis, python, and power bi.
| Master Data Analyst | Data Analyst | |
| Yearly salary | $83,970 | $74,342 |
| Hourly rate | $40.37 | $35.74 |
| Growth rate | 9% | 11% |
| Number of jobs | 140,541 | 167,520 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 66% | Bachelor's Degree, 65% |
| Average age | 43 | 44 |
| Years of experience | 6 | 4 |
A master data analyst is responsible for maintaining the safety and security of the organization's network database, ensuring the correct data integration and processing, and monitoring the feasibility of data requirements. Master data analysts work closely with the technology department to perform data quality control procedures, resolve data management issues, and upgrade system features to prevent unauthorized access and malicious activities. A master data analyst must have excellent knowledge of the technology industry, as well as a strong command on the programming languages and system codes to manage data management complexities and improve business operational functions.
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.
Master data analysts and data analysts have different pay scales, as shown below.
| Master Data Analyst | Data Analyst | |
| Average salary | $83,970 | $74,342 |
| Salary range | Between $58,000 And $120,000 | Between $53,000 And $103,000 |
| Highest paying City | Sunnyvale, CA | Richmond, CA |
| Highest paying state | Oregon | New Jersey |
| Best paying company | Apple | The Citadel |
| Best paying industry | Technology | Finance |
There are a few differences between a master data analyst and a data analyst in terms of educational background:
| Master Data Analyst | Data Analyst | |
| Most common degree | Bachelor's Degree, 66% | Bachelor's Degree, 65% |
| Most common major | Business | Business |
| Most common college | Stanford University | Northwestern University |
Here are the differences between master data analysts' and data analysts' demographics:
| Master Data Analyst | Data Analyst | |
| Average age | 43 | 44 |
| Gender ratio | Male, 44.5% Female, 55.5% | Male, 50.2% Female, 49.8% |
| Race ratio | Black or African American, 10.3% Unknown, 5.0% Hispanic or Latino, 11.1% Asian, 14.6% White, 58.9% 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% |