Data systems technician vs data analyst

The differences between data systems technicians and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a data systems technician, becoming a data analyst takes usually requires 2-4 years. Additionally, a data analyst has an average salary of $74,342, which is higher than the $67,860 average annual salary of a data systems technician.

The top three skills for a data systems technician include computer system, user accounts and troubleshoot. The most important skills for a data analyst are data analysis, python, and power bi.

Data systems technician vs data analyst overview

	Data Systems Technician	Data Analyst
Yearly salary	$67,860	$74,342
Hourly rate	$32.62	$35.74
Growth rate	5%	11%
Number of jobs	158,555	167,520
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 45%	Bachelor's Degree, 65%
Average age	43	44
Years of experience	2	4

Data systems technician vs data analyst salary

Data systems technicians and data analysts have different pay scales, as shown below.

	Data Systems Technician	Data Analyst
Average salary	$67,860	$74,342
Salary range	Between $46,000 And $98,000	Between $53,000 And $103,000
Highest paying City	-	Richmond, CA
Highest paying state	-	New Jersey
Best paying company	-	The Citadel
Best paying industry	-	Finance

Differences between data systems technician and data analyst education

There are a few differences between a data systems technician and a data analyst in terms of educational background:

	Data Systems Technician	Data Analyst
Most common degree	Bachelor's Degree, 45%	Bachelor's Degree, 65%
Most common major	Electrical Engineering	Business
Most common college	Stanford University	Northwestern University

Data systems technician vs data analyst demographics

Here are the differences between data systems technicians' and data analysts' demographics:

	Data Systems Technician	Data Analyst
Average age	43	44
Gender ratio	Male, 87.9% Female, 12.1%	Male, 50.2% Female, 49.8%
Race ratio	Black or African American, 8.9% Unknown, 5.1% Hispanic or Latino, 12.6% Asian, 8.8% White, 64.4% American Indian and Alaska Native, 0.3%	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	9%	12%

Differences between data systems technician and data analyst duties and responsibilities

Data systems technician example responsibilities.

Manage certificate revocation list, update expired certificates, ensuring DMS availability.
Promote to QC role within several weeks.
Enter client orders into system and run reports of delinquent customers.
Install, maintain and upgrade Pc's on a Novell network.
Enter information into DP3 system, run batch jobs to complete the process.
Support the successful rollout of borough applications and customizations using Novell solutions such as Novell Groupwise and Zenworks.

Data analyst example responsibilities.

Manage patient s data in UNIX system.
Manage loan performance in Hyperion Financials using SQL and PL/SQL tools.
Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
Develop Java application to automate reformatting of text files for an internal application.
Execute deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtain from analysis.
Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.

Data systems technician vs data analyst skills

Common data systems technician skills

Computer System, 12%
User Accounts, 7%
Troubleshoot, 5%
Preventive Maintenance, 5%
Level Troubleshooting, 5%
SQL, 5%

Common data analyst skills

Data Analysis, 10%
Python, 7%
Power Bi, 6%
Data Management, 6%
Visualization, 5%
Data Quality, 4%