Advanced Analytics Lead

Remote
Full Time
Experienced

Who we’re looking for… 

Title: Advanced Analytics Lead
Department: R&D
Team: Research
Reports To:
Head of Research
Supervisory Responsibility: This role currently does not have direct reports.

FLSA Classification: Exempt
Location: NYC preferred, or Remote. Knit has a hybrid working policy, with team members in the US and India. In the US, we have pods in NYC, Austin, Chicago, and D.C. In India, we have a pod in Delhi. Our standard business operating hours are Monday - Friday 9am - 5pm EST.
Travel: This role will be expected to travel up to 5-6 times per year. Note, Knit US does a US All Team Summit in-person once per year.

A little about us… 

Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands — including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate — and we need your help to push the limits of what’s possible.

Overview

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. 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 advanced analytics methodologies on client projects, leading to increased project value and client renewals
  • Successful creation of 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 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 

Required Skills & Experiences

  • 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. 
  • 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
  • Must have: 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.
  • Must have: 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.
  • 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

The salary range for this role is $180,000-200,000.

Benefits

Upon joining the Knit team, you will receive a competitive salary + commission, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more!

Our Company Values

We are the Championship Team. This means we:

  • Are 1% better every day: We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?” 
  • Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action  (When we see a need, we take initiative, and hold ourselves accountable to seeing it through).
Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it.
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