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Factor Analysis Jobs (NOW HIRING)

STAG

SkillBridge Internship

San Antonio, TX · On-site +1

Our ideal candidate will leverage their extensive cyberspace experience to conduct Target Systems Analysis, System of Systems Analysis, Vulnerability Analysis, and Critical Factor Analysis against ...

Photon

UX Survey Scientist - New York

Manhattan, NY · On-site

... class analysis, factor analysis, and cluster analysis Conduct inferential statistical analysis across quantitative datasets, including significance testing, regression modeling, and advanced ...

New

Channel Partners

Senior Analyst

Tampa, FL · On-site

$95K - $115K/yr

Deep statistical technique experience: multivariate regression, cluster analysis, factor analysis, conjoint analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion ...

Channel Partners

Senior Analyst

Tampa, FL

$115K/yr

Deep statistical technique experience: multivariate regression, cluster analysis, factor analysis, conjoint analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion ...

Channel Partners

Senior Analyst

Tampa, FL · On-site

$95K - $115K/yr

Deep statistical technique experience: multivariate regression, cluster analysis, factor analysis, conjoint analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion ...

Fujifilm

Investigator 1

Holly Springs, NC · On-site

Develop knowledge and capabilities to perform systematic causal analysis methods (e.g., Event & Causal Factor Analysis, Logic Fault Tree) to identify root and contributing causes. * Document clear ...

Fujifilm

Investigator 1

Holly Springs, NC

Develop knowledge and capabilities to perform systematic causal analysis methods (e.g., Event & Causal Factor Analysis, Logic Fault Tree) to identify root and contributing causes. * Document clear ...

Fujifilm

Investigator 1

Holly Springs, NC

Develop knowledge and capabilities to perform systematic causal analysis methods (e.g., Event & Causal Factor Analysis, Logic Fault Tree) to identify root and contributing causes. * Document clear ...

Tristar Insurance

Data Analyst I

Signal Hill, CA

Advanced mathematical and statistical techniques such as calculus, factor analysis, and probability determination. Highly complex mathematical and statistical techniques such as calculus, factor ...

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All JobsFactor Analysis Jobs

Factor Analysis information

What is a factor job?

A factor analysis job involves applying statistical techniques to identify underlying variables, or factors, that explain patterns in data. Professionals in this role often work with data analysis software like SPSS or R and require strong analytical skills to interpret complex datasets for research or business insights.

What is factor analysis?

Factor analysis is a statistical technique used to identify underlying patterns or factors within a set of observed variables. It helps researchers reduce data complexity by grouping related variables together, making it easier to interpret large datasets. This method is commonly used in psychology, social sciences, and market research to uncover latent constructs or dimensions that explain correlations among observed measures. Factor analysis can guide the creation of questionnaires, scales, or help in data reduction for further analysis.

What are some common challenges faced by professionals conducting factor analysis, and how can they be addressed?

Professionals performing factor analysis often encounter challenges such as determining the appropriate number of factors to retain and ensuring the quality of data (e.g., sample size and variable selection). Another common issue is interpreting complex factor loadings, which can make it difficult to assign meaningful labels to identified factors. These challenges can be addressed by following best practices such as conducting parallel analysis, using scree plots, ensuring adequate sample sizes, and consulting with subject matter experts to interpret results accurately.

What to do in factor analysis?

Factor analysis is a statistical method used by data analysts and researchers to identify underlying variables or factors that explain the patterns in large datasets. The process involves selecting appropriate data, checking assumptions, extracting factors using techniques like principal component analysis, and interpreting the results to inform decision-making or further analysis. Proficiency with statistical software such as SPSS, R, or SAS is often required.

What is the difference between Factor Analysis vs Data Analyst?

AspectFactor AnalysisData Analyst
Primary RoleStatistical technique to identify underlying variablesInterpreting data to provide insights and support decision-making
Required SkillsStatistics, mathematics, data modelingData manipulation, visualization, statistical analysis
Work EnvironmentResearch, academia, data science projectsBusiness, finance, marketing, healthcare
Common CertificationsStatistics, data science certificationsData analysis, business intelligence certifications

Factor Analysis is a statistical method used to reduce data dimensions and identify latent variables, often used in research. Data Analysts interpret data to generate actionable insights across various industries. While Factor Analysis is a specialized technique within data analysis, Data Analysts perform broader tasks involving data collection, cleaning, and reporting.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Manager, Director of Data Analytics, or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, along with experience in tools like Python, R, and SQL.

What exactly is factor analysis?

Factor analysis is a statistical method used to identify underlying variables, called factors, that explain the patterns of correlations among observed data. In a job context, professionals use it to reduce data complexity, interpret large datasets, and support decision-making, often utilizing software like SPSS or R. It requires strong analytical skills and understanding of statistical concepts.

What are the key skills and qualifications needed to thrive as a Factor Analyst, and why are they important?

To thrive as a Factor Analyst, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in statistics, psychology, or a related field. Familiarity with statistical software such as SPSS, R, or SAS and an understanding of psychometric or quantitative research methods are essential. Attention to detail, problem-solving abilities, and effective communication are key soft skills for interpreting complex data and presenting findings clearly. These skills ensure accurate analysis, meaningful insights, and effective collaboration with research or business teams.
What cities are hiring for Factor Analysis jobs? Cities with the most Factor Analysis job openings:
What states have the most Factor Analysis jobs? States with the most job openings for Factor Analysis jobs include:
What job categories do people searching Factor Analysis jobs look for? The top searched job categories for Factor Analysis jobs are:
Factor Analysis jobs near you
Infographic showing various Factor Analysis job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Equity Quant Portfolio Researcher

Equity Quant Portfolio Researcher

Verition Group LLC

New York, NY

Other

Re-posted yesterday

Job description

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in 2008.  Verition focuses on global investment strategies including Global Credit, Global Convertible, Volatility & Capital Structure Arbitrage, Event-Driven Investing, Equity Long/Short & Capital Markets Trading, and Global Quantitative Trading.

Our Risk team is expanding and seeking an experienced Equity Quant Portfolio Researcher. This role is pivotal in developing and implementing custom factors, reviewing factor exposures across various levels, and creating tools to aid Portfolio Managers (PMs) in managing factor risk. Additionally, the position may involve providing equity advisory from a risk perspective.

Key Responsibilities:

  • Develop and implement custom factors for equity portfolios.
  • Review and analyze factor exposures at the portfolio manager (PM), strategy, and firm levels.
  • Create and maintain tools to support PMs in managing factor risk.
  • Provide equity advisory services from a risk perspective.
  • Integrate and customize the Barra model to enhance factor analysis and risk management.
  • Collaborate closely with PMs to understand their needs and deliver actionable insights.

Qualifications:

  • Minimum of 7 years of relevant experience in quantitative finance or risk management.
  • Bachelors degree in a STEM field
  • Demonstrated experience with the implementation and customization of the Barra model.
  • Strong programming skills, including the ability to integrate and create custom factors and perform in-depth analysis using the Barra model.
  • Proven track record of proactively taking on hands-on roles and responsibilities.
  • Advanced analytical and problem-solving skills.
  • Strong communication skills and ability to work collaboratively with portfolio managers and other stakeholders.
  • Detail-oriented with a focus on accuracy and precision in factor analysis and risk management.

Apply