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Data assistant skills for your resume and career

Updated January 8, 2025
6 min read
Quoted experts
Dr. Todd Wittman Ph.D.,
Sarah Whitley Ph.D.
Data assistant example skills
Below we've compiled a list of the most critical data assistant skills. We ranked the top skills for data assistants based on the percentage of resumes they appeared on. For example, 14.5% of data assistant resumes contained data entry as a skill. Continue reading to find out what skills a data assistant needs to be successful in the workplace.

15 data assistant skills for your resume and career

1. Data Entry

Data entry means entering data into a company's system with the help of a keyboard. A person responsible for entering data may also be asked to verify the authenticity of the data being entered. A person doing data entry must pay great attention to tiny details.

Here's how data assistants use data entry:
  • Created program-specific databases and instructed staff on data entry/editing/retrieval procedures using self-prepared documentation/oral presentation.
  • Provided leadership for modification and testing of existing company programs, additional data entry requirements and new high value projects.

2. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how data assistants use data collection:
  • Assisted in the data collection and data management of outcomes related to clinical data for patients within the Weight Management Program.
  • Conducted follow-up questionnaire data collection for subjects enrolled in a large cohort study and enter the data directly into database.

3. Patients

Here's how data assistants use patients:
  • Enrolled new patients into the study and sent out monthly reminder notices to CHOICE coordinators regarding missing data.
  • Provide adequate supervision over patients during daily activities to insure they are functioning at a normal level.

4. 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 assistants use data management:
  • Assisted Clinical Data Coordinators with data management, statistical data analysis and a variety of data management functions.
  • Developed and implemented schedule and training plans for data management upgrades to engineering and production centers.

5. Research Data

Here's how data assistants use research data:
  • Clarify inconsistencies with Clinical Study Team to ensure integrity and quality of research data.
  • Inputted and maintained a large volume of research data of over 5000 samples on violence against women.

6. Access Database

Here's how data assistants use access database:
  • Input STDAP vouchers into Access Database.
  • Input TCDHH Applications into Access Database.

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7. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how data assistants use python:
  • Processed a data set of information of 200 + employees by using Excel and Python package NumPy.
  • Used Python Geopy to locate coordinates (latitude and longitude) for the locations of job posting from job dataset.

8. Data Analysis

Here's how data assistants use data analysis:
  • Utilized data analysis and research to improve existing processes and create new projects; increasing efficiency.
  • Assisted in standardization of day to day tasks and data analysis procedures of Supply Chain Operations.

9. 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 assistants use sas:
  • Applied relative software such like SAS to study the relationship if teachers majoring in art courses need more grants than science teachers
  • Developed charts, graphs and built statistical models in SAS using data retrieved from a SQL Server database.

10. Alumni

Alumni is a term used for graduate students of a school, college, university, or any other educational institution. The term is also used for employees of a company or a previous member of a group or an organization that has been retired. Alumni represent the institutions or organizations that they were previously associated with.

Here's how data assistants use alumni:
  • Updated alumni records with current information including addresses, phone numbers, and any other pertinent information
  • Manage information for Alumni Career database.

11. Tableau

Here's how data assistants use tableau:
  • Used Tableau BI tool to generate impactful, interactive visualizations.

12. Data Integrity

Data integrity denotes the consistency or accuracy validation of data in the whole lifecycle of data. It ensures the security of traceability and search-ability of all data in a person's device to the source.

Here's how data assistants use data integrity:
  • Identified undetected data integrity issues and discrepancies between data sources and the company database.
  • Communicated status and project issues to Data Integrity Coordinator

13. Management System

A management system is a set of policies, processes, and procedures taken by an organization or a business to ensure it can fulfill its tasks and achieve its objectives. A management system makes sure that the company excels financially and improves the user experience. The management system also takes care of the worker's and employees' needs and manages their workload and oversees their performance. Apart from interior matters of the company, a management system also deals with exterior matters like legislations, tax matters, and law issues.

Here's how data assistants use management system:
  • Establish and maintain organized tracking spreadsheets and electronic file management system to ensure accountability for data warehouse entries.
  • Uploaded completed data into Company's Management System.

14. Sops

A standard operating procedure or simply SOP is a particular operation that needs to be done in accordance with the rules and guidelines of a company or an industry. It is an important way for a company to run smoothly, especially in small businesses. It is like a practice wherein everything an individual or an employee is under a particular standard that is implemented.

Here's how data assistants use sops:
  • Assured the quality and consistency of work using current Standard Operating Procedures (SOPs) and Trial Specific Work Instructions/Guidelines.
  • Followed up with outstanding monitoring reports with the CRA, according to SOPs.

15. FDA

The Food and Drug Administration (FDA) is a division of the US Department of Health and Human Services that regulates the production and sale of food, pharmaceutical products, medical equipment, and other consumer goods, as well as veterinary medicine. The FDA is now in charge of overseeing the manufacture of products like vaccines, allergy treatments, and beauty products.

Here's how data assistants use fda:
  • Created Adverse Drug Experience (ADE) reports for FDA submission using customized system.
  • contract working for Phlexglobal) *Assisted with the preparation for an NDA filing and a successful on-site FDA inspection.
top-skills

What skills help Data Assistants find jobs?

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

What skills stand out on data assistant resumes?

Dr. Todd Wittman Ph.D.

Associate Professor, The Citadel

I would strongly recommend any mathematics major to get a good background in statistics and computer programming, even if that is not going to be their primary field of study. You can still concentrate on the topics that interest you, but it is important to diversify your skill set.

Getting involved in a research project tells a prospective employer that you have done work beyond the classroom. It shows that you can tackle a difficult problem that does not have an answer in the back of the textbook. At most colleges and universities, faculty are eager to work with bright undergraduate students on projects. Students are often intimidated by their faculty, but it does not hurt to ask. It might result in an interesting research experience, internship, or even a lead on a job after graduation.

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

Sarah Whitley Ph.D.

Associate Professor, Career Track, Washington State University

communication-frame communication with respect to varied communication abilities and cultural differences; critical thinking-accurately summarize and interpret data and effectively communicate actions and rationale, recognizing diverse perspectives; critical thinking-multi-task well in a fast-paced environment; leadership-seek out and leverage diverse resources and feedback from others to inform direction and use innovative thinking to go beyond traditional methods; teamwork-collaborate with others to achieve common goals and effectively manage conflict, interact with and respect diverse personalities, and meet ambiguity with resilience; technology-navigate change and be open to learning new technologies
Do you want to know more?
Read more about what experts have to say about data assistant

List of data assistant skills to add to your resume

Data assistant skills

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

  • Data Entry
  • Data Collection
  • Patients
  • Data Management
  • Research Data
  • Access Database
  • Python
  • Data Analysis
  • SAS
  • Alumni
  • Tableau
  • Data Integrity
  • Management System
  • Sops
  • FDA
  • R
  • Data Processing
  • SPSS
  • Financial Data
  • Data Quality
  • Epic
  • IRB
  • SQL Server
  • Technical Assistance
  • Statistical Analysis
  • Administrative Tasks
  • Data Reports
  • Patient Data
  • GIS
  • Statistical Data
  • QC
  • HIPAA
  • Computer System
  • Front Desk
  • Database Systems
  • CRF
  • Data Accuracy
  • PowerPoint
  • Analyze Data
  • HTML
  • EDC
  • Windows
  • Travel Arrangements
  • Remote Sensing
  • Clinical Trial Data
  • Google Drive
  • SharePoint
  • HIV

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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