Petroleum Data Scientist providing predictive analytics and BI support for Oil and Gas company. Collaborating across departments to foster a data - driven culture and develop reporting tools.
About the role
- Advanced Analytics Lead driving advanced methodologies for AI-native consumer research platform Knit. Establishing best practices and collaborating with teams to enhance research capabilities.
Responsibilities
- The Advanced Analytics Lead will be the primary driver of advanced 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.
- 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.
- Successful execution of advanced analytics methodologies on client projects, leading to increased project value and client renewals.
- Successful creation of advanced analytics solutions embedded into our product.
- 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 projects.
- Recommending 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 mining to derive quantitative based business insights.
- Data visualization.
Requirements
- 10+ years of experience in a market research or consulting environment in roles primarily focused on advanced analytics and methodologies, ideally delivering these solutions for enterprise and Fortune 500 clients.
- Expertise in market research methodologies (concept testing, A&U, segmentation studies, brand positioning / tracking studies, creative testing, pricing studies, etc.)
- Hands-on expertise to design and execute statistical methodologies such as 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.)
- 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.
- Strong command of statistics and algorithms to identify hidden relationships between consumer behavior and survey data.
- 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.
Benefits
- competitive salary + commission
- Equity Options
- Healthcare (medical, dental, and vision)
- Additional Coverage
- company laptop
- one-time onboarding Technology Stipend
- 401(k) with company match
- flexible time-off
- hybrid working
- more!
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
Location requirements
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