As part of the global Consumer Research and Data Analytics team at Mintel, this Analyst will help provide a first class level of quantitative and qualitative consumer analysis and insight to the annual schedule of Mintel’s consumer reports within a variety of industry sectors such as food & drink, leisure, media and technology, retail, finance, beauty, household, etc.

This role requires working closely with one or more of Mintel’s in-house analyst teams in the U.S., Canada, and Brazil managing their research projects from questionnaire design through fieldwork and data analysis. Experience in designing online quantitative and qualitative consumer research surveys, as well as understanding data analysis techniques and their application, is key and an integral part of your daily job routine. We are also looking for someone with a background or familiarity with predictive or machine learning modeling and the creative vision to help build out our capabilities in these areas.

As well as working closely with analyst teams, the role gives a high level of visibility and exposure within the research department as well as the opportunity to interact with other Mintel teams including Consultancy and Sales teams.

This is a Hybrid position based in Chicago.

What You Will Be Doing:

• Designing consumer surveys: Working with report managers in the U.S., Canada, and Brazil to design consumer questionnaires (both quantitative and qualitative) to meet research objectives and provide insightful analysis.
• Analyzing quantitative data: Using R (or similar statistical software) to analyze and tabulate quantitative consumer research data, as well as looking at or developing new analysis techniques.
• Statistical consultancy: Acting as a consultant to external teams, providing expertise in selecting research methodologies, devising sampling, and interpreting statistical analysis.
• Market forecasts: You will be responsible for market forecasts using data sourced from Mintel’s market size database using a multivariate time-series regression with ARIMA errors approach.
• Product development: Participate in and lead the development of research methodologies as well as statistical techniques to add further value to Mintel’s output.
• Developing in-house knowledge: Helping to design, conduct, and evaluate in-house consumer research training (including questionnaire design, data analysis, statistics).
• Managing supplier relationships: Liaising with external research providers ensuring research is conducted on budget and to schedule.
• Maintaining internal databases: Gathering market data through secondary research such as industry or government data (eg Census data). Furthermore, you will be expected to recommend and implement new secondary data sources for use within Mintel’s reports.
• Implementing operational processes and changes: Playing a key part in the roll out of new operational developments within the research department (eg software, new processes, etc.), as well as proactively looking at ways in which we can improve best practice within the team.
• Helping develop Mintel’s predictive modeling offerings: Contributing directly and liaising with other departments within the company to build out new predictive models and products. Specifically acting as a bridge to facilitate collaboration and communication between the consumer research and data science teams.

Who We Are Looking For:

While we may have a wish list, we are always open to looking at different profiles for our roles, so please don’t hesitate in applying even if your experience does not check all of the boxes. We believe there is no one perfect resume for a role, but there is a perfect candidate for us, and that could be you.

• A Researcher: You have a strong knowledge of designing and analyzing quantitative and qualitative research instruments, including online surveys and discussion guides. You have experience in understanding and researching secondary data sources, such as industry or government data.
• A Data Analyst: You have a high degree of numeracy and experience in quantitative research methodologies and statistical analysis techniques such as correlation, multivariate regression, segmentation using factor, cluster and/or CHAID analysis. You have experience with analyzing survey data in R (or similar statistical software), and will be eager and willing to look for new ways to analyze data to advance Mintel’s research methods.
• Data Science Background: You have familiarity and experience with Python and SQL, and are comfortable working on and/or developing predictive/machine learning models.
• Detail-Oriented: You have excellent attention to detail and strong organizational skills. You are dedicated to quality, ensuring accuracy and efficiency in your work to elevate Mintel as a top consumer insights company.
• Naturally Curious: You have an inquiring mind and are great at navigating internal and external data, asking second and third level questions to see the patterns behind data to craft expert analysis to be used by clients.
• Self-Directed: You take initiative to solve problems and uncover opportunities. You have a self-sufficient work ethic, are entrepreneurial in spirit, and are naturally self-motivated. You welcome the ability to work in a fast paced environment and work autonomously to manage and prioritize multiple projects at once.
• A Great Communicator: You have extremely polished verbal and written communication skills, and can adapt your communication style to internal and external partners. You speak clearly, concisely, and present yourself with confidence. You have a keen ability to explain and promote analytical output to non-technicians.
• A Collaborator: You bring an energy to the table that encourages and develops internal relationships. You seek out opportunities to collaborate with peers in your department and across the organization to ultimately elevate our clients’ experience.

Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

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