About Innovation GMU:The Innovation Service Line guides clients throughout the innovation journey as they develop and launch new or improved products and services spanning a range of verticals. This is accomplished using best-in-class services, including idea screening, concept testing, product testing, price and line optimization, package testing and volumetric forecasting. The Global Modeling Unit (GMU) team within the Innovation service line are methodological “experts” that provide a variety of value-added services. In most cases, value-added services are advanced multivariate data analyses such as regression, GLM, discriminant analysis, MDS, clustering algorithms, and proprietary procedures.What makes this role important at Ipsos?We are seeking a Market Research Analyst with a strong quantitative background and expertise in statistical modeling and experimental research methods. The Research Analyst, Marketing Science is a resource for internal and external clients in the design and analysis of data based on statistical procedures. As a Research Analyst, you will provide expertise in the appropriate use of value-added analytical models, including approaches proprietary to Ipsos.What you can expect to be doing:Clean, structure, code, and summarize survey and secondary dataUse statistical software (SPSS, R, etc.) and business software (Excel) to uncover and evaluate solutions, and assist project staff in running statistical analysesApply programming skills (Excel VBA, Python, etc.) to help automate standard statistical procedures and chart creation.Demonstrate your understanding of multivariate analysis and Ipsos proprietary products, and work with Client Service from understanding business questions to design, analysis, and applicationWork from an analytic plan, assemble Excel outputs or PowerPoint decks to provide results and explanations for Client ServiceConsistently ensure the timely delivery of error free workThis might be the job for you if you have:BS or MS in Statistics, Applied Statistics, Biostatistics, Econometrics, Quantitative Psychology, or a closely related quantitative field.Strong academic foundation in: Experimental design (DOE)Hypothesis testingRegression analysisAnalysis of variance (ANOVA)Linear and generalized linear modelsSampling methodologiesMultivariate statistical analysisExperience designing and analyzing market research studies, including surveys, pricing research, concept testing, and customer insights projects.Ability to design experiments and quasi-experiments to measure causal impact.Experience applying statistical methods to business decision-making.Proficiency with statistical software such as R, SAS, Python, SPSS, or Stata.Experience communicating complex statistical findings to non-technical business stakeholders.Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!The Innovation Service Line guides clients throughout the innovation journey as they develop and launch new or improved products and services spanning a range of verticals. We help our clients develop the initial idea for a product/service, ensure the fully-articulated description of the product/service resonates with consumers, confirm that prototypes of the product/service properly deliver on consumer expectations, and finetune the full mix prior to launch. This is accomplished using best-in-class services, including idea screening, concept testing, product testing, price and line optimization, package testing and volumetric forecasting. Posting Date: 2026-10-05
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