Research Analyst, Global Modeling Unit

About Innovation GMU 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.

JOB DESCRIPTION

Our 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 looking for someone who is passionate about market research and motivated by a fast-paced and challenging work environment. This is an excellent entry‑level opportunity for someone who is interested in starting a career in market research. 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 degree or MS degree in Quantitative Marketing or Social Sciences, Statistics, Applied Mathematics, Marketing Research, or a related field of study with an analytic/quantitative/research focus Statistical analysis background is desirable Knowledge and hands‑on experience of SPSS or other statistical analysis packages Python, R, VBA coding experience a bonus Understanding of text analytics and AI in marketing research a plus Effective communication skills and ability to present data findings in an easy‑to‑understand manner to internal and external clients less familiar with statistical techniques Inquisitive personality with a strong desire to learn Ability to work both independently and as part of a team Good attention to details and logical decision‑making process In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $55,000 to $70,000. Your final base salary will be determined based on several non‑discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications. What’s In It For You At Ipsos you’ll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture. Inclusive Workplace Commitment Ipsos recognizes the necessity of building an inclusive culture that values each employee’s individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos’ diverse employees who compile and analyze this data—they are the essence of who we are and what we do. We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual. Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.

ABOUT US

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!

ABOUT THE TEAM

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. #J-18808-Ljbffr Ipsos