Advanced Analytics Lead

About the role

The Advanced Analytics Lead will be the primary driver of advanced market research methodologies at Knit - establishing best practices, working with researchers to execute on projects, and working closely with our Product and AI Engineering teams as we build capability into our offer. This new role will be pivotal to the success of Knit through increasing the value and caliber of our research offer. Responsibilities | What you will own... The research function is a primary contributor to Knit's shared business objectives of customer retention and upsells, ultimately measured by Net Revenue Retention (NRR) in addition to supporting the successful acquisition of new business. The levers Advanced Analytics Lead owns to influence these business metrics are: Successful execution of market research advanced analytics methodologies on client projects, leading to increased project value and client renewals Successful creation of market research advanced analytics solutions embedded into our product. Primary responsibilities of this role: Designing advanced analytics workflows and working with Product & Engineering to implement in the Knit platform Establishing best practices and standards for the application of advanced analytics techniques at Knit. Working with Researchers to design and deliver advanced analytics for client's market research projects Recommending market research methodologies and designing studies Interfacing with clients to develop new business and communicate insights Guiding questionnaire development for advanced analytics applications Guiding sampling methodology Analyzing data Executing advanced statistical modeling Data visualization Required Skills & Experiences 10+ years of experience in a market research agency or consulting environment in roles primarily focused on advanced analytics and methodologies, ideally delivering these solutions for enterprise and Fortune 500 clients. Must have: Expertise in market research methodologies (concept testing, A&U, segmentation studies, brand positioning / tracking studies, creative testing, pricing studies, etc.) Must have: Hands-on expertise to design and execute statistical methodologies such as the following: Driver analysis Significance testing Conjoint analysis MaxDiff analysis Factor analysis Cluster analysis Regression analysis TURF Correspondence analysis Pricing sensitivity techniques (Gabor Granger, Van Westendorp, etc.) Weighting The technical ability to independently run these analyses end-to-end using analytics toolkits (e.g., R, Python, SPSS, Q, DisplayR), working directly with raw survey datasets, writing reusable code, and scaling workflows beyond one-off manual outputs. Extreme proclivity for automation and productization, a leader who has innovated and built efficiencies into processes that otherwise would not exist - we are looking for somebody who can take a manual process and scale it beyond themselves to support hundreds of custom research projects at any given point. Solid understanding of marketing strategy and how to apply insights in a business context. Demonstrated ability to mine data to uncover meaningful consumer insights and translate them into actionable marketing recommendations. Skilled at simplifying complex statistical ideas into clear, intuitive data visualizations. Thorough knowledge of market research processes and best practices, including study and questionnaire design, sampling methodology (sample size, composition, weighting), data processing, analysis, and dashboard design. Strong verbal and written communication skills, and experience developing and delivering client presentations. Innovative and out-of-the-box thinking, a hunger to learn new techniques, and the ability to develop novel approaches to solving market research problems.