What skills should a Data Warehousing Specialist put on a resume?

O*NET rates Critical Thinking, Reading Comprehension, Programming, Complex Problem Solving, and Active Listening among the most important skills for this occupation. Name the ones that are genuinely yours and show where you used them. A resume that lists skills you do not have is weaker than one that lists fewer.

What software should a Data Warehousing Specialist list?

Software recorded for this occupation includes Adaptive Metadata Manager, Adeptia ETL Suite, Advanced business application programming ABAP, Altova MapForce, and Amazon DynamoDB. Applicant tracking systems match on the exact product name, so write the tool as the posting writes it rather than describing it in general terms.

What other job titles cover Data Warehousing Specialist work?

O*NET records 21 titles for this occupation, including Data Warehouse Analyst, Data Warehouse Solution Architect, Data Warehouse ETL Developer, and ETL Developer. Searching only your own job title hides most of the openings you could apply to.

What qualifications does a Data Warehousing Specialist need?

In O*NET's survey of people doing this job, 78% reported their level of education as "Bachelor's Degree". That is what current postholders reported, not a requirement any single employer sets.

Will this resume pass an ATS for a Data Warehousing Specialist role?

No tool outside an employer can tell you how that employer's system is configured, including ours. What you can control is that the resume parses cleanly, names the work in the words the posting uses, and does not claim anything you cannot back up.

Data Warehousing Specialist resume example

A resume for a Data Warehousing Specialist needs to show the work itself: design, model, or implement corporate data warehousing activities. Day to day that means work like this: develop data warehouse process models, including sourcing, loading, transformation, and extraction; verify the structure, accuracy, or quality of warehouse data. Recruiters and applicant tracking systems both read for the tasks and tools this role actually involves, so the strongest resume names them in your own experience rather than describing the job in the abstract. Below are the tasks O*NET records for this occupation, the software and tools it uses, the titles it is advertised under, and the skills worth naming if they are genuinely yours.

Also advertised as

The same job is posted under many titles. Searching only your own job title hides most of the openings you could apply to.

Data Warehouse Analyst
Data Warehouse Solution Architect
Data Warehouse ETL Developer
ETL Developer
ETL Tester
Analytics Manager
Big Data Engineer
Data Management Engineer
Data Management Manager
Data Management Specialist
Data Migration Specialist
Data Quality Analyst
Data Storage Specialist
Data Warehouse Developer
Data Warehouse Engineer
Data Warehouse Programmer
Data Warehouse Specialist
Data Warehousing Engineer

O*NET records 21 titles for this occupation in total.

What this work actually involves

Tasks recorded for this occupation, in O*NET's words. If your experience covers one of these, it belongs on your resume in your own words.

Develop data warehouse process models, including sourcing, loading, transformation, and extraction.
Verify the structure, accuracy, or quality of warehouse data.
Map data between source systems, data warehouses, and data marts.
Develop and implement data extraction procedures from other systems, such as administration, billing, or claims.
Design and implement warehouse database structures.
Develop or maintain standards, such as organization, structure, or nomenclature, for the design of data warehouse elements, such as data architectures, models, tools, and databases.
Provide or coordinate troubleshooting support for data warehouses.
Write new programs or modify existing programs to meet customer requirements, using current programming languages and technologies.
Design, implement, or operate comprehensive data warehouse systems to balance optimization of data access with batch loading and resource utilization factors, according to customer requirements.
Perform system analysis, data analysis or programming, using a variety of computer languages and procedures.
Create supporting documentation, such as metadata and diagrams of entity relationships, business processes, and process flow.
Create or implement metadata processes and frameworks.

18 tasks are recorded in total; these are the most central.

Example bullets for this role

Built from this occupation's own tasks. The brackets stay empty on purpose: we will not invent a number for you, and a fabricated metric is the fastest way to lose an interview you had already won.

Develop data warehouse process models, including sourcing, loading, transformation, and extraction, for [who or what it served], at [what volume].
Verify the structure, accuracy, or quality of warehouse data, for [who or what it served], at [what volume].
Map data between source systems, data warehouses, and data marts, for [who or what it served], at [what volume].
Develop and implement data extraction procedures from other systems, such as administration, billing, or claims, for [who or what it served], at [what volume].

Software used in this role

Recorded for this occupation by O*NET. An applicant tracking system matches the exact product name, so write the tool the way the posting writes it.

Adaptive Metadata Manager
Adeptia ETL Suite
Advanced business application programming ABAP
Altova MapForce
Amazon DynamoDB
Amazon Elastic Compute Cloud EC2
Amazon Redshift
Amazon Simple Storage Service S3
Amazon Web Services AWS software
Apache Avro
Apache Cassandra
Apache Flume
Apache Hadoop
Apache HBase

158 software entries are recorded in total.

Tools and equipment

The physical equipment this occupation is recorded as using. Worth naming when a posting asks for it by name.

Computer servers
Data warehouse appliances
Desktop computers
Laptop computers
Mainframe computers
Multi-line telephone systems
Personal computers
Storage servers

Skills an ATS reads for

Worth naming only if they are genuinely yours. Keyword overlap is one input to a resume's score, not a verdict.

SQL
ETL
data modeling
Python
Spark
data warehousing
AWS
Power BI
SAP
Tableau

What this job rates as most important

O*NET rates every skill for importance to this occupation. These are the highest rated, in order.

01Critical Thinking
02Reading Comprehension
03Programming
04Complex Problem Solving
05Active Listening
06Systems Analysis
07Judgment and Decision Making
08Speaking
09Systems Evaluation
10Writing

Knowledge areas

The subject knowledge this occupation draws on, rated by importance.

Computers and Electronics
Mathematics
English Language
Design

What qualifications people in this job have

From O*NET's survey of people doing this work. This is what postholders reported, not a requirement any single employer sets.

78%Bachelor's Degree
4%High School Diploma, or the equivalent
4%Post-Secondary Certificate, awarded for training completed after high school

What level this role is pitched at

O*NET places this occupation in “Considerable Preparation Needed”. Most of these occupations require a four-year bachelor's degree, but some do not.

A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.

Common questions

What does a Data Warehousing Specialist do?: Design, model, or implement corporate data warehousing activities. Day to day that includes work like develop data warehouse process models, including sourcing, loading, transformation, and extraction and Verify the structure, accuracy, or quality of warehouse data.
What skills should a Data Warehousing Specialist put on a resume?: O*NET rates Critical Thinking, Reading Comprehension, Programming, Complex Problem Solving, and Active Listening among the most important skills for this occupation. Name the ones that are genuinely yours and show where you used them. A resume that lists skills you do not have is weaker than one that lists fewer.
What software should a Data Warehousing Specialist list?: Software recorded for this occupation includes Adaptive Metadata Manager, Adeptia ETL Suite, Advanced business application programming ABAP, Altova MapForce, and Amazon DynamoDB. Applicant tracking systems match on the exact product name, so write the tool as the posting writes it rather than describing it in general terms.
What other job titles cover Data Warehousing Specialist work?: O*NET records 21 titles for this occupation, including Data Warehouse Analyst, Data Warehouse Solution Architect, Data Warehouse ETL Developer, and ETL Developer. Searching only your own job title hides most of the openings you could apply to.
What qualifications does a Data Warehousing Specialist need?: In O*NET's survey of people doing this job, 78% reported their level of education as "Bachelor's Degree". That is what current postholders reported, not a requirement any single employer sets.
Will this resume pass an ATS for a Data Warehousing Specialist role?: No tool outside an employer can tell you how that employer's system is configured, including ours. What you can control is that the resume parses cleanly, names the work in the words the posting uses, and does not claim anything you cannot back up.

Related roles

Occupations O*NET records as closest to this one, and worth looking at if this search is not moving.

What this page cannot tell you

No tool outside an employer can tell you how that employer’s ATS is configured, including ours.
This page makes no claim about pay, demand or how many people hold this job. O*NET does not publish that here and we will not estimate it.
Keyword overlap is one input to a resume’s score, not a verdict on you. A resume that names skills you do not have is worse than one that names fewer.

If this is the job you are aiming at, the guide to tailoring a resume covers how to aim one posting properly, and building and exporting a resume here is free.

Occupation data from the O*NET 29.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under CC BY 4.0. O*NET is a trademark of USDOL/ETA. SpartanResume is not endorsed by USDOL/ETA.