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What does a data warehouse specialist do?

Updated January 8, 2025
7 min read
Quoted expert
Pavel Chernyavskiy Ph.D.
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Data warehouse specialist responsibilities

Here are examples of responsibilities from real data warehouse specialist resumes:

  • 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.
  • Code and maintain a web-base risk history application for the extraction of data to be used by the actuarial team.
  • Develop web-based and SharePoint applications as needed.
  • Work closely with SharePoint development team to ensure architecture meets business needs.
  • Develop new subject area star schema model to accommodate national animal health product sales and market share data across participating manufacturers.
  • Involve in creating a relational model for CRM data feed.
  • Develop a common data repository for personnel data previously store in non-integrate legacy systems.

Data warehouse specialist skills and personality traits

We calculated that 11% of Data Warehouse Specialists are proficient in Data Warehouse, ETL, and Data Warehousing. They’re also known for soft skills such as Problem-solving skills, Detail oriented, and Communication skills.

We break down the percentage of Data Warehouse Specialists that have these skills listed on their resume here:

  • Data Warehouse, 11%

    Acted as internal consultant to other System Engineers on Business Intelligence and Database/Data Warehouse related sales.

  • ETL, 9%

    Developed ETL documentation including data flow diagrams, process diagrams, data transformation mapping documentation and business rules.

  • Data Warehousing, 8%

    Performed installation and configuration of data warehousing appliance within customer data centers within the US and abroad (United Kingdom).

  • Business Intelligence, 7%

    Designed and implemented the user interface for Business Intelligence Dashboard reports using OracleAS Portal 10g Release 2 (10.1.4).

  • Architecture, 5%

    Functioned as subject matter expert (SME) for recommending BI requirements and design standards from EDW architecture to development processes.

  • Data Analysis, 4%

    Perform system analysis, data analysis or programming, using a variety of computer

Common skills that a data warehouse specialist uses to do their job include "data warehouse," "etl," and "data warehousing." You can find details on the most important data warehouse specialist responsibilities below.

Problem-solving skills. The most essential soft skill for a data warehouse specialist to carry out their responsibilities is problem-solving skills. This skill is important for the role because "when database problems arise, administrators must troubleshoot and correct the problems." Additionally, a data warehouse specialist resume shows how their duties depend on problem-solving skills: "developed solutions to import and extract data from the data warehouse using ssis, ssas and ssrs. "

Detail oriented. Many data warehouse specialist duties rely on detail oriented. "working with databases requires an understanding of complex systems, in which a minor error can cause major problems," so a data warehouse specialist will need this skill often in their role. This resume example is just one of many ways data warehouse specialist responsibilities rely on detail oriented: "coded and tested mappings to process complex financial data to reconcile journal data with sub-ledger detail data. "

Communication skills. Another skill that relates to the job responsibilities of data warehouse specialists is communication skills. This skill is critical to many everyday data warehouse specialist duties, as "most database administrators work on teams and need to communicate effectively with developers, managers, and other workers." This example from a resume shows how this skill is used: "designed and developed etl process for loading telecommunications information using informatica powercenter for marketing and access line data marts. "

Analytical skills. A big part of what data warehouse specialists do relies on "analytical skills." You can see how essential it is to data warehouse specialist responsibilities because "dbas must monitor a database system’s performance to determine when action is needed." Here's an example of how this skill is used from a resume that represents typical data warehouse specialist tasks: "prepared technical data flow proposals for enhancements and integration of existing third-party data. "

See the full list of data warehouse specialist skills

Compare different data warehouse specialists

Data warehouse specialist vs. Development administrator

A community development administrator is responsible for planning, coordinating, and overseeing a community's social, physical, and economic growth. Your duties typically include supervising the construction of public infrastructures such as roads and schools, providing assistance to both private and public developers, and managing public projects, including parks and hospitals. In addition, you will assist in the development and presentation of capital and operating budgets for assigned departments. You will also be responsible for reviewing the work of subordinates for accuracy and completeness.

If we compare the average data warehouse specialist annual salary with that of a development administrator, we find that development administrators typically earn a $12,545 higher salary than data warehouse specialists make annually.While the two careers have a salary gap, they share some of the same responsibilities. Employees in both data warehouse specialist and development administrator positions are skilled in data warehousing, unix, and business rules.

While similarities exist, there are also some differences between data warehouse specialists and development administrator. For instance, data warehouse specialist responsibilities require skills such as "data warehouse," "etl," "business intelligence," and "architecture." Whereas a development administrator is skilled in "workflow rules," "dashboards," "salesforce," and "ui." This is part of what separates the two careers.

Development administrators tend to make the most money working in the finance industry, where they earn an average salary of $109,748. In contrast, data warehouse specialists make the biggest average salary, $73,865, in the finance industry.development administrators tend to reach similar levels of education than data warehouse specialists. In fact, development administrators are 0.4% more likely to graduate with a Master's Degree and 1.6% less likely to have a Doctoral Degree.

Data warehouse specialist vs. Data engineer

A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.

A career as a data engineer brings a higher average salary when compared to the average annual salary of a data warehouse specialist. In fact, data engineers salary is $31,257 higher than the salary of data warehouse specialists per year.While the salary may differ for these jobs, they share a few skills needed to perform their duties. Based on resume data, both data warehouse specialists and data engineers have skills such as "data warehouse," "etl," and "data warehousing. "

In addition to the difference in salary, there are some other key differences worth noting. For example, data warehouse specialist responsibilities are more likely to require skills like "business intelligence," "architecture," "tableau," and "metadata." Meanwhile, a data engineer has duties that require skills in areas such as "python," "cloud," "scala," and "kafka." These differences highlight just how different the day-to-day in each role looks.

On average, data engineers earn a higher salary than data warehouse specialists. Some industries support higher salaries in each profession. Interestingly enough, data engineers earn the most pay in the technology industry with an average salary of $125,579. Whereas data warehouse specialists have higher pay in the finance industry, with an average salary of $73,865.data engineers earn similar levels of education than data warehouse specialists in general. They're 5.0% more likely to graduate with a Master's Degree and 1.6% less likely to earn a Doctoral Degree.

What technology do you think will become more important and prevalent for data warehouse specialists in the next 3-5 years?

Pavel Chernyavskiy Ph.D.

Assistant Professor of Statistics, University of Wyoming

It is always dangerous to make predictions with technology since things rush. My thought is that access to High-Performance Computing - a centralized high-powered computing cluster - will become more streamlined. This should encourage users to run their complex computing tasks remotely and use their machines for rapid testing and development.

Data warehouse specialist vs. Data modeler

A data modeler is responsible for designing and creating network systems and applications for efficient and secured data storage solutions. Data modelers work closely with the data management team to identify business needs and execute data modeling techniques for comprehensive analysis. They also strategize in improving existing data systems, upgrading infrastructure, and configuring information for compatibility with every business unit. A data modeler must have excellent technical skills, as well as a strong command of programming languages to modify and optimize data models for smooth navigation and access.

On average, data modelers earn higher salaries than data warehouse specialists, with a $22,077 difference per year.By looking over several data warehouse specialists and data modelers resumes, we found that both roles require similar skills in their day-to-day duties, such as "data warehouse," "etl," and "data warehousing." But beyond that, the careers look very different.

There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, a data warehouse specialist is likely to be skilled in "business intelligence," "architecture," "informatica," and "data management," while a typical data modeler is skilled in "data architecture," "sql server," "visualization," and "bi."

Data modelers make a very good living in the pharmaceutical industry with an average annual salary of $115,205. On the other hand, data warehouse specialists are paid the highest salary in the finance industry, with average annual pay of $73,865.Most data modelers achieve a higher degree level compared to data warehouse specialists. For example, they're 7.8% more likely to graduate with a Master's Degree, and 1.1% more likely to earn a Doctoral Degree.

Data warehouse specialist vs. Salesforce administrator

A salesforce administrator is considered the gatekeeper for the marketing data and sales of their employer. The administrators create each user account and identify the proper data access level based on the role of the employees within the company. They perform tasks that help users create reports and reset their passwords for data quality, additional fields, and running of backups. It is also their job to handle the sales and service cloud applications for businesses. They are also business leaders with deep knowledge of the operation of their company.

Salesforce administrators typically earn higher pay than data warehouse specialists. On average, salesforce administrators earn a $8,147 higher salary per year.While their salaries may vary, data warehouse specialists and salesforce administrators both use similar skills to perform their duties. Resumes from both professions include skills like "data warehousing," "informatica," and "java. "While some skills are required in each professionacirc;euro;trade;s responsibilities, there are some differences to note. "data warehouse," "etl," "business intelligence," and "architecture" are skills that commonly show up on data warehouse specialist resumes. On the other hand, salesforce administrators use skills like dashboards, apex, custom objects, and workflow rules on their resumes.In general, salesforce administrators earn the most working in the finance industry, with an average salary of $100,809. The highest-paying industry for a data warehouse specialist is the finance industry.In general, salesforce administrators hold similar degree levels compared to data warehouse specialists. Salesforce administrators are 1.3% less likely to earn their Master's Degree and 2.1% less likely to graduate with a Doctoral Degree.

Types of data warehouse specialist

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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