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Part Time Statistics information

What is a part-time statistician?

Part-time statistics jobs involve working fewer hours than a full-time role, often offering flexible schedules suitable for students, professionals seeking side income, or those balancing other commitments. These positions typically require analyzing data, creating statistical models, and interpreting results to support business decisions or academic research. Duties may include gathering data, using statistical software, and preparing reports. Part-time statistics jobs can be found in sectors like education, healthcare, government, and private industry.

What are the key skills and qualifications needed to thrive as a part-time statistician?

To thrive as a Part-Time Statistician, you need a strong background in statistics, mathematics, and data analysis, usually supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, and proficiency in spreadsheet tools like Excel, are commonly required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and share insights with non-technical stakeholders. These skills ensure reliable data-driven decision-making and contribute to successful project outcomes.

What are some typical challenges faced by part-time statistics professionals, and how can they effectively manage their workload?

Part-time statistics professionals often navigate challenges such as balancing project deadlines with limited working hours and managing multiple assignments simultaneously. They may also encounter difficulties staying fully integrated with full-time teams and accessing ongoing project updates. To manage these challenges, clear communication with supervisors, setting realistic expectations, and making efficient use of data analysis tools are key. Regular check-ins and proactive time management can help ensure successful project delivery and maintain a collaborative team environment.

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

AspectPart Time StatisticsPart Time Data Analyst
Required CredentialsTypically a degree in statistics, mathematics, or related fieldOften a degree in data analysis, statistics, or computer science
Work EnvironmentResearch firms, government agencies, educational institutionsBusinesses, tech companies, consulting firms
Industry UsageUsed in research, academia, government projectsApplied in business analytics, marketing, finance
Common Search IntentUnderstanding statistical roles, part-time opportunities in statisticsPart-time data analysis jobs, data analyst roles

Part Time Statistics focuses on roles centered around statistical theory and research, often in academic or research settings. Part Time Data Analyst involves analyzing data to support business decisions, typically in corporate environments. While both roles require analytical skills, their work environments and industry applications differ significantly.

What are the most commonly searched types of Statistics jobs in Nebraska?

The most popular types of Statistics jobs in Nebraska are:

Part Time Statistics jobs near you
Infographic showing various Part Time Statistics job openings in Nebraska as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Part-Time Researcher - Biomechanics

University of Nebraska Omaha

Omaha, NE • On-site

$22.50/hr

Part-time

Re-posted 16 days ago

Job description

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.

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