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Spss R Statistics Jobs (NOW HIRING)

10Beauty

Consumer Insights Intern

Burlington, MA · On-site

Comfortable working with data and applying statistical thinking to draw conclusions. * Familiarity with Excel, Google Sheets, SPSS, R, Python, SQL, or similar analytical tools is a plus. * Excellent ...

WFNQASD5

ANALYST

Anchorage, AK · On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

WFNQASD5

ANALYST

Anchorage, AK · On-site

$30K - $60K/yr

Experience with statistical software such as SPSS, R, or Python. * Familiarity with qualitative research methods. Responsibilities: * Conduct comprehensive data analysis to evaluate the effectiveness ...

New York University

Research Assistant

New York, NY · On-site

$30/hr

... STATA, SPSS, R and other statistical softwares. • Demonstrate deep commitment to racial justice, social justice, and social equity. • Ability to communicate in a clear, efficient manner as a ...

STI

Epidemiologist

Nashville, TN · On-site

... statistical software such as R, SAS, STATA, or SPSS • Demonstrated experience leading projects with multiple stakeholders • Demonstrated time management skills and proven ability to manage ...

MarketOnce

Associate Data Analyst

Boston, MA · On-site

$72K - $90K/yr

Strong knowledge of and experience with statistical packages for analyzing large datasets, specifically, SPSS, R, WinCross and/or Excel * Knowledge of Python, Javascript and/or XML helpful but not ...

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Spss R Statistics information

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$30K

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How much do spss r statistics jobs pay per year?

As of Sep 10, 2026, the average yearly pay for spss r statistics in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What are SPSS and R statistics?

SPSS and R are both powerful statistical software tools used for data analysis. SPSS (Statistical Package for the Social Sciences) is a user-friendly, menu-driven application commonly used in social sciences, healthcare, and business for statistical analysis and data management. R is an open-source programming language and environment widely used by statisticians and data analysts for its flexibility, extensive packages, and advanced statistical techniques. Both tools are essential for professionals working with large datasets, statistical modeling, and data visualization.

What are the key skills and qualifications needed to thrive as an SPSS/R statistics analyst?

To thrive as an SPSS/R Statistics Analyst, you need a solid background in statistics, data analysis, and a relevant degree in fields like mathematics, statistics, or data science. Expertise in statistical software such as SPSS and R, along with familiarity with data visualization tools and programming basics, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting data and presenting findings clearly to stakeholders. These skills ensure accurate analysis, actionable insights, and effective data-driven decision-making within organizations.

What are some common challenges faced by professionals working with SPSS and R in statistical analysis roles?

Professionals using SPSS and R often encounter challenges such as ensuring data quality and integrity, handling large or complex datasets, and selecting the most appropriate statistical methods for specific research questions. Navigating differences in functionality and syntax between SPSS and R can also require adaptability, especially when collaborating with team members who may prefer one tool over the other. Staying updated on evolving statistical techniques and software updates is essential for delivering accurate and meaningful analyses.

What is the difference between Spss R Statistics vs Data Analyst?

AspectSpss R StatisticsData Analyst
Required skillsStatistical software proficiency, data analysis, programming (R), data visualizationData manipulation, statistical analysis, reporting, visualization
Work environmentResearch, academia, data science projectsBusiness, finance, marketing, healthcare
Common toolsSpss, R, Python, ExcelExcel, SQL, Tableau, R, Python

Both roles involve data analysis and statistical skills, often requiring knowledge of R and other tools. Spss R Statistics focuses more on statistical software and programming, while Data Analysts typically work across various platforms to interpret data for business insights. The roles overlap in skills but differ in application context and industry focus.

What careers use SPSS?

SPSS is widely used in careers such as data analyst, market researcher, social scientist, and healthcare researcher. These roles involve statistical analysis, data management, and reporting, often requiring proficiency in SPSS software and related statistical skills.

What other helpful pages are available for Spss R Statistics?

Other pages related to Spss R Statistics:

Infographic showing various Spss R Statistics job openings in the United States as of September 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Consumer Insights Intern

Burlington, MA • On-site

10Beauty
See more jobs at 10Beautyexternal

Internship

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Introduction:

This is a unique opportunity to blend user research, behavioral science, experimentation, and data analysis at a fast-growing robotics startup. You'll work closely with Product, Engineering, Design, and Operations to design and execute consumer studies that directly influence the future of our customer experience.

*This is an on site position for our office in Burlington, MA. The internship is intended to run 3-6 months*

What You'll Do
  • Design and execute consumer research studies focused on self-service user experiences.
  • Develop test methodologies and experimental frameworks to answer key product questions.
  • Recruit, organize, and moderate user interview groups and usability sessions.
  • Plan and coordinate testing logistics for our internal ManiLab consumer testing environment.
  • Lead day-of testing activities, ensuring smooth execution and high-quality data collection.
  • Collect both qualitative and quantitative customer feedback through interviews, surveys, observations, and product usage data.
  • Analyze research findings using statistical methods to identify meaningful trends and actionable insights.
  • Build reports and presentations that clearly communicate recommendations to Product, Engineering, and Leadership teams.
  • Partner with cross-functional teams to prioritize experiments and measure the impact of product improvements.
  • Help establish best practices for experimentation, user research, and consumer insight generation as our testing program scales.
What you have
  • Currently pursuing (or recent grad with) a Bachelor's, Master's, or MBA in Psychology, Behavioral Economics, Human Factors, Marketing, Consumer Insights, Statistics, Data Science, Industrial Engineering, Business Analytics, or a related field.
  • Strong interest in consumer behavior, experimentation, product research, or UX research.
  • Experience designing surveys, user interviews, or research studies through coursework or previous internships.
  • Comfortable working with data and applying statistical thinking to draw conclusions.
  • Familiarity with Excel, Google Sheets, SPSS, R, Python, SQL, or similar analytical tools is a plus.
  • Excellent communication skills with the ability to translate research into clear recommendations.
  • Highly organized and excited to work in a fast-paced startup environment where no two days are the same.
  • Comfortable interacting directly with customers and facilitating research sessions.

Apply