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 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 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 application
- Work from an analytic plan, assemble Excel outputs or PowerPoint decks to provide results and explanations for Client Service
- Consistently ensure the timely delivery of error free work
This 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 testing
- Regression analysis
- Analysis of variance (ANOVA)
- Linear and generalized linear models
- Sampling methodologies
- Multivariate statistical analysis
- Experience 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.
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.
Skills Required
- BS or MS in Statistics, Applied Statistics, Biostatistics, Econometrics, Quantitative Psychology, or a closely related quantitative field
- Strong academic foundation in experimental design, hypothesis testing, regression analysis, ANOVA, linear and generalized linear models, sampling methodologies, and multivariate statistical analysis
- Experience 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 nontechnical business stakeholders
Ipsos Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ipsos and has not been reviewed or approved by Ipsos.
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Leave & Time Off Breadth — Time-off policies include generous vacation allowances, paid sick time, volunteer days, Summer Fridays, and an extra birthday day in some regions. Allowances in some markets increase with tenure and include options to buy or sell holiday time.
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Healthcare Strength — Health coverage spans multiple medical plans, dental and vision care, an Employee Assistance Program, and employer-funded income protection and life assurance in certain regions. Private medical coverage is offered for some levels, alongside mental health support resources.
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Parental & Family Support — Paid parental leave is available across regions, with multi-month options and equal maternity and paternity leave in the UK. Flexible working approaches and family-friendly policies are emphasized.
Ipsos Insights
What We Do
In our world of rapid change, the need for reliable information to make confident decisions has never been greater. At Ipsos we believe our clients need more than a data supplier, they need a partner who can produce accurate and relevant information and turn it into actionable truth. This is why our passionately curious experts not only provide the most precise measurement, but shape it to provide True Understanding of Society, Markets and People. To do this we use the best of science, technology and know-how and apply the principles of security, simplicity, speed and substance to everything we do. So that our clients can act faster, smarter and bolder. Ultimately, success comes down to a simple truth: YOU ACT BETTER WHEN YOU ARE SURE First listed on the Paris Stock Exchange: July 1, 1999 Total revenues in 2019: 2,003.3 million euros
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