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Part Time Entry Level Data Analyst Jobs (NOW HIRING)

The Lead Data Analyst will participate in data management, statistical analysis, assist with grant ... Fixed Term (Fixed Term) Time Type: Part time Scheduled Weekly Hours: 18 Position Work Location:

Data Analyst II

$55K - $83K/yr

... Part-time Full Time Salary Range Min - Max (USD) $55700 - $83500 Country United States Date 30-Jun ... Analyze data and design/generate reports that evaluate program performance for both internal and ...

Data Analyst II

$55K - $83K/yr

... Part-time Full Time Salary Range Min - Max (USD) $55700 - $83500 Country United States Date 30-Jun ... Analyze data and design/generate reports that evaluate program performance for both internal and ...

Remote Data Entry Clerk

Atlanta, GA · Remote

$16.25 - $22/hr

Remote Data Entry Clerk - Typing - Part Time Entry Level This is your opportunity to begin a long-lasting career with unlimited opportunity. Discover the freedom you've been looking for by taking a ...

Remote Data Entry Clerk

Columbus, OH · Remote

$16.50 - $22/hr

Remote Data Entry Clerk - Typing - Part Time Entry Level This is your chance to begin a lifelong career with endless opportunity. Find the liberty you've been trying to find by taking a moment to ...

Remote Data Entry Clerk

Fayetteville, NC · Remote

$15.50 - $21/hr

Remote Data Entry Clerk - Typing - Part Time Entry Level This is your chance to begin a long-lasting career with endless opportunity. Find the flexibility you've been trying to find by taking a ...

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Part Time Entry Level Data Analyst information

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How much do part time entry level data analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for part time entry level data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

How to get a job as a data analyst with no experience?

To get a part-time entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or tutorials. Gaining familiarity with basic statistical concepts and creating a portfolio of simple projects can also improve your chances, along with applying for internships or volunteer opportunities to gain practical experience.

What is a part time entry level data analyst?

A part time entry level data analyst is someone who works fewer hours than a full-time employee and is typically new to the field of data analysis. Their main responsibilities include collecting, cleaning, and interpreting data to help organizations make informed decisions. They often use basic tools like Excel or introductory data analysis software, and work under the supervision of more experienced analysts. Entry level roles are designed for those who may have limited professional experience or are recent graduates looking to build their skills.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data collection, Excel, and data visualization tools like Tableau or Power BI. These roles often serve as starting points for individuals with little professional experience in data analysis or related fields.

What types of projects and tasks can I expect to handle as a part-time entry level data analyst?

As a part-time entry level data analyst, you'll typically work on tasks such as cleaning and organizing raw data, creating basic reports and visualizations, and assisting with data quality checks. You might also help maintain databases or support senior analysts with ongoing projects, such as tracking key metrics or preparing presentations. The projects are usually well-defined and supervised, making this role an excellent opportunity to build foundational skills while working closely with experienced team members.

Is 40 too late for data science?

For a part-time entry-level data analyst role, age is not a barrier; skills such as proficiency in Excel, SQL, or Python are more important. Many professionals transition into data analysis later in their careers by gaining relevant certifications or completing online courses. Age should not prevent you from developing the necessary skills and applying for entry-level positions in data analysis.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Entry-level data analysts will need to develop skills in data visualization, programming, and domain knowledge to stay valuable as AI advances. Human judgment remains critical in understanding nuanced insights and communicating findings effectively.

What are the key skills and qualifications needed to thrive as a Part Time Entry Level Data Analyst, and why are they important?

To thrive as a Part Time Entry Level Data Analyst, you generally need a basic understanding of statistics, data interpretation, and proficiency with spreadsheet tools like Microsoft Excel, often supported by a relevant degree or coursework. Familiarity with data visualization software (e.g., Tableau), databases (e.g., SQL), and potentially introductory certifications in analytics are common requirements. Attention to detail, problem-solving abilities, and effective communication are soft skills that set standout candidates apart. These skills and qualities are crucial for accurately analyzing data, drawing meaningful insights, and clearly presenting findings to support organizational decision-making.
More about Part Time Entry Level Data Analyst jobs
What cities are hiring for Part Time Entry Level Data Analyst jobs? Cities with the most Part Time Entry Level Data Analyst job openings:
What are the most commonly searched types of Part Time Data Analyst jobs? The most popular types of Part Time Data Analyst jobs are:
What states have the most Part Time Entry Level Data Analyst jobs? States with the most job openings for Part Time Entry Level Data Analyst jobs include:
What job categories do people searching Part Time Entry Level Data Analyst jobs look for? The top searched job categories for Part Time Entry Level Data Analyst jobs are:
Infographic showing various Part Time Entry Level Data Analyst job openings in the United States as of July 2026, with employment types broken down into 100% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Lead Data Analyst

Lead Data Analyst

Brown University

Providence, RI • On-site

Part-time

Re-posted 29 days ago


Brown University rating

7.8

Company rating: 7.8 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

203rd of 555 rated colleges and universities


Job description

Job Description:
The Population Studies and Training Center (PSTC) at Brown University is seeking a Lead Data Analyst to work with Professor Elizabeth Fussell (PSTC (Research)) on several projects involving the analysis of data on the health and mobility outcomes of disaster-affected populations. The Lead Data Analyst will participate in data management, statistical analysis, assist with grant proposals, manuscript production for publication in peer-reviewed journals, and presentations at scientific conferences. Publications stemming from the designated research projects may be co-authored with Prof. Fussell and other co-investigators.
This 18 hour a week position is 100% grant funded and is renewable annually up until March 31st, 2028 based on satisfactory work performance and depending on funding source.
Education and Experience
  • Bachelor's degree in a related field and 5 to 7 years experience or equivalent combination of education and experience. Master's degree in Statistics, Health, or Social Sciences, preferred.
  • Experience in Stata required, SAS or R preferred.
  • Ability to work well both independently and collaboratively.
  • Effective at communicating with interdisciplinary audiences whose technical backgrounds vary widely.
  • Efficient time management skills.
  • Proven ability to work effectively on multiple projects at the same time.
  • Knowledge and experience in design and construction of databases with SAS.
  • Experience analyzing and managing large complex data sets
  • Highly proficient in statistical software packages (e.g., Stata and SAS or R)

All offers of employment are contingent upon a criminal background check and education verification satisfactory to Brown University.
Note: Applicants must submit a cover letter and CV/resume.
Additional physical demands and working conditions:
The Position Work Location is Hybrid Eligible with a 2 days/week onsite requirement at the Federal Statistical Research Data Centers (FSRDC) with a preference for Boston RDC, other FSRDC locations could be considered.
Benefits of Working at Brown:
Please review additional information on the Benefits of Working at Brown.
Recruiting Start Date:
2026-05-12
Job Posting Title:
Lead Data Analyst
Department:
Population Studies and Training Center
Grade:
Grade 10
Worker Type:
Employee
Worker Sub-Type:
Fixed Term (Fixed Term)
Time Type:
Part time
Scheduled Weekly Hours:
18
Position Work Location:
Hybrid
Submission Guidelines:
Please note that in order to be considered an applicant for any staff position at Brown University you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
This position is not eligible for visa sponsorship.
Still Have Questions?
If you have any questions you may contact employment@brown.edu.
Brown is an E-Verify Employer.
EEO Statement:
Brown University provides equal opportunity and prohibits discrimination, harassment and retaliation based upon a person's race, color, religion, sex, age, national or ethnic origin, disability, veteran status, sexual orientation, gender identity, gender expression, or any other characteristic protected under applicable law, in the administration of its policies, programs, and activities. The University recognizes and rewards individuals on the basis of qualifications and performance. The University maintains certain affirmative action programs in compliance with applicable law.

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