Consumer Insights Specialist

3 weeks ago

London, Greater London, United Kingdom Mintel Full time

Key Responsibilities:

Crafting Consumer Surveys: Collaborate with report managers across North America and Brazil to develop consumer questionnaires that fulfill research goals and yield valuable insights. Quantitative Data Analysis: Utilize R or comparable statistical software to analyze and compile quantitative consumer research data, while exploring or creating innovative analysis methods. Statistical Advisory: Serve as a consultant to external teams, offering expertise in selecting appropriate research methodologies, devising sampling strategies, and interpreting statistical findings. Market Projections: Take charge of market forecasting by leveraging data from Mintel's market size database, employing a multivariate time-series regression with ARIMA errors methodology. Research Methodology Development: Lead and participate in the formulation of research methodologies and statistical techniques to enhance Mintel's deliverables. In-House Knowledge Development: Assist in designing, conducting, and assessing internal consumer research training, covering aspects such as questionnaire design, data analysis, and statistics. Supplier Relationship Management: Coordinate with external research providers to ensure research is executed within budget and timelines. Internal Database Maintenance: Collect market data through secondary research, including industry or government sources, and recommend new secondary data sources for Mintel's reports. Operational Process Implementation: Play a vital role in the rollout of new operational advancements within the research department, proactively seeking ways to enhance best practices. Contribution to Predictive Modeling: Collaborate with various departments to expand Mintel's predictive modeling capabilities, acting as a liaison between consumer research and data science teams.

Ideal Candidate Profile:

We value diverse backgrounds and experiences, so we encourage candidates to apply even if they do not meet every requirement. We believe that the right candidate can bring unique strengths to our team.

Research Expertise: Strong understanding of designing and analyzing both quantitative and qualitative research tools, including online surveys and discussion guides, along with experience in secondary data sources. Analytical Skills: High proficiency in quantitative research methodologies and statistical analysis techniques, including correlation and multivariate regression, with experience in R or similar software. Data Science Familiarity: Comfortable with Python and SQL, with experience in developing predictive or machine learning models. Attention to Detail: Exceptional organizational skills and a commitment to quality, ensuring accuracy and efficiency in all tasks. Curiosity: An inquisitive mindset with the ability to navigate complex data and ask insightful questions to uncover patterns and insights. Self-Motivated: Proactive in identifying solutions and opportunities, with the ability to manage multiple projects in a fast-paced environment. Communication Skills: Strong verbal and written communication abilities, capable of adapting style to various audiences and effectively presenting analytical findings. Collaborative Spirit: A team player who fosters internal relationships and seeks collaborative opportunities to enhance client experiences.

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