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Marketing and Data Science Analyst

4 months ago

St Louis, United States Kynetec Full time

At Kynetec, we're proud to be at the forefront of the intersection between agriculture, sustainability, and animal health. We’re redefining our industry with unparalleled insights and leading technology, whilst on an ambitious growth plan to supersede our influence from the food on our plates, to the health of our livestock and the care of our beloved pets at home.


We owe our success to our industry experts. They are the driving force behind our reputation as a global leader in the industry - Their innovative ideas and expertise have helped us achieve new heights. From seasoned insights specialists, and client leaders to innovative tech genius. What connects us? A shared passion for Agriculture and Animal Health We don’t settle for “business as usual”. Each day, we are taking strides towards transforming our industry and improving the lives of people and animals around the world. If you’re looking for a company who challenges the norm and fosters a culture of innovation, Kynetec is the place for you.


Role Overview:

Kynetec is seeking a Marketing & Data Science Analyst to join our team to provide analytic support for custom projects across the organization.


This role is full-time, permanent and 100% remote.


Main Responsibilities

  • Collect, shape, and clean data for analysis.
  • Evaluate data for completeness, relevancy, and correctness.
  • Analyse data using standard statistical techniques such as: linear and logistic regression, weighting, score calculations, choice modelling and clustering.
  • Perform significance tests for scores, distributions and parameter estimates.
  • Use simple conjoint simulators and segment viewers.
  • Provide answers and solutions to complicated business queries.


Requirements of this Role

  • A bachelor’s or master’s degree in Data Science or a quantitative subject is essential.
  • 2+ years experience in R, Python or other statistical software programming is required.
  • Strong Excel skills, VBA experience is preferable.
  • 2+ years’ experience in a marketing research quantitative analytics role.