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Database modeler vs database analyst

The differences between database 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 database modeler and a database analyst. Additionally, a database analyst has an average salary of $85,660, which is higher than the $81,899 average annual salary of a database modeler.

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

Database modeler vs database analyst overview

Database ModelerDatabase Analyst
Yearly salary$81,899$85,660
Hourly rate$39.37$41.18
Growth rate9%9%
Number of jobs10,95077,072
Job satisfaction--
Most common degreeMaster's Degree, 42%Bachelor's Degree, 69%
Average age4646
Years of experience44

Database modeler vs database analyst salary

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

Database ModelerDatabase Analyst
Average salary$81,899$85,660
Salary rangeBetween $61,000 And $108,000Between $63,000 And $116,000
Highest paying City-San Francisco, CA
Highest paying state-Washington
Best paying company-Mayo Clinic
Best paying industry-Manufacturing

Differences between database modeler and database analyst education

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

Database ModelerDatabase Analyst
Most common degreeMaster's Degree, 42%Bachelor's Degree, 69%
Most common majorComputer ScienceBusiness
Most common collegeNorthwestern UniversityStanford University

Database modeler vs database analyst demographics

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

Database ModelerDatabase Analyst
Average age4646
Gender ratioMale, 77.3% Female, 22.7%Male, 62.3% Female, 37.7%
Race ratioBlack or African American, 4.7% Unknown, 4.9% Hispanic or Latino, 7.2% Asian, 19.0% White, 63.7% 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 Percentage6%6%

Differences between database modeler and database analyst duties and responsibilities

Database modeler example responsibilities.

  • Involve in data governance processes relate to data quality and information management, managing the metadata repository etc.
  • Develop and implement many cluster monitoring scripts using linux shell scripting.
  • Analyze functional and non-functional data elements for data profiling and mapping from source to target data environment.
  • Assist other data analysts and research scientists with data manipulation, presentations/big data visualization, information tracking, and projects.
  • Provide system analysts with coding standards and capabilities of RDBMS.
  • Streamline and reorganize the department's SharePoint's file repository enabling team members to locate procedural documents effortlessly.

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.
  • Show more

Database modeler vs database analyst skills

Common database modeler skills
  • SAS, 48%
  • Visual Database, 21%
  • Data Warehouse, 12%
  • Dimensional Data, 10%
  • Logical Data Model, 10%
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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