Data modeler vs data analyst

The differences between data modelers and data analysts can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a data modeler and a data analyst. Additionally, a data modeler has an average salary of $100,495, which is higher than the $74,342 average annual salary of a data analyst.

The top three skills for a data modeler include ETL, data analysis and data architecture. The most important skills for a data analyst are data analysis, python, and power bi.

Data modeler vs data analyst overview

	Data Modeler	Data Analyst
Yearly salary	$100,495	$74,342
Hourly rate	$48.31	$35.74
Growth rate	9%	11%
Number of jobs	81,645	167,520
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 70%	Bachelor's Degree, 65%
Average age	46	44
Years of experience	4	4

What does a data modeler do?

A data modeler is responsible for designing and creating network systems and applications for efficient and secured data storage solutions. Data modelers work closely with the data management team to identify business needs and execute data modeling techniques for comprehensive analysis. They also strategize in improving existing data systems, upgrading infrastructure, and configuring information for compatibility with every business unit. A data modeler must have excellent technical skills, as well as a strong command of programming languages to modify and optimize data models for smooth navigation and access.

What does a data analyst do?

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 modeler vs data analyst salary

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

	Data Modeler	Data Analyst
Average salary	$100,495	$74,342
Salary range	Between $73,000 And $138,000	Between $53,000 And $103,000
Highest paying City	San Francisco, CA	Richmond, CA
Highest paying state	California	New Jersey
Best paying company	Meta	The Citadel
Best paying industry	Pharmaceutical	Finance

Differences between data modeler and data analyst education

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

	Data Modeler	Data Analyst
Most common degree	Bachelor's Degree, 70%	Bachelor's Degree, 65%
Most common major	Computer Science	Business
Most common college	-	Northwestern University

Data modeler vs data analyst demographics

Here are the differences between data modelers' and data analysts' demographics:

	Data Modeler	Data Analyst
Average age	46	44
Gender ratio	Male, 71.0% Female, 29.0%	Male, 50.2% Female, 49.8%
Race ratio	Black or African American, 6.2% Unknown, 5.1% Hispanic or Latino, 8.1% Asian, 28.6% White, 51.5% American Indian and Alaska Native, 0.5%	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	6%	12%

Differences between data modeler and data analyst duties and responsibilities

Data modeler example responsibilities.

Lead efforts to analyze data for source/target mappings, create T-SQL scripts for data processing.
Involve in data governance processes relate to data quality and information management, managing the metadata repository etc.
Accomplish at designing dashboards and data summaries for technical and non-technical audiences and facilitating implementation of business strategies and missions.
Design the data marts in dimensional data modeling using star and snowflake schemas.
Develop data architecture prototypes and data models including ETL staging models, audit control models and traditional data warehouse dimension/fact models.
Work extensively with XML schema generation.

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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.

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Data modeler vs data analyst skills

Common data modeler skills

ETL, 6%
Data Analysis, 6%
Data Architecture, 6%
Physical Data Models, 5%
Data Warehouse, 5%
Tableau, 5%

Common data analyst skills

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

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Updated January 8, 2025

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