Data Warehousing Specialist

Your Fit

Income

$136K

Preparation

Considerable

Growth

10.0%

Definition
Your fit with this career
How much they earn
What they do
Job satisfaction
How to become

What is a Data Warehousing Specialist?

A Data Warehousing Specialist is a professional who specializes in creating and managing data warehouses, which are large repositories of electronic data collected from various sources. They focus on data storage, organization, retrieval, and security to support business intelligence and data analytics.

Sample job titles:

Data Warehouse Analyst, Data Warehouse Solution Architect

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The fit report shows your areas of fit and misfit with Data Warehousing Specialist.

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Test scores

The scores report summarizes what we learned about you. It shows your results on everything measured in the career test.

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How much does a Data Warehousing Specialist earn

According to the U.S. Bureau of Labor Statistics, typical income (in USD) in 2024 was...

Bottom 10%	Bottom 25%	Median (average)	Top 25%	Top 10%
$82K per year	$108K per year	$136K per year	$169K per year	$210K per year

Compared to other careers: Median is $86K above the national average.

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What does a Data Warehousing Specialist do?

Work environment

Data Warehousing Specialists typically work in office environments, often within the IT departments of corporations, government agencies, or consulting firms. Their role involves collaboration with data analysts, IT professionals, and business stakeholders. Work may include regular office hours but can extend to longer periods during major project implementations or system upgrades.

Quick task list

Designs and implements data warehouse architecture.
Extracts, transforms, and loads (ETL) data from various sources.
Ensures data accuracy and integrity within the warehouse.
Manages data storage and retrieval processes.
Collaborates with data analysts and business stakeholders to meet data needs.

See full list of tasks with expert relevance ratings

Areas of specialization

ETL Development: Specializing in the extraction, transformation, and loading of data.
Business Intelligence Integration: Integrating data warehouses with business intelligence tools for data analysis.
Data Modeling: Designing data models to effectively store and retrieve data.
Cloud Data Warehousing: Specializing in cloud-based data warehousing solutions like Amazon Redshift, Google BigQuery, or Microsoft Azure.
Data Warehouse Security: Focusing on securing data and protecting against breaches.

Description

Data Warehousing Specialists are essential in the era of big data, where efficient data storage and retrieval are crucial for business decision-making. They design and maintain data warehouses that consolidate data from various sources, ensuring that it is organized, secure, and accessible for analysis. This role involves understanding both the technical aspects of database systems and the business needs of an organization, bridging the gap between data technology and business strategy.

A key part of their job is to work with ETL processes, ensuring that data is accurately transferred into the warehouse. They also play a critical role in data modeling, defining how data is stored, accessed, and managed. As organizations increasingly rely on data analytics, the role of a Data Warehousing Specialist becomes even more vital in providing the foundational infrastructure for analysis.

The field offers opportunities for continuous learning and specialization, especially with the evolution of cloud computing and advanced data storage technologies. Professionals in this field need to stay abreast of the latest trends and developments in data warehousing solutions and practices. The role is both challenging and rewarding, offering the chance to directly impact an organization's strategic use of data.

Job Satisfaction

Sources of satisfaction

Playing a critical role in the data-driven decision-making process of an organization.
The intellectual challenge of designing and managing complex data systems.
Opportunities for continual learning and advancement in emerging data technologies.

You might make a good Data Warehousing Specialist if you are...

Detail-oriented, with a strong focus on accuracy and data integrity.
Interested in data storage technologies and data architecture.
Skilled in problem-solving and analytical thinking.
Able to communicate technical concepts to non-technical stakeholders.
Keen on continuous learning and staying updated with the latest technology trends.

Pros:

High demand in a data-driven business environment.
Opportunities to work in various industries.
Potential for high earnings and career growth.

Cons:

Can be demanding with tight project deadlines.
Requires continuous learning to keep up with evolving technologies.
The complexity of data can lead to challenging troubleshooting scenarios.

How to become a Data Warehousing Specialist

Typical education

A bachelor's degree in computer science, data science, information technology, or a related field is commonly required, totaling approximately 4 years of post-secondary education. Additional certifications in specific data warehousing technologies or tools can be beneficial.

High school preparation

Courses:

Computer Science to understand the basics of computing and databases.
Mathematics, especially statistics, for developing analytical skills.
Business Studies to gain an insight into how businesses use data.

Extra-Curricular Activities:

Participating in computer clubs or coding competitions.
Engaging in online courses related to databases and data management.
Volunteering to manage data for school events or clubs.

Preparation after high school

Pursue a bachelor's degree in computer science, information technology, data science, or a related field.
Gain practical experience through internships focusing on database management or data warehousing.
Obtain certifications in specific data warehousing technologies and tools.

More resources

Coursera – Data Warehousing for Business Intelligence Specialization - Offers courses on data warehousing concepts and tools.
Data Warehousing Institute (TDWI) - Provides education and training in data warehousing and business intelligence.
Microsoft Learn: Data Engineering on Azure - Offers learning paths for data engineering and warehousing on Azure.
Amazon Redshift Documentation - Provides resources for learning about Amazon Redshift, a cloud data warehousing solution.

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