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Data warehousing manager vs data analyst

The differences between data warehousing managers and data analysts 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 analyst takes usually requires 2-4 years. Additionally, a data warehousing manager has an average salary of $106,633, which is higher than the $74,342 average annual salary of a data analyst.

The top three skills for a data warehousing manager include data warehousing, data warehouse and ETL. The most important skills for a data analyst are data analysis, python, and power bi.

Data warehousing manager vs data analyst overview

Data Warehousing ManagerData Analyst
Yearly salary$106,633$74,342
Hourly rate$51.27$35.74
Growth rate16%11%
Number of jobs88,601167,520
Job satisfaction--
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 65%
Average age4744
Years of experience84

Data warehousing manager vs data analyst salary

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

Data Warehousing ManagerData Analyst
Average salary$106,633$74,342
Salary rangeBetween $73,000 And $154,000Between $53,000 And $103,000
Highest paying City-Richmond, CA
Highest paying state-New Jersey
Best paying company-The Citadel
Best paying industry-Finance

Differences between data warehousing manager and data analyst education

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

Data Warehousing ManagerData Analyst
Most common degreeBachelor's Degree, 68%Bachelor's Degree, 65%
Most common majorBusinessBusiness
Most common collegeCarnegie Mellon UniversityNorthwestern University

Data warehousing manager vs data analyst demographics

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

Data Warehousing ManagerData Analyst
Average age4744
Gender ratioMale, 86.9% Female, 13.1%Male, 50.2% Female, 49.8%
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, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2%
LGBT Percentage11%12%

Differences between data warehousing manager and data analyst 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 analyst example responsibilities.

  • Manage patient s data in UNIX system.
  • Manage loan performance in Hyperion Financials using SQL and PL/SQL tools.
  • Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
  • Develop Java application to automate reformatting of text files for an internal application.
  • Execute deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtain from analysis.
  • Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
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Data warehousing manager vs data analyst skills

Common data warehousing manager skills
  • Data Warehousing, 28%
  • Data Warehouse, 19%
  • ETL, 18%
  • Ssis, 8%
  • Oracle Sql, 7%
  • Teradata, 4%
Common data analyst skills
  • Data Analysis, 10%
  • Python, 7%
  • Power Bi, 6%
  • Data Management, 6%
  • Visualization, 5%
  • Data Quality, 4%

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