Research Analyst, Global Modeling Unit

About the role

The Global Modeling Unit (GMU) within Ipsos’ Innovation service line provides advanced multivariate data analyses—such as regression, GLM, discriminant analysis, MDS, clustering algorithms, and proprietary procedures—to deliver value-added insights for internal and external clients. As a Research Analyst, Marketing Science, you will serve as a statistical expert, designing analyses, running models, and translating results into actionable recommendations for clients.

Responsibilities

• Clean, structure, code, and summarize survey and secondary data
• Use statistical software (SPSS, R, etc.) and business software (Excel) to uncover and evaluate solutions and assist project staff in running statistical analyses
• Apply programming skills (Excel VBA, Python, etc.) to automate standard statistical procedures and chart creation
• Demonstrate understanding of multivariate analysis and Ipsos proprietary products, collaborating with Client Service from problem definition through design, analysis, and application
• Work from an analytic plan and assemble Excel outputs or PowerPoint decks to present results and explanations to Client Service
• Ensure timely delivery of error-free work

Requirements

• BS or MS degree in Quantitative Marketing, Social Sciences, Statistics, Applied Mathematics, Marketing Research, or a related field with an analytic/quantitative/research focus
• Statistical analysis background
• Hands-on experience with SPSS or other statistical analysis packages
• Python, R, and/or VBA coding experience is a plus
• Understanding of text analytics and AI in marketing research is a plus
• Effective communication skills and the ability to present data findings clearly to audiences unfamiliar with statistical techniques
• Inquisitive mindset with a strong desire to learn
• Ability to work both independently and as part of a team
• Strong attention to detail and logical decision-making

Pay

In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $55,000 to $70,000. Final base salary will be determined based on non-discriminatory factors including location, work experience, skills, knowledge, education, and certifications.

Benefits

• Career development opportunities
• Generous paid time off and healthcare plans
• Wellness benefits
• Flexible workplace policy
• Collaborative culture