Principle consultant vs data consultant

The differences between principle consultants and data consultants can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a principle consultant and a data consultant. Additionally, a principle consultant has an average salary of $111,572, which is higher than the $94,945 average annual salary of a data consultant.

The top three skills for a principle consultant include client facing, project management and java. The most important skills for a data consultant are analytics, data quality, and data management.

Principle consultant vs data consultant overview

	Principle Consultant	Data Consultant
Yearly salary	$111,572	$94,945
Hourly rate	$53.64	$45.65
Growth rate	11%	11%
Number of jobs	66,786	149,791
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 68%	Bachelor's Degree, 61%
Average age	44	44
Years of experience	4	4

Principle consultant vs data consultant salary

Principle consultants and data consultants have different pay scales, as shown below.

	Principle Consultant	Data Consultant
Average salary	$111,572	$94,945
Salary range	Between $85,000 And $144,000	Between $70,000 And $127,000
Highest paying City	Washington, DC	San Francisco, CA
Highest paying state	New Jersey	California
Best paying company	InfosysPublicService	Google
Best paying industry	Finance	Health Care

Differences between principle consultant and data consultant education

There are a few differences between a principle consultant and a data consultant in terms of educational background:

	Principle Consultant	Data Consultant
Most common degree	Bachelor's Degree, 68%	Bachelor's Degree, 61%
Most common major	Business	Business
Most common college	Northwestern University	University of Pennsylvania

Principle consultant vs data consultant demographics

Here are the differences between principle consultants' and data consultants' demographics:

	Principle Consultant	Data Consultant
Average age	44	44
Gender ratio	Male, 79.8% Female, 20.2%	Male, 63.2% Female, 36.8%
Race ratio	Black or African American, 7.4% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.3% White, 65.2% American Indian and Alaska Native, 0.2%	Black or African American, 7.4% Unknown, 4.4% Hispanic or Latino, 8.4% Asian, 14.3% White, 65.3% American Indian and Alaska Native, 0.2%
LGBT Percentage	12%	12%

Differences between principle consultant and data consultant duties and responsibilities

Principle consultant example responsibilities.

Manage design and development of cloud-base billing application for streamlining payroll and invoicing, as well as offering real-time business analytics.
Develop specifications as well as Java code and lead team of developers.
Collaborate with customer's business and technical leaders/staff to clarify requirements and design solutions with a tangible ROI.
Develop out-of-the-box SharePoint request system for digital content.
Develop applications using web services using with SharePoint services
Redesign several client-server base applications to a web-base services architecture.

Data consultant example responsibilities.

Used SSRS to create and manage a number of complex reports according to user specifications.
Analyze, document and manage all project requirements and changes to the requirements throughout the SDLC.
Design and manage postgres database schemas; configure postgres servers in Linux environments to meet business requirements.
Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
Implement data extraction, transformation and load processes in a parallel framework.
Compile a written report highlighting exploratory data analysis, visualization, and predictions.

Principle consultant vs data consultant skills

Common principle consultant skills

Client Facing, 10%
Project Management, 6%
Java, 6%
Data Warehouse, 5%
Healthcare, 4%
R, 4%

Common data consultant skills

Analytics, 13%
Data Quality, 7%
Data Management, 6%
Data Governance, 5%
Informatica, 4%
Master Data, 4%