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Data warehouse specialist vs data modeler

The differences between data warehouse specialists and data modelers 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 warehouse specialist and a data modeler. Additionally, a data modeler has an average salary of $100,495, which is higher than the $78,418 average annual salary of a data warehouse specialist.

The top three skills for a data warehouse specialist include data warehouse, ETL and data warehousing. The most important skills for a data modeler are ETL, data analysis, and data architecture.

Data warehouse specialist vs data modeler overview

Data Warehouse SpecialistData Modeler
Yearly salary$78,418$100,495
Hourly rate$37.70$48.31
Growth rate9%9%
Number of jobs119,99081,645
Job satisfaction--
Most common degreeBachelor's Degree, 67%Bachelor's Degree, 70%
Average age4646
Years of experience44

Data warehouse specialist vs data modeler salary

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

Data Warehouse SpecialistData Modeler
Average salary$78,418$100,495
Salary rangeBetween $61,000 And $99,000Between $73,000 And $138,000
Highest paying CityPleasanton, CASan Francisco, CA
Highest paying stateMarylandCalifornia
Best paying companyAvidMeta
Best paying industryFinancePharmaceutical

Differences between data warehouse specialist and data modeler education

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

Data Warehouse SpecialistData Modeler
Most common degreeBachelor's Degree, 67%Bachelor's Degree, 70%
Most common majorComputer ScienceComputer Science
Most common collegeUniversity of Pennsylvania-

Data warehouse specialist vs data modeler demographics

Here are the differences between data warehouse specialists' and data modelers' demographics:

Data Warehouse SpecialistData Modeler
Average age4646
Gender ratioMale, 63.7% Female, 36.3%Male, 71.0% Female, 29.0%
Race ratioBlack or African American, 7.3% Unknown, 5.2% Hispanic or Latino, 9.0% Asian, 22.7% White, 55.4% American Indian and Alaska Native, 0.5%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%
LGBT Percentage6%6%

Differences between data warehouse specialist and data modeler duties and responsibilities

Data warehouse specialist example responsibilities.

  • Lead system maintenance, upgrade, ETL, scheduling, and installation of client software, holding accountability for performance.
  • Report procedures against SSAS are constructed and ExcelWriter templates are developed to automate and replace existing manually generate, client-contract reports.
  • Determine data extraction and transformation require to support reporting requirements.
  • Develop ETL documentation including data flow diagrams, process diagrams, data transformation mapping documentation and business rules.
  • Create SSIS packages to upload data to SQL server.
  • Design, implement, modify and schedule SSIS packages in SSMS.
    • Show more

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.
    • Show more

Data warehouse specialist vs data modeler skills

Common data warehouse specialist skills
  • Data Warehouse, 11%
  • ETL, 9%
  • Data Warehousing, 8%
  • Business Intelligence, 7%
  • Architecture, 5%
  • Data Analysis, 4%
Common data modeler skills
  • ETL, 6%
  • Data Analysis, 6%
  • Data Architecture, 6%
  • Physical Data Models, 5%
  • Data Warehouse, 5%
  • Tableau, 5%

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Updated January 8, 2025

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