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Research assistant vs data analyst

The differences between research assistants and data analysts can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a research assistant, becoming a data analyst takes usually requires 2-4 years. Additionally, a data analyst has an average salary of $74,342, which is higher than the $42,896 average annual salary of a research assistant.

The top three skills for a research assistant include patients, lab equipment and data collection. The most important skills for a data analyst are data analysis, python, and power bi.

Research assistant vs data analyst overview

Research AssistantData Analyst
Yearly salary$42,896$74,342
Hourly rate$20.62$35.74
Growth rate19%11%
Number of jobs51,080167,520
Job satisfaction5-
Most common degreeBachelor's Degree, 74%Bachelor's Degree, 65%
Average age3844
Years of experience24

What does a research assistant do?

Research assistants give support to researchers or other professionals who need assistance as they conduct experiments, studies, or other research projects. Research assistants help in conducting experiments, surveys, or interviews under the supervision of the primary researcher. They also work on research activities such as literature reviews, collect data, assist in interpreting results, prepare designs or visuals for the presentation of the results, and even ensure that all the tools and documentation related to the study are properly organized. They also assist in fact-checking the output and ensure that the data presented are accurate. Research assistants usually possess an academic background that is related to the main research topic.

What does a data analyst do?

Data analysts are responsible for interpreting the company's statistics and providing sound recommendations to the organization. They manage the organization's data sets, usually related to market performance, finance, or human resources. They are in charge of studying the available data, spotting trends, interpreting what the data and the trends mean, and recommending suggestions that will help the organization perform better. Their recommendations should also be relevant and backed up with strong analyses. Data analysts are expected to have a good grasp of the current market trends in the industry.

Research assistant vs data analyst salary

Research assistants and data analysts have different pay scales, as shown below.

Research AssistantData Analyst
Average salary$42,896$74,342
Salary rangeBetween $28,000 And $64,000Between $53,000 And $103,000
Highest paying CityNew Brunswick, NJRichmond, CA
Highest paying stateNew JerseyNew Jersey
Best paying companyJPMorgan Chase & Co.The Citadel
Best paying industryHealth CareFinance

Differences between research assistant and data analyst education

There are a few differences between a research assistant and a data analyst in terms of educational background:

Research AssistantData Analyst
Most common degreeBachelor's Degree, 74%Bachelor's Degree, 65%
Most common majorPsychologyBusiness
Most common collegeHarvard UniversityNorthwestern University

Research assistant vs data analyst demographics

Here are the differences between research assistants' and data analysts' demographics:

Research AssistantData Analyst
Average age3844
Gender ratioMale, 46.3% Female, 53.7%Male, 50.2% Female, 49.8%
Race ratioBlack or African American, 8.6% Unknown, 6.0% Hispanic or Latino, 15.4% Asian, 16.9% White, 52.1% American Indian and Alaska Native, 1.0%Black or African American, 7.5% Unknown, 4.4% Hispanic or Latino, 8.5% Asian, 14.5% White, 64.9% American Indian and Alaska Native, 0.2%
LGBT Percentage8%12%

Differences between research assistant and data analyst duties and responsibilities

Research assistant example responsibilities.

  • Update twitter profile and manage social media campaign.
  • Manage social media publications to spread awareness and notifications on Facebook.
  • Evaluate patients' study eligibility via medical history, obtain informed consent, enroll patients, and achieve enrollment quotas.
  • Learned many laboratory techniques, assays, and protocols; western blot, real-time PCR, tick collection, DNA extraction.
  • Analyze the effects of estrogen on various tissues using molecular biology techniques such as RT-PCR, RNA and DNA extractions.
  • Gain familiarity with research terminology, development procedures, data collection and management, and IRB considerations.
  • Show more

Data analyst example responsibilities.

  • Manage patient s data in UNIX system.
  • Manage loan performance in Hyperion Financials using SQL and PL/SQL tools.
  • Manage and contribute to EDI processes ensuring HIPAA compliance and access to clearing house review on individual case status.
  • Develop Java application to automate reformatting of text files for an internal application.
  • Execute deterministic modeling and Monte Carlo simulations in MATLAB to achieve greater mathematical confidence in results obtain from analysis.
  • Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
  • Show more

Research assistant vs data analyst skills

Common research assistant skills
  • Patients, 9%
  • Lab Equipment, 9%
  • Data Collection, 8%
  • Laboratory Equipment, 5%
  • Research Projects, 5%
  • Data Analysis, 5%
Common data analyst skills
  • Data Analysis, 10%
  • Python, 7%
  • Power Bi, 6%
  • Data Management, 6%
  • Visualization, 5%
  • Data Quality, 4%

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