Data modeler vs database analyst

The differences between data modelers and database 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 database analyst. Additionally, a data modeler has an average salary of $100,495, which is higher than the $85,660 average annual salary of a database analyst.

The top three skills for a data modeler include ETL, data analysis and data architecture. The most important skills for a database analyst are database management, database design, and data analysis.

Data modeler vs database analyst overview

	Data Modeler	Database Analyst
Yearly salary	$100,495	$85,660
Hourly rate	$48.31	$41.18
Growth rate	9%	9%
Number of jobs	81,645	77,072
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 70%	Bachelor's Degree, 69%
Average age	46	46
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 database analyst do?

A database analyst is primarily responsible for devising strategies on how to handle a company's collection of data and information. Typically, they are in charge of designing and implementing databases, evaluating existing ones, and providing recommendations for improvement. They are also responsible for testing, populating, and maintaining databases, ensuring accuracy and timeliness. Furthermore, as a database analyst, it is essential to adhere to the company's policies and regulations, all while coordinating with other administrators to make sure that all processes align with the company's goals.

Data modeler vs database analyst salary

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

	Data Modeler	Database Analyst
Average salary	$100,495	$85,660
Salary range	Between $73,000 And $138,000	Between $63,000 And $116,000
Highest paying City	San Francisco, CA	San Francisco, CA
Highest paying state	California	Washington
Best paying company	Meta	Mayo Clinic
Best paying industry	Pharmaceutical	Manufacturing

Differences between data modeler and database analyst education

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

	Data Modeler	Database Analyst
Most common degree	Bachelor's Degree, 70%	Bachelor's Degree, 69%
Most common major	Computer Science	Business
Most common college	-	Stanford University

Data modeler vs database analyst demographics

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

	Data Modeler	Database Analyst
Average age	46	46
Gender ratio	Male, 71.0% Female, 29.0%	Male, 62.3% Female, 37.7%
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, 8.3% Unknown, 5.2% Hispanic or Latino, 9.4% Asian, 19.3% White, 57.3% American Indian and Alaska Native, 0.5%
LGBT Percentage	6%	6%

Differences between data modeler and database 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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Database analyst example responsibilities.

Develop PL/SQL packages and procedures in order to automate financial reports on a monthly, quarterly and annual basis.
Used T-SQL skills including creation of user define functions, complex store procedures, query optimization to write automate reporting.
Implement and automate existing manual process, to create CRF by creating new database objects in SQL and macro in excel.
Develop employee web portal using PHP, JavaScript, CSS, and MySQL.
Design and schedule SSIS packages to load data from OLTP to OLAP system for data analysis and generating KPI reports.
Perform analysis, design, programming, and unit testing of PL/SQL code and UNIX shell scripts.

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Data modeler vs database analyst skills

Common data modeler skills

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

Common database analyst skills

Database Management, 8%
Database Design, 8%
Data Analysis, 6%
Backup Recovery, 5%
ETL, 4%
Data Warehouse, 4%

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Updated January 8, 2025

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