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Data warehouse specialist vs specialist

The differences between data warehouse specialists and specialists can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data warehouse specialist, becoming a specialist takes usually requires 1-2 years. Additionally, a data warehouse specialist has an average salary of $78,418, which is higher than the $58,013 average annual salary of a specialist.

The top three skills for a data warehouse specialist include data warehouse, ETL and data warehousing. The most important skills for a specialist are patients, customer service, and work ethic.

Data warehouse specialist vs specialist overview

Data Warehouse SpecialistSpecialist
Yearly salary$78,418$58,013
Hourly rate$37.70$27.89
Growth rate9%10%
Number of jobs119,990358,433
Job satisfaction--
Most common degreeBachelor's Degree, 67%Bachelor's Degree, 49%
Average age4642
Years of experience42

Data warehouse specialist vs specialist salary

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

Data Warehouse SpecialistSpecialist
Average salary$78,418$58,013
Salary rangeBetween $61,000 And $99,000Between $32,000 And $104,000
Highest paying CityPleasanton, CAJersey City, NJ
Highest paying stateMarylandNew Jersey
Best paying companyAvidThe Citadel
Best paying industryFinance-

Differences between data warehouse specialist and specialist education

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

Data Warehouse SpecialistSpecialist
Most common degreeBachelor's Degree, 67%Bachelor's Degree, 49%
Most common majorComputer ScienceBusiness
Most common collegeUniversity of PennsylvaniaStanford University

Data warehouse specialist vs specialist demographics

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

Data Warehouse SpecialistSpecialist
Average age4642
Gender ratioMale, 63.7% Female, 36.3%Male, 47.5% Female, 52.5%
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, 11.4% Unknown, 5.4% Hispanic or Latino, 16.4% Asian, 10.5% White, 55.9% American Indian and Alaska Native, 0.4%
LGBT Percentage6%11%

Differences between data warehouse specialist and specialist 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

Specialist example responsibilities.

  • Create, manage, and assist users with SharePoint sites.
  • Manage an on-site IRB and company good clinical practice (GCP) inspection.
  • Manage SharePoint sites by creating, editing, and customizing company sites, libraries and security.
  • Manage the building of accounts, assigning of static IP's, and scheduling of business class installations.
  • Convert servers from UNIX to Linux, all hardware diagnostics and repair including printers/plotters/desktops etc.
  • Follow safety procedures such as maintenance of all equipment (Telxon scanners, terminals and ladders).
  • Show more

Data warehouse specialist vs specialist skills

Common data warehouse specialist skills
  • Data Warehouse, 11%
  • ETL, 9%
  • Data Warehousing, 8%
  • Business Intelligence, 7%
  • Architecture, 5%
  • Data Analysis, 4%
Common specialist skills
  • Patients, 15%
  • Customer Service, 11%
  • Work Ethic, 5%
  • Patient Care, 4%
  • Exceptional Client, 4%
  • Troubleshoot, 4%

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