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Data warehousing manager vs data modeler

The differences between data warehousing managers and data modelers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 6-8 years to become a data warehousing manager, becoming a data modeler takes usually requires 2-4 years. Additionally, a data warehousing manager has an average salary of $106,633, which is higher than the $100,495 average annual salary of a data modeler.

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

Data warehousing manager vs data modeler overview

Data Warehousing ManagerData Modeler
Yearly salary$106,633$100,495
Hourly rate$51.27$48.31
Growth rate16%9%
Number of jobs88,60181,645
Job satisfaction--
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 70%
Average age4746
Years of experience84

Data warehousing manager vs data modeler salary

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

Data Warehousing ManagerData Modeler
Average salary$106,633$100,495
Salary rangeBetween $73,000 And $154,000Between $73,000 And $138,000
Highest paying City-San Francisco, CA
Highest paying state-California
Best paying company-Meta
Best paying industry-Pharmaceutical

Differences between data warehousing manager and data modeler education

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

Data Warehousing ManagerData Modeler
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 70%
Most common majorBusinessComputer Science
Most common collegeCarnegie Mellon University-

Data warehousing manager vs data modeler demographics

Here are the differences between data warehousing managers' and data modelers' demographics:

Data Warehousing ManagerData Modeler
Average age4746
Gender ratioMale, 86.9% Female, 13.1%Male, 71.0% Female, 29.0%
Race ratioBlack or African American, 6.5% Unknown, 5.2% Hispanic or Latino, 9.8% Asian, 15.1% White, 63.1% American Indian and Alaska Native, 0.2%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 Percentage11%6%

Differences between data warehousing manager and data modeler duties and responsibilities

Data warehousing manager example responsibilities.

  • Manage the ETL development of all new data feeds to external parties.
  • Manage clinical trials by gathering data, monitoring adverse events, screening patients for eligibility and scheduling patients per protocol.
  • Design and implement complex database refresh processes using SQL, PL/SQL and Unix shell scripts.
  • Help guide discussions around database design, the proper use of OLAP cubes, and other architectural design discussions.
  • Create, maintain and publish data dictionary with metadata repository, conceptual and logical data models in SharePoint portal.
  • Manage clinical trials by gathering data, monitoring adverse events, screening patients for eligibility and scheduling patients per protocol.
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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 warehousing manager vs data modeler skills

Common data warehousing manager skills
  • Data Warehousing, 28%
  • Data Warehouse, 19%
  • ETL, 18%
  • Ssis, 8%
  • Oracle Sql, 7%
  • Teradata, 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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