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The differences between data warehouse consultants and lead consultants can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data warehouse consultant, becoming a lead consultant takes usually requires 4-6 years. Additionally, a lead consultant has an average salary of $103,221, which is higher than the $91,441 average annual salary of a data warehouse consultant.
The top three skills for a data warehouse consultant include data quality, ETL and oracle sql. The most important skills for a lead consultant are customer service, digital transformation, and business process.
| Data Warehouse Consultant | Lead Consultant | |
| Yearly salary | $91,441 | $103,221 |
| Hourly rate | $43.96 | $49.63 |
| Growth rate | 9% | 9% |
| Number of jobs | 140,520 | 78,252 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 61% |
| Average age | 46 | 43 |
| Years of experience | 4 | 6 |
Data warehouse consultants and lead consultants have different pay scales, as shown below.
| Data Warehouse Consultant | Lead Consultant | |
| Average salary | $91,441 | $103,221 |
| Salary range | Between $69,000 And $119,000 | Between $80,000 And $132,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | Washington | Alaska |
| Best paying company | DIVERSANT | |
| Best paying industry | Retail | Technology |
There are a few differences between a data warehouse consultant and a lead consultant in terms of educational background:
| Data Warehouse Consultant | Lead Consultant | |
| Most common degree | Bachelor's Degree, 64% | Bachelor's Degree, 61% |
| Most common major | Computer Science | Business |
| Most common college | Massachusetts Institute of Technology | Stanford University |
Here are the differences between data warehouse consultants' and lead consultants' demographics:
| Data Warehouse Consultant | Lead Consultant | |
| Average age | 46 | 43 |
| Gender ratio | Male, 74.0% Female, 26.0% | Male, 67.9% Female, 32.1% |
| Race ratio | Black or African American, 6.3% Unknown, 5.1% Hispanic or Latino, 8.1% Asian, 28.1% White, 51.9% American Indian and Alaska Native, 0.5% | Black or African American, 9.9% Unknown, 5.0% Hispanic or Latino, 10.7% Asian, 19.5% White, 54.7% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 6% | 8% |