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Remote Spss Jobs in Indiana (NOW HIRING)

Recruitment Room

$60 - $90/hr

Data Analysis / Analytics Expert Hourly Contract Remote Compensation: $60$90 per hour Overview We are seeking experienced Data Analysts to transform raw data into actionable insights. This role ...

Verawholehealth

$63K - $111K/yr

This is a remote-friendly position suited for a mid-level professional with strong SQL skills and a passion for storytelling through data. How will you make an impact & Requirements Role Overview:

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

We do not offer relocation or remote work for this position. ** Other Skills * Language skills: Ability to read, analyze, and interpret the most complex documents. Ability to respond effectively to ...

All JobsSpss JobsRemote Spss JobsRemote Spss Jobs in Indiana

Remote Spss information

See Indiana salary details

$24.4K

$75K

$158.4K

How much do remote spss jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote spss in Indiana is $74,950.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,934.00 and $96,555.00 per year, depending on experience, location, and employer.

What is a Remote SPSS job?

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 are popular job titles related to Remote Spss jobs in Indiana? For Remote Spss jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Spss jobs in Indiana look for? The top searched job categories for Remote Spss jobs in Indiana are:
What cities in Indiana are hiring for Remote Spss jobs? Cities in Indiana with the most Remote Spss job openings:
Remote Spss jobs near you
Infographic showing various Remote Spss job openings in Indiana as of July 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% Remote job distribution, with an average salary of $74,950 per year, or $36 per hour.

Data Analysis / Analytics Expert

Recruitment Room

Remote

$60 - $90/hr

Contractor

Posted 13 days ago

Job description

Data Analysis / Analytics Expert

Hourly Contract Remote

Compensation: $60$90 per hour

Overview

We are seeking experienced Data Analysts to transform raw data into actionable insights. This role combines statistical rigor, visualization, and structured reporting to support decision‑making across diverse industries. You will contribute to projects that require analytical precision, clear communication, and collaboration with cross‑functional teams.

Key Responsibilities

  • Apply statistical tools and models to extract meaningful insights.

  • Develop visualizations that communicate findings clearly to stakeholders.

  • Evaluate datasets for accuracy, completeness, and reliability.

  • Provide structured reports with actionable recommendations.

  • Identify trends and patterns that inform business or research strategies.

  • Collaborate remotely with engineers, researchers, and business teams.

Ideal Qualifications

  • Degree in Statistics, Data Science, Computer Science, Economics, or related field.

  • 2+ years of professional experience in data analysis or business intelligence.

  • Proficiency in SQL, R, Python, and visualization tools (Tableau, Power BI, matplotlib).

  • Strong analytical reasoning and attention to detail.

  • Clear written and verbal communication skills.

Project Timeline

  • Start Date: Immediate

  • Duration: As required

  • Commitment: Part‑time, 20+ hours per week

Application Onboarding

  • Submit your resume and application form.

  • Complete a 30‑minute interview covering background, technical expertise, and motivations.

  • Receive onboarding details within a few days.

Contract Payment Terms

  • Independent contractor engagement.

  • Fully remote role, flexible schedule.

  • Weekly payments via Stripe or Wise based on services rendered.

  • Projects may be extended, shortened, or concluded early depending on needs and performance.

  • Please note: Sponsorship for H1‑B or STEM OPT visas is not available.

About the Work

This is an opportunity to leverage your analytical expertise in shaping systems and strategies that rely on data‑driven insights. You will contribute to projects that combine statistical rigor with practical application, ensuring clarity, accuracy, and impact in decision‑making.