Data Abstractor Resume Example & Writing Guide
Use this Data Abstractor resume example and guide to improve your career and write a powerful resume that will separate you from the competition.
Data abstractors are responsible for creating data sets that can be used for analysis, reporting, or other purposes. They typically work in an organization’s IT department or alongside data analysts and other data scientists on projects that involve collecting and organizing information in a way that makes it easy for others to understand.
Because this role involves working with data from all kinds of sources, data abstractors often have diverse backgrounds. Some have previously worked as accountants or auditors, while others may have been in the field of journalism or even journalism school. And some data abstractors are fresh out of college with a bachelor’s degree in something unrelated like English or psychology.
Here’s some tips and an example resume to help you write yours.
How to Write a Data Abstractor Resume
Here’s how to write a data abstractor resume of your own.
Write Compelling Bullet Points
Bullet points are the most effective way to showcase your experience and qualifications. But rather than simply listing your responsibilities, you can make your bullet points much more interesting and compelling by using specific numbers and statistics.
For example, rather than saying you “managed data for large-scale projects,” you could say that you “managed data for 10+ projects with over 100 data points each, resulting in a 15% increase in efficiency.”
The second bullet point is much more specific and provides a clear indication of the scale of the project and the level of your involvement. It also provides a quantifiable result—a 15% increase in efficiency—which is always a good thing!
Identify and Include Relevant Keywords
When you apply for a data abstractor role, your resume is likely to go through an applicant tracking system (ATS). This program will scan your resume for certain keywords related to the position, like “data analysis” or “database management.” If your resume doesn’t have enough of the right terms, the ATS might automatically reject your application.
To increase your chances of getting an interview, make sure to include keywords throughout all the sections of your resume. You can find a list of common data abstractor keywords below:
- Data Abstracting
- Data Entry
- Data Quality
- Data Warehousing
- Data Analysis
- Extract, Transform, Load (ETL)
- Business Analysis
- Databases
- SQL
- Transact-SQL (T-SQL)
- Business Intelligence (BI)
- Healthcare Information Technology (HIT)
- Hospitals
- Healthcare
- Requirements Analysis
- Patient Safety
- Electronic Medical Record (EMR)
- Master Data Management
- U.S. Health Insurance Portability and Accountability Act (HIPAA)
- Clinical Research
- HL7 Standards
- Electronic Data Capture (EDC)
- Clinical Trials
- Good Clinical Practice (GCP)
- SQL Server
- Database Design
- Healthcare Management
- Negotiation
- Microsoft Access
- Data Analysis Tools
Showcase Your Technical Skills
As a data abstractor, you will be responsible for extracting data from various sources and then inputting that data into a central database. In order to do this effectively, you will need to be proficient in the use of data extraction software, as well as data entry software. Additionally, you should have a strong understanding of database management concepts and be able to use programs like Microsoft Access and SQL to manage data.