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Part Time Data Analyst Spss Jobs (NOW HIRING)

New Jersey Institute of Technology

$40/hr

Hourly Data Analyst Department: Asst/Assoc Professor Reports To: Associate Professor Position ... FLSA: Non-Exempt Time Type: Part time Pay Rate: Hourly Additional Information: As an EEO employer ...

Ameritas

Data Analyst Intern

Lincoln, NE · On-site +1

Ameritas Life Insurance Corp is looking for a Data Analyst Intern to drive the business by ... Able to fulfill a long-term internship commitment working full-time in the summer and part-time ...

Globe Life Inc.

Data Analyst I (Remote)

Cheyenne, WY · On-site +1

Data Analyst I (Remote) Primary Duties & Responsibilities At Globe Life, we are committed to ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

Actfore

Data Entry Analyst - Part Time

Reston, VA · On-site

$17.31/hr

... part time work, ACTFORE invites you to apply to grow in IT/Cybersecurity/Data and safeguard organizations and the people they serve. Job Summary: The Data Entry Analyst plays a critical role in ...

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Part Time Data Analyst Spss information

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$82.6K

$136K

How much do part time data analyst spss jobs pay per year?

As of Sep 8, 2026, the average yearly pay for part time data analyst spss in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

AspectPart Time Data Analyst SpssPart Time Data Scientist
Required SkillsSPSS, basic statistical analysis, data visualizationPython/R, machine learning, advanced analytics
Work EnvironmentResearch firms, market research, healthcareTech companies, finance, e-commerce
CertificationsStatistical analysis certifications, SPSS proficiencyData science certifications, programming skills

Part Time Data Analyst Spss roles focus on statistical analysis using SPSS, suitable for research and reporting tasks. Part Time Data Scientist positions require advanced programming and machine learning skills for predictive modeling and complex data insights. Both roles are in data-driven industries but differ in technical complexity and tools used.

What are the most commonly searched types of Data Analyst Spss jobs?

The most popular types of Data Analyst Spss jobs are:

What states have the most Part Time Data Analyst Spss jobs?

States with the most job openings for Part Time Data Analyst Spss jobs include:

Part Time Data Analyst Spss jobs near you

Part Time Data Scientist (1099 - Contractor)

Agile5 Technologies, Inc.

Fairmont, WV • On-site

Part-time

Posted 3 days ago

New

Job description

About Agile5: Agile5 Technologies, Inc., is a Woman-Owned Small Business (WOSB) and Information Technology (IT) services firm that specializes in the design, development, testing, integration, and maintenance of enterprise software systems. We believe our employees are the company’s most valuable asset. We are invested in seeing our employees grow in their careers, while maintaining a work/life balance. We have an immediate need for a skilled, energetic, and driven Data Scientist (1099 Independent Contractor).

Description: The Data Scientist will work as a 1099 Independent Contractor on a part-time, as-needed basis to execute discrete, task-focused projects that solve complex internal data science problems. This role involves analyzing organizational datasets, engineering predictive machine learning models, and delivering actionable business intelligence to optimize technical and operational capabilities. Working closely with internal leadership, software, cloud, and cybersecurity teams, the ideal candidate will translate complex data findings into clear reports, dashboards, and automated solutions.

Data Scientist (1099 Independent Contractor) Job Duties:

  • Execute discrete, task-based data science assignments to enhance internal technical capabilities and operational efficiency.

  • Analyze complex internal datasets to uncover trends, patterns, statistical correlations, and anomalies.

  • Design, build, test, and deploy custom machine learning algorithms and predictive models to address targeted business problems.

  • Collaborate with internal software engineering, cloud, and cybersecurity teams to integrate data science models into broader technical frameworks.

  • Prepare comprehensive reports, interactive dashboards, and visual data insights for executive leadership.

  • Participate in remote team syncs and occasional on-site collaborative work sessions.

  • Performs other duties as assigned.

Security Clearance Requirements: No clearance required to apply; must be a U.S. citizen willing to undergo a background check to obtain a Public Trust / Tier 2 clearance.

Experience Requirements: Minimum of 5 years of advanced, practical experience applying data science methodologies, predictive modeling, and statistical analysis.

Education Requirements: Bachelor's degree or higher in Data Science, Computer Science, Statistics, Mathematics, or a related technical field (or equivalent combination of education and experience).

Desired Skills / Qualifications:

  • Proximity to or ability to easily travel to Fairmont, WV for periodic in-person collaboration.

  • Proficiency in programming languages common to data science (Python, R) and database technologies (SQL, PostgreSQL).

  • Familiarity with cloud-native AI and data science platforms within Amazon Web Services (AWS) or Google Cloud Platform (GCP).

  • Experience configuring, tuning, or deploying Large Language Models (LLMs) and advanced AI workflows.

Location: Remote (Preference for candidates near Fairmont, WV)

Status: Part-time, As-Needed (1099 Independent Contractor)

Schedule: Flexible / Task-based

Physical Requirements: Must be able to remain in a stationary position for long durations of time. Also, must be able to continuously operate a computer and other office productivity machinery.

Travel Required: No

This job description is subject to change at any time.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.