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Data warehouse specialist skills for your resume and career

Updated January 8, 2025
5 min read
Quoted experts
Saquib Ahmed Ph.D.,
Xingye Qiao Ph.D.
Below we've compiled a list of the most critical data warehouse specialist skills. We ranked the top skills for data warehouse specialists based on the percentage of resumes they appeared on. For example, 10.8% of data warehouse specialist resumes contained data warehouse as a skill. Continue reading to find out what skills a data warehouse specialist needs to be successful in the workplace.

15 data warehouse specialist skills for your resume and career

1. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how data warehouse specialists use data warehouse:
  • Acted as internal consultant to other System Engineers on Business Intelligence and Database/Data Warehouse related sales.
  • Team and individual project responsibilities including data warehouse design and maintenance for company-wide reporting needs.

2. ETL

Here's how data warehouse specialists use etl:
  • Developed ETL documentation including data flow diagrams, process diagrams, data transformation mapping documentation and business rules.
  • Migrated all MVS Focus data mart ETL applications to SAS ETL processes and eliminated FOCUS from Levi MVS environment.

3. Data Warehousing

Here's how data warehouse specialists use data warehousing:
  • Performed installation and configuration of data warehousing appliance within customer data centers within the US and abroad (United Kingdom).
  • Work with systems support team to investigate and resolve hardware or operating system related issues on customer data warehousing appliances.

4. Business Intelligence

Here's how data warehouse specialists use business intelligence:
  • Designed and implemented the user interface for Business Intelligence Dashboard reports using OracleAS Portal 10g Release 2 (10.1.4).
  • Research, design, develop and/or modify reports and dashboards using business intelligence (BI) software.

5. Architecture

Here's how data warehouse specialists use architecture:
  • Functioned as subject matter expert (SME) for recommending BI requirements and design standards from EDW architecture to development processes.
  • Implemented and tuned DB2 UDB on multiple EMC 5430 RAID devices with shared disk architecture.

6. Data Analysis

Here's how data warehouse specialists use data analysis:
  • Perform system analysis, data analysis or programming, using a variety of computer
  • Provided technical support of process through data analysis.

7. Data Quality

Here's how data warehouse specialists use data quality:
  • Create data migration proof of concept and data quality assurance documentation.
  • Maintain and support the processes that enhance the data quality and recency of the address information of the customers.

8. Extraction

Here's how data warehouse specialists use extraction:
  • Gathered technical requirements and executed solution delivery to automate processes such as inventory classification, product type creation and attribute extraction.
  • Design specifications and develop automated data retrieval and extraction programs and data sets for data management and analysis systems.

9. Tableau

Here's how data warehouse specialists use tableau:
  • Developed Tableau, Cognos, and SSRS structures and dashboards for end-user reports.
  • Created Manpower Compensation dashboards using Tableau Dashboard and prepared user stories to create compelling dashboards to deliver actionable insights.

10. Metadata

Metadata is a combination of two words, meta and data. Meta is a prefix defined as more comprehensive, and data means collection of data. Metadata is defined as the data that describes other data. It is used to summarize data about data to make the data easier to analyze.

Here's how data warehouse specialists use metadata:
  • Trained business users to update metadata sections independently.
  • Created various session and repository variables and initialized them in the Initialization Blocks to change metadata dynamically as the environment changes.

11. Informatica

Informatica is a cloud data management that provides data integration and transformation. This is an ETL extract, transform and load tool that helps connect and retrieve data from multiple data sources and load it into various target databases and file systems.

Here's how data warehouse specialists use informatica:
  • Developed data load and synchronization through Informatica Cloud to MSSQL 2012.
  • Scheduled and monitored the Informatica Server Manager daily batches and sessions.

12. Data Management

The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

Here's how data warehouse specialists use data management:
  • Transitioned to Data Manager -Support role to initiate multiple process enhancement projects in Data management.
  • Developed strategy for the centralization of data management for one enterprise across multiple acquired organizations.

13. Ssis

SSIC stands for Singapore Standard Industrial Classification. It is a national standard for classifying economic activities such as population censuses, household and business surveys, financial databases etc.

Here's how data warehouse specialists use ssis:
  • Trained developers and management on SSIS packages.
  • Trained developers on SSIS and SSAS.

14. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how data warehouse specialists use sas:
  • Developed the SAS enterprise guide data research and ad hoc reports and stored procedures.
  • Designed the analysis strategy for Customer Satisfaction Survey data and develop SAS macros for automatically reporting process.

15. SSRS

Here's how data warehouse specialists use ssrs:
  • Designed reports for time management system and migrated reports from Access to MS SSRS.
  • Created management reports with SSRS as well as SQL and MDX queries.
top-skills

What skills help Data Warehouse Specialists find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What data warehouse specialist skills would you recommend for someone trying to advance their career?

Saquib Ahmed Ph.D.

Assistant Professor, Engineering Technology, SUNY Buffalo State

A combination of fundamental scientific understanding married with data science knowledge (machine learning, neural networks, etc.); it is crucial to juxtapose these against the backdrop of industrial landscape, as well as state & federal policies.

What type of skills will young data warehouse specialists need?

Xingye Qiao Ph.D.Xingye Qiao Ph.D. LinkedIn profile

Associate Professor, Binghamton University

Computing skills are becoming increasingly important, as statistics embraces the data science revolution. Students need to be able to program (using R or Python or some other language), take the data from the web, reshape it, manipulate it to allow easier downstream analysis, and be able to communicate the finding professionally.

All these are, of course, on top of statistical thinking. Competitive student candidates should not only be an order-taker. They should ask hard questions and think about the data problem in the context of the environment that generates the said data. This is related to knowledge of the domains, human contexts, and all kinds of ethical considerations.
Do you want to know more?
Read more about what experts have to say about data warehouse specialist

List of data warehouse specialist skills to add to your resume

Data warehouse specialist skills

The most important skills for a data warehouse specialist resume and required skills for a data warehouse specialist to have include:

  • Data Warehouse
  • ETL
  • Data Warehousing
  • Business Intelligence
  • Architecture
  • Data Analysis
  • Data Quality
  • Extraction
  • Tableau
  • Metadata
  • Informatica
  • Data Management
  • Ssis
  • SAS
  • SSRS
  • Unix
  • PL/SQL
  • Mappings
  • Teradata
  • Data Marts
  • Microsoft SQL Server
  • Technical Support
  • Business Rules
  • Java
  • Data Integrity
  • Sybase
  • Database Objects
  • Data Extraction
  • SSAS
  • DB2
  • Profiling
  • DataStage
  • Oracle 10G
  • EDW
  • DB
  • XML
  • OLAP
  • Customer Data
  • Data Issues
  • MicroStrategy
  • Windows
  • RDBMS
  • Toad
  • Data Transformation
  • Data Validation
  • Data Flow
  • Linux
  • Physical Data Models

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.

Updated January 8, 2025

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