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Data analysis assistant skills for your resume and career

Updated January 8, 2025
5 min read
Quoted expert
Sarah Whitley Ph.D.
Below we've compiled a list of the most critical data analysis assistant skills. We ranked the top skills for data analysis assistants based on the percentage of resumes they appeared on. For example, 24.2% of data analysis assistant resumes contained data analysis as a skill. Continue reading to find out what skills a data analysis assistant needs to be successful in the workplace.

15 data analysis assistant skills for your resume and career

1. Data Analysis

Here's how data analysis assistants use data analysis:
  • Collected and processed Key Performance Indicator (KPI) data and completed electronic data analysis
  • Monitored and controlled data analysis tracking system for documentation and input accuracy.

2. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how data analysis assistants use r:
  • Created visualizations on R with ggplot and ShinyApps as well as through Tableau.
  • Conducted tutorials on R programming twice a week for 112 students.

3. Analyze Data

Analyze data or data analysis refers to the practice of studying, organizing, and transforming data to make it more useful. It also includes the cleansing of non-useful information which helps in better decision making regarding any particular matter. Analyze data is a practice that is used widely in the field of business, social sciences, and science.

Here's how data analysis assistants use analyze data:
  • Analyze data from VIDA program as it relates to organizational effectiveness, using SPSS.
  • Network Pull and analyze data fro the IBM Parts Logistics distribution network.

4. Technical Support

Technical support or tech support are the services provided by any hardware or software company to users. They help in solving the technical difficulties the customers face with their products or services. Moreover, the tech support employees maintain, manage, and repair the IT faults. They are also responsible for resolving the network problems, installing and configuring hardware and software.

Here's how data analysis assistants use technical support:
  • Managed manual updates and nationwide distributions as well as training coordination and technical support for different financial programs available to clients.
  • Continued providing technical support to EMIS for next 3 years.

5. Behavior Analysis

Behavior analysis is a scientific approach that seeks to comprehend people's behavior.

Here's how data analysis assistants use behavior analysis:
  • Executed behavior assessments as designed by the behavior analysis.

6. Tableau

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

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7. 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 analysis assistants use sas:
  • Performed statistical analysis of successful NCAA basketball teams utilizing SAS.
  • Collected data pertaining to laptop specifications with about 85 variables and imported it as a SAS data set from MS Excel.

8. 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 analysis assistants use python:
  • Created multiple scripts in Python to perform data manipulation and analysis as well as calculations on energy production and data visualization.
  • Sequence data analysis using Python to identify and characterize allele specific expression in poultry infected with avian influenza from RNA-seq data.

9. Access Database

Here's how data analysis assistants use access database:
  • Developed an Access database to monitor and analyze SAP warehouse transactions data to identify obsolete experimental parts for scrapping.
  • Used Microsoft Access databases to manage and rectify data electronically added into the main company database.

10. Data Collection Systems

Here's how data analysis assistants use data collection systems:
  • Developed and implemented data collection systems and other strategies that optimize statistical efficiency and data quality.

11. Statistical Analysis

Here's how data analysis assistants use statistical analysis:
  • Conduct statistical analysis and produce maps using specialized software.
  • Developed data analysis solutions based on predictive, behavioral or other models via statistical analysis and use of relevant modeling techniques.

12. SQL Server

Here's how data analysis assistants use sql server:
  • Developed and maintained applications using extensive knowledge of Microsoft SQL Server and Visual Basic for automation of data import/export processes.
  • Gathered and consolidated data from diverse data sources into a uniform Business Intelligence SQL Server data warehouse.

13. MATLAB

Here's how data analysis assistants use matlab:
  • Learned how to incorporate different MATLAB packages to constructing a modelLeadership and Supervisor Experience
  • Utilized MATLAB to conduct calculations which have to take various factors into account that affect the way a pulsejet runs.

14. SharePoint

Here's how data analysis assistants use sharepoint:
  • Worked on scheduling of meetings with SharePoint and Outlook calendars.
  • Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.

15. ETL

Here's how data analysis assistants use etl:
  • Analyzed different options for heterogeneous database connectivity and defined policies for dealing with different source databases with ETL team.
  • Created automated reports on inventory defect and associate behavioral trends using Amazon's Data Warehouse and proprietary ETL manager.
top-skills

What skills help Data Analysis Assistants find jobs?

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

What data analysis 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 analysis assistant

List of data analysis assistant skills to add to your resume

Data analysis assistant skills

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

  • Data Analysis
  • R
  • Analyze Data
  • Technical Support
  • Behavior Analysis
  • Tableau
  • SAS
  • Python
  • Access Database
  • Data Collection Systems
  • Statistical Analysis
  • SQL Server
  • MATLAB
  • SharePoint
  • ETL
  • Regression Analysis
  • Statistical Methods
  • Linux
  • Linear Regression
  • VBA
  • Data Reports
  • XML
  • PowerPoint
  • GIS
  • Invoice
  • Decision Trees
  • Data Management
  • Epic
  • Computer System
  • LDA
  • Windows
  • Data Processing
  • Financial Data
  • Management System
  • C++
  • Analysis Reports
  • Computer Software
  • HTML
  • Financial Statements
  • Customer Data
  • Sales Data

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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