Responsibilities

• Synthesize and integrate large amounts of data into compelling, concise deliverables that meet clients’ needs and expectations.
• Summarize and analyze data; making recommendations related to research findings.
• Report findings, complete with graphs illustrating data and written text explaining complex findings.
• Explore, test, and integrate AI-powered tools to streamline qualitative analysis and quantitative data processing.
• Process and prepare research data, including cleaning raw datasets, merging datasets for tracking projects, validating survey responses, data weighting, and coding open-ended responses for analysis.
• Participate in research design and analysis planning sessions.
• Collaborate with client services staff on research projects, setting timeline expectations and preparing reports for presentations.

Requirements

• Five (5) years’ experience in professional field.
• Knowledge and understanding of, or desire to learn, question and questionnaire design, data cleaning procedures, and applications of Generative AI and machine learning models within market research methodologies.
• Practical market research/client experience with applied knowledge of advanced statistical and analytical techniques used in quantitative analysis.
• A creative mindset, with the ability to visualize data in high-impact, client-ready ways using tools such as Canva and PowerPoint.
• Ability to translate complex concepts and methodologies into easily understood language.
• Knowledge of SPSS, SAS or other advanced statistical analysis software.
• Experience utilizing AI-driven research platforms or prompt engineering for data synthesis
• Experience with Tableau, DisplayR or similar data dashboarding tool.

Preferred

• Bachelor’s degree in a relevant field such as Market Research, Sociology, Psychology, Economics, Statistics, Marketing, Political Science, or a related discipline.
• Strong analytical mindset with excellent attention to detail.
• A foundational understanding of quantitative research principles and survey methodologies.
• Mid to advanced level of knowledge of Microsoft Office Suite.
• A natural curiosity and a strong desire to learn and grow professionally.
• Flexibility to work in a fast-paced environment under tight deadlines with demanding quality requirements.
• Ability to prioritize workload and manage multiple tasks simultaneously.