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Part Time Data Jobs in Minnesota (NOW HIRING)

This is a temporary part-time position averaging 15-25 hours per week. This role will be required ... Enter Data into NetSuite and other ERP's. This is only a summary of the typical functions of the ...

This is a temporary part-time position averaging 15-25 hours per week. This role will be required ... Enter Data into NetSuite and other ERP's. This is only a summary of the typical functions of the ...

Flexible part time jobs now available in your area! Perfect for stay at home Moms and Dads! Looking ... If you are the type of person who is self-motivated, enjoys working independently, data entry and ...

Flexible part time jobs now available in your area! Perfect for stay at home Moms and Dads! Looking ... If you are the type of person who is self-motivated, enjoys working independently, data entry and ...

We are immediately hiring part time Field Representatives in your area! Are you a military spouse ... RDSolutions's track record spans nearly 40 years in providing retail data and intelligent solutions ...

We have part-time, flexible work schedules available now! What does RDSolutions Offer You ? * A ... RDSolutions's track record spans nearly 40 years in providing retail data and intelligent solutions ...

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Part Time Data information

See Minnesota salary details

$8

$19

$49

How much do part time data jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for part time data in Minnesota is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $12.61 and $18.45 per hour, depending on experience, location, and employer.

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

To thrive as a Part Time Data Entry Clerk, you need strong attention to detail, fast and accurate typing skills, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, data management systems, and sometimes basic database tools is typically required. Reliability, time management, and the ability to work independently are important soft skills for this role. These skills ensure that data is entered accurately and efficiently, supporting overall business operations and data integrity.

What are part-time data jobs?

Part-time data jobs are positions where employees work fewer hours than a standard full-time schedule, typically focusing on tasks related to data collection, entry, analysis, or management. These roles may include data entry clerks, data analysts, or research assistants, and are often found in industries like healthcare, finance, marketing, or education. Part-time data jobs are ideal for students, individuals seeking flexible work arrangements, or those looking to gain experience in the data field without committing to a full-time role.

Is AI replacing data analysts?

AI tools are automating certain data analysis tasks, such as data cleaning and basic reporting, but data analysts are still essential for interpreting complex insights, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking and communication that AI cannot fully replicate, so demand for human analysts remains strong.

What are some common challenges faced by part-time data professionals, and how can they be addressed?

Part-time data professionals often encounter challenges such as managing workload within limited hours, staying updated with evolving data tools, and integrating effectively with full-time team members. To address these, clear communication about project expectations and deadlines is essential. Utilizing collaborative tools and participating in regular team meetings can help part-time staff stay aligned and contribute effectively, while ongoing learning helps bridge any skills gaps. Many organizations also encourage part-time employees to attend training sessions or workshops to stay current.

How can I make $2000 a week working from home?

Part time data roles, such as data entry or data analysis, typically pay hourly and may not reach $2000 weekly unless combined with multiple positions or high-demand freelance projects. To increase earnings, developing skills in data management tools like Excel or SQL and seeking freelance or contract work can help, but earning $2000 weekly part-time is uncommon without extensive experience or specialized skills.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience or certifications. Employers value skills and experience over age, making it possible to pursue a data science career at 40 or older.

What is the difference between Part Time Data vs Part Time Data Analyst?

AspectPart Time DataPart Time Data Analyst
Required CredentialsBasic understanding of data concepts, possibly some courseworkRelevant degree or certification in data analysis, statistics, or related field
Work EnvironmentFlexible, often remote or freelance projectsOffice or remote, focused on analyzing data sets
Employer & Industry UsageVarious industries, including tech, marketing, researchBusinesses seeking data insights, analytics firms, research organizations

Part Time Data generally refers to flexible, entry-level data-related tasks, while Part Time Data Analyst involves more specialized analysis work requiring relevant skills and certifications. The analyst role typically demands a deeper understanding of data tools and methodologies, making it more focused on interpreting data to inform decisions.

Can I do data analyst part-time?

Yes, data analyst roles can often be performed part-time, especially in freelance or contract positions. These roles may require proficiency in tools like Excel, SQL, or Python, and flexible schedules are common for part-time work. Availability of part-time opportunities depends on the employer and project needs.
What are the most commonly searched types of Data jobs in Minnesota? The most popular types of Data jobs in Minnesota are:
What are popular job titles related to Part Time Data jobs in Minnesota? For Part Time Data jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Part Time Data jobs in Minnesota look for? The top searched job categories for Part Time Data jobs in Minnesota are:
What cities in Minnesota are hiring for Part Time Data jobs? Cities in Minnesota with the most Part Time Data job openings:
Data Collector

Part-time

Medical, Retirement, PTO

Posted 28 days ago


Job description

About the Job
 

IGDI Lab, housed within the Department of Educational Psychology in the College of Education and Human Development at the University of Minnesota, has an occasional need for part-time, temporary or casual employees for a nationwide study. Our work focuses on assessment and data-based decision-making within a multi-tiered system of support for English- and Spanish-speaking children ranging from 3-5 years of age. 
Were currently hiring for our I-SPEAK project (Interactive Storybook Platform for the Equitable Assessment of Knowledge). I-SPEAK is an innovative preschool assessment that uses storytelling to create a culturally and linguistically responsive, engaging experience for young children. The assessment includes three English stories (each centering African American/Black children, Latine children, or children experiencing economic hardship) and a Spanish story centering Spanish-speaking children. Data collectors can give assessments in Spanish, English, or both languages depending on their language proficiency.
Positions are available throughout the U.S. in locations where we have study partnerships. Confirmed locations include Minneapolis/St. Paul, MN and Atlanta, GA. We also anticipate openings in Ohio, New Jersey, California, Massachusetts, and other states.
The position requires an interest in and knowledge of early childhood assessment. This data collection position includes training on assessments and interacting with young children to collect data. Data collectors will travel to early childhood classrooms and use iPads to assess children. Once hired, all data collectors will be trained and are required to achieve 90% fidelity before they are allowed to begin testing. After completing training, data collectors are required to test children, record the data, and report updates to the research team.
This position is based in-person. This position is an hourly temp casual position with hours that ebb and flow with the needs of data collection for the IGDI Lab. The position is expected to last through August 2026.


Data collection will primarily take place during daytime hours (short shifts generally between the hours of 8am-5pm M-F). There may also be occasional shifts in evenings and/or weekends. The work schedule is temporary in nature, meaning the employee is limited to 67 days of work in a calendar year. It can also be casual in nature, meaning the employee can work 14 or fewer hours per week. A set number of hours are not guaranteed each week. 


Employees working in this position are paid an hourly rate; temporary and casual employees are not eligible for retirement plans, health insurance, vacation, sick leave, or the Regents Scholarship.
Job Responsibilities:
Data Collection and Data Entry (100%):

  • Travel to school and childcare sites and collect assessment data with preschool children
  • Document all assessment scores
  • Transfer data each session by recording progress in a tracking spreadsheet
Qualifications
 

Required Qualifications:

  • Some high school or 2 years work experience
  • Experience working with preschool and/or elementary-age children
  • Ability to communicate with supervisor and team members over email, phone, and/or videoconference
  • Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities
  • Reliable transportation for travel to school and childcare sites
  • Ability to work short shifts that align with needs of the project and partner programs (generally between the hours of 8am-5pm M-F)

Preferred Qualifications:

  • Lived experiences that align with project goals
  • Demonstrated strong attention to detail and organizational skills
  • Excellent verbal and written communication skills
  • Ability to take initiative and be self-directed 
  • Experience in classroom settings and/or working with children one-on-one
  • Experience with data collection
  • Demonstrated excellent data entry skills
  • Demonstrated written and verbal communication fluency in Spanish
About the Department
 

Department of Educational Psychology:
The Department of Educational Psychology provides training in the cognitive, emotional, and social learning processes that underlie education and human development across the lifespan, including: the psychological foundations of education, quantitative methods in education, the practice and science of counseling psychology, school psychology, and special education. Faculty and students provide leadership and consultation to the state, nation, and international community. The department's scholarship and teaching enhance professional practice in schools and universities, community mental health agencies, business and industrial organizations, early childhood programs, and government agencies. https://www.cehd.umn.edu/edpsych 

The College of Education and Human Development (CEHD), the University's third largest college, contributes to a just and sustainable future through engagement with the local and global communities to enhance human learning and development at all stages of life. We know diversity is necessary to do our best work and foster our humanity. Thats why the CEHD community is collectively dedicated to cultivating an inclusive and equitable environment, embracing and celebrating all identities of our students, staff, and faculty. These values are also a moral imperative requiring continuous proactive measures and a firm stance against prejudice, discrimination, and systemic injustice.

Pay and Benefits
 

Pay Range: $20 - $26/hour; depending on education/qualifications/experience.


Retirement plan options are available for Civil Service, Faculty, Labor-Represented, Professional & Administrative, and Temp Casual classifications.  Learn more about retirement plans.

How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.