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Part Time Data & Analytics Jobs in Nebraska (NOW HIRING)

Retail Data Collection Associate - PT

Thedford, NE · On-site

$14.25 - $16.25/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Permanent Part time (Looking for supplemental income? This is it!) Flexible schedule Paid training

Retail Data Collection Associate - PT

Omaha, NE · On-site

$14.50 - $16.75/hr

... analysis, and customer targeting that always hit the mark. We do this by excelling in four key ... Permanent Part time (Looking for supplemental income? This is it!) Flexible schedule Paid training

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Part Time Data Analytics information

See Nebraska salary details

$23

$52

$90

How much do part time data & analytics jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for part time data & analytics in Nebraska is $52.20, according to ZipRecruiter salary data. Most workers in this role earn between $41.92 and $59.13 per hour, depending on experience, location, and employer.

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

To thrive as a Part Time Data & Analytics professional, you typically need a background in statistics, mathematics, or computer science, along with experience in data analysis and interpretation. Familiarity with tools like Excel, SQL, Python, or Tableau is commonly required, and certifications in data analytics or related fields can be advantageous. Strong attention to detail, critical thinking, and effective communication skills help individuals excel in this role. These skills and qualities are crucial for delivering actionable insights that drive informed decision-making and business success.

What are part-time data & analytics jobs?

Part-time data & analytics jobs involve working with data to gather insights, create reports, and support decision-making, but on a reduced or flexible work schedule. These roles may include tasks like data cleaning, analyzing trends, creating dashboards, and presenting findings to stakeholders. Part-time positions are ideal for students, professionals seeking flexible hours, or those balancing other commitments. Employers often look for candidates with skills in Excel, SQL, or data visualization tools. These jobs can be found in many industries, including marketing, healthcare, finance, and technology.

How does a part-time Data & Analytics professional typically collaborate with full-time team members to ensure project continuity?

Part-time Data & Analytics professionals often coordinate closely with full-time team members through regular check-ins, shared documentation, and project management tools to maintain seamless workflow. They may attend key meetings, provide updates on their progress, and clarify priorities to ensure that their contributions align with ongoing projects. Effective communication and proactive scheduling are essential to bridge any gaps due to limited hours, allowing part-time analysts to stay informed and integrated with the team's objectives.
What are popular job titles related to Part Time Data & Analytics jobs in Nebraska? For Part Time Data & Analytics jobs in Nebraska, the most frequently searched job titles are:
What cities in Nebraska are hiring for Part Time Data & Analytics jobs? Cities in Nebraska with the most Part Time Data & Analytics job openings:
Infographic showing various Part Time Data & Analytics job openings in Nebraska as of July 2026, with employment types broken down into 100% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $108,572 per year, or $52.2 per hour.
Part-Time Researcher - Biomechanics

Part-Time Researcher - Biomechanics

University of Nebraska Omaha

Omaha, NE • On-site

$22.50/hr

Full-time, Part-time

Posted 25 days ago


Job description

Posting Details
Position Information
Job Title
Part-Time Researcher - Biomechanics
Department
Biomechanics
Essential Functions
Review and organize research data
Perform basic data analysis using software such as Excel, R, or Python
Create charts, tables, and summaries of research findings
Assist with writing and editing research papers, reports, and grant applications
Work Schedule
Work schedule varies.
Additional Duties
Required Qualifications
Bachelor's degree in Biomechanics or a related field
Experience working with research data.
Basic knowledge of statistics and data analysis.
Strong writing and editing skills.
Preferred Qualifications
Previous experience assisting with research publications or grant writing.
Experience using statistical or data analysis software (R, Python, SPSS, or similar).
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Regularly sits; may stand, walk. See, hear, speak and use of hands.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Regularly works indoors. Noise level is low to moderate.
Salary
$22.50/hour
Posting Detail Information
Posting Number
2026T-00122
Open Date
02/13/2026
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
The University of Nebraska at Omaha is an Equal Opportunity Employer, committed to preventing and eliminating discrimination against employees and prospective employees based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. The University of Nebraska at Omaha does not condone or tolerate discrimination. In support of this policy, the University has implemented employment programs to recruit, employ, and promote qualified individuals based solely on their knowledge, skills, abilities and talents. These factors, along with our commitment to recruit, assess and select all candidates/employees using job-related criteria, ensure fairness, equal evaluation, and treatment in our selection decisions and processes.