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Development research analyst skills for your resume and career

Updated January 8, 2025
6 min read
Quoted experts
Stephen A. Matthews Ph.D.,
Jane Caldwell
Below we've compiled a list of the most critical development research analyst skills. We ranked the top skills for development research analysts based on the percentage of resumes they appeared on. For example, 14.1% of development research analyst resumes contained data analysis as a skill. Continue reading to find out what skills a development research analyst needs to be successful in the workplace.

15 development research analyst skills for your resume and career

1. Data Analysis

Here's how development research analysts use data analysis:
  • Provided research and data analysis targeting W&M's top 50 cities/regions warranting increased development officer and university event activity.
  • Produced data analysis sets and developed programs to perform data manipulations in supporting study statistician requirements.

2. SQL

Here's how development research analysts use sql:
  • Prepared monthly budget recommendations based on historical trends and feasibility; assisted other departments during transition to SQL server based reporting.
  • Designed and developed SQL Server database per study protocol requirements.

3. 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 development research analysts use r:
  • Utilize R to automate lexical analysis for institutional surveys.
  • Automated the generation of several reports using R to provide more time for proactive and creative projects.

4. Visualization

Here's how development research analysts use visualization:
  • Developed various statistical models in sandbox and integrated models in to Tableau to have better visualization.
  • Authored and delivered presentation introducing Tableau to the advertising sales team, allowing exposure to improvements in data visualization.

5. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how development research analysts use java:
  • Worked on various projects for desktop, mobile and Java Card applications as a key development team member.
  • Participated in the development of a Java Swing GUI tool to display the results of running the algorithm.

6. 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 development research analysts use sas:
  • Analyzed large national longitudinal data set using SAS to assess the relationship between behavioral problems and obesity in children.
  • Developed user-friendly MS Access database used for data collection/entry; used SAS to produce several descriptive statistical reports for departmental statisticians.

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7. SharePoint

Here's how development research analysts use sharepoint:
  • Entered Task Orders in to Sharepoint for review by multiple departments.
  • Provide training for R&D associates on database and SharePoint usage.

8. Market Research

Market research is a collective effort to collect information related to a consumer's needs and wants. It is a systematic approach that involves recording and analysis of both qualitative and quantitative data. Market research helps a business to identify a target market correctly and identify the gaps in potential consumer's expectations.

Here's how development research analysts use market research:
  • Utilized programs for mapping, design, market research, and socioeconomic information and trends.
  • Performed market research of select cities for potential apartment complexes.

9. MATLAB

Here's how development research analysts use matlab:
  • Performed data parsing and modeling in Excel and Matlab.
  • Executed deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtained from analysis.

10. Product Development

Product development is the complete procedure of creating a product from concept until release of the final product. Product development has many stages after which a product is released into the market. Identifying the need, creating the opportunity, conceptualizing a product, and providing a solution, all are different stages of product development.

Here's how development research analysts use product development:
  • Provided support to engineering, technicians from product development phase through to manufacturing.
  • Analyzed competitors' product ingredients and researched new product development.

11. 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 development research analysts use data collection:
  • Executed technical implementation of wireless barcode based automated data collection solution in all 6 North American Parts Distribution Centers.
  • Executed daily break/fix support in multiple local/remote IT environments with main focus on wireless data collection and printing.

12. Research Findings

Here's how development research analysts use research findings:
  • Lead effort to update internally developed Saas tools with new research findings.
  • Applied qualitative and quantitative techniques to interpret data, develop reports, and generate substantiated recommendations based on research findings.

13. Statistical Analysis

Here's how development research analysts use statistical analysis:
  • Conducted statistical analysis looking at household composition, income, employment history and behavior of population more likely to commit fraud.
  • Performed financial statistical analysis using qualitative and quantitative analysis, testing process, testing methodology analysis, and defect reporting tools.

14. DOD

Definition of Done (DoD) is a set of deliverables that are needed to devise software. These deliverables are valuable to the system and can be exemplified by writing code, coding comments, unit testing, integration testing, design documents, release notes, and so on.

Here's how development research analysts use dod:
  • Served as a departmental liaison to provide support in person, remotely, via telephone and/or email to other DoD branches.
  • Interfaced with internal and external contractors as well as Army and DoD personnel to ensure program objectives and operational readiness.

15. Research Projects

Here's how development research analysts use research projects:
  • Conducted over 300 research projects to provide services to AIG's clients, brokers, and employees via telephone and E-mail.
  • Created and implemented primary research projects and tested marked new products.
top-skills

What skills help Development Research Analysts find jobs?

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

What skills stand out on development research analyst resumes?

Stephen A. Matthews Ph.D.Stephen A. Matthews Ph.D. LinkedIn profile

Liberal Arts Professor of Sociology, Anthropology, Demography and Geography Director, Graduate Program in Demography Faculty Director, Graduate Programs in Applied Demography Editor, Spatial Demography Associate Editor, Mathematical Population Studies, Pennsylvania State University

Our program is too broad and complex to answer this in any meaningful way (see my opening paragraph). I hope our Ph.D. graduates have both soft skills (e.g., people skills, communication (writing/speaking), team science/work skills, critical thinking skills) as well as the technical skills (e.g., data analysis, data visualization, data ethics, IRB experience, etc.). As mentioned, I also hope they are flexible and adaptive vis-a-vis other perspectives (interdisciplinary outlook).

What development research analyst skills would you recommend for someone trying to advance their career?

Jane CaldwellJane Caldwell LinkedIn profile

Senior Lecturer Director of Undergraduate Studies, University of Pittsburgh

This is likely not a good time to take a gap year as the opportunities to use that time productively are limited. However, if a graduate must take a gap year, it's always useful to develop technology and analytical skills. There are online courses available to develop these skills.

What type of skills will young development research analysts need?

Matthew Fisher SFSU, Hult, SMCMatthew Fisher SFSU, Hult, SMC LinkedIn profile

Business Instructor, San Francisco State University

Students will need to have some exposure to more technical skills. I say "exposure" for the fact that not everyone needs to know how to code, but understanding what coders do goes a long way in empowering young professionals to work in roles adjacent to those with technical skills that they might not have. However, the core skill that will not be outmoded anytime soon is to have robust critical thinking skills and a motivation to keep learning. While firms may seek to fill an immediate need position, it's always better to hire individuals who can learn for the fact that you can almost always teach specific skills.

What soft skills should all development research analysts possess?

Dr. Anne Paulet Ph.D.Dr. Anne Paulet Ph.D. LinkedIn profile

Professor, History Department, Humboldt State University

In terms of soft skills, those probably won't change much, they will simply be practiced differently. Being flexible is important since jobs may switch between home and office and since one may be dealing with someone else working from home and the challenges that can present-what cat owner hasn't had their cat walk in front of the camera or step on the wrong computer key? The ability to work in groups will continue to have importance as well as the ability to manage your own time and meet deadlines. At the same time, the nature of computer camera interaction means that people will have to learn to "read" others differently than they would in an in-person environment. Many recent articles have talked about how it is harder to read facial cues or detect emotional responses on the computer. Again, those presently taking synchronous classes have the opportunity to practice these skills--providing students turn on their cameras rather than relying only on audio. If the past year has demonstrated anything, it is that people need to be more culturally aware and sensitive and also be able to work with people of diverse backgrounds. History classes are a great way for students to better understand what others have gone through and how that might impact interaction today. Additionally, history classes-as well as college in general-should provide students with the skills to help create the kind of changes in institutions and companies that need to be made to make them more inclusive. Perhaps the greatest skill college students have is the ability to learn. I never intended to teach online, yet here I am doing just that. It required learning new ways to approach teaching, reconsideration of the ways students learned in the new environment, and figuring out new online programs to make all this happen. I was forced to do this as a result of the pandemic but most students will find that this sort of adjustment-whether foreseen or not-will be a regular part of their career path. The ability to learn these new skills, to apply new methods and to approach issues in new and innovative ways will help them stand out when it comes to looking for a job.

List of development research analyst skills to add to your resume

Development research analyst skills

The most important skills for a development research analyst resume and required skills for a development research analyst to have include:

  • Data Analysis
  • SQL
  • R
  • Visualization
  • Java
  • SAS
  • SharePoint
  • Market Research
  • MATLAB
  • Product Development
  • Data Collection
  • Research Findings
  • Statistical Analysis
  • DOD
  • Research Projects
  • Analytical Methods
  • Financial Analysis
  • GIS
  • Government Agencies
  • In-Depth Research
  • GMP
  • Technical Reports
  • Method Development
  • HPLC
  • Analytical Techniques
  • Market Analysis
  • Sops
  • Market Trends
  • Product Quality
  • API
  • Method Validation
  • Management System
  • GC
  • USP
  • Ad-Hoc Reports
  • Web Programming
  • Troubleshoot
  • PowerPoint
  • Lims
  • ISO
  • Bloomberg
  • RAN
  • FDA
  • GUI
  • Equities

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.

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