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Remote Spss Jobs in California (NOW HIRING)

REMOTE - US Residents Only  We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing ...

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive models * Build features for predictive models * Partner with data analysts to integrate the results ...

Marketing Analyst

Newport Beach, CA · On-site +1

$70K - $115K/yr

Hybrid work arrangements, combining in-office and remote work opportunities. Why You'll Love It Here We'd especially like to highlight our World Class Culture , which our employees say is the best ...

Design and conduct studies across key product areas, utilizing methods such as ethnographic/field research, diary studies, surveys, usability testing (remote and in-person), and any other methods you ...

A $500 home office stipend when you join as a remote employee. Diversity & Accommodations We're committed to building a diverse, inclusive, and equitable workplace where people of all backgrounds ...

Showing results 41-60

Remote Spss information

What is a Remote SPSS?

A Remote SPSS job involves working with SPSS (Statistical Package for the Social Sciences) software to analyze data, create reports, and interpret statistical findings, all while working remotely. Professionals in this role may perform tasks such as data cleaning, statistical modeling, and survey analysis for businesses, research institutions, or academia. These roles are common in fields like market research, healthcare, social sciences, and business analytics. Strong skills in statistics, data interpretation, and SPSS software are essential for success in this position.

What are the key skills and qualifications needed to thrive in the Remote SPSS position, and why are they important?

To thrive as a Remote SPSS professional, you need advanced statistical analysis skills, a background in data science or social sciences, and experience using IBM SPSS software. Familiarity with related tools such as Excel, R, or Python, as well as certifications in data analytics or statistics, are often beneficial. Strong attention to detail, clear communication, and the ability to work independently in a virtual setting are key soft skills. These abilities are crucial for delivering accurate insights, meeting project deadlines, and collaborating effectively with remote teams.

What does a typical day look like for someone working remotely in an SPSS-focused role?

A typical day as a Remote SPSS professional involves analyzing datasets using SPSS, preparing detailed reports, and collaborating with clients or colleagues via video conferences and email. You may spend part of your day cleaning and organizing raw data, running statistical models, and interpreting outputs to support business or research objectives. Frequent communication and sharing of results with team members located in different regions are common, so proactive collaboration and effective time management are essential. Over time, you may also gain opportunities to lead projects, train new team members, or specialize in more advanced statistical methodologies.

What cities in California are hiring for Remote Spss jobs?

Cities in California with the most Remote Spss job openings:

Infographic showing various Remote Spss job openings in California as of August 2026, with employment types broken down into 1% Internship, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution.

Full-time

Re-posted 25 days ago


Job description

REMOTE - US Residents Only
We are looking for a thorough and analytical Data Analyst to go with our present team. Your job in this role will mostly consist on data collecting, processing, and analysis; these will affect strategic corporate decisions. By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who enjoys statistics, enjoys solving issues, and enjoys using analytics to provide value, this is an amazing opportunity.

Main Activities:

By gathering, cleansing, and evaluating large datasets, find trends, patterns, and insights.

Create and update easy-to-use dashboards and reports to properly communicate findings to nontechnical stakeholders.

Analyze facts and come to decisions to support corporate strategy, process improvement, and decision-making.

Create and carry out ad hoc research to satisfy the needs of several divisions of the business.

Work with groups to create key performance indicators (KPIs) and to pinpoint critical metrics for ongoing observation.

Foretell outcomes and identify areas of expansion using statistical tools and data modeling.

Staying current with industry trends, best practices, and new technologies helps one to make sure that data analysis processes are continually being enhanced.

Automating repetitious data processes will help to simplify processes and increase efficiency.

Look for discrepancies and propose corrections to confirm data is accurate and full.

Needed Competencies:

Verified background in business analysis, data analysis, or any allied subject.

ability to effectively examine data with programs and languages including R, Python, SQL, or Excel.

skilled in the application of Tableau and Power BI among data visualization tools.

Mastery in statistical techniques and data modeling.

ability to succinctly and clearly show complex data results to viewers ranging in knowledge from professionals to laypeople.

Superior analytical and problem-solving skills; exacting.

competent of properly scheduling one's time, creating priorities, and finishing projects on schedule.

Work experience in a quantitative field like mathematics, statistics, computer science, economics, etc. or education in such areas.

Our offerings comprise:

a workplace supportive of innovative ideas and group projects.

Prospects for lifelong learning and professional development.

Reasonably affordable benefits and flexible working schedules.

a chance to greatly influence things by basing decisions on statistics.