Quantitative Analyst

Scotts Miracle-Gro•Columbus, OH

27d•$77,200 - $90,800•Remote

About The Position

The Quantitative Analyst will manage and support high-impact research projects, primarily focusing on survey design, consumer data analysis, and the synthesis of quantitative data to inform key business decisions. At its core, this role is about understanding consumer behavior through data. While grounded in statistical programming (R) and rigorous research methodologies, the analyst will also leverage modern data tools (SQL, AWS) and applied AI to scale their workflows and improve data quality. This position is ideal for a driven analyst who is hungry to learn, eager to refine their strategic storytelling, and looking to expand their impact across the business.

Requirements

Minimum of 2-4 years of experience in quantitative data analysis, statistical modeling, and insights generation.
Bachelor’s degree in Statistics, Data Science, Economics, Math, Behavioral Science or related field preferred

Nice To Haves

A blend of consumer research/survey design experience AND technical data skills.
Candidates with strong foundational statistics/programming who are eager to be mentored in advanced survey design, or vice versa, are highly encouraged to apply.
Masters degree preferred

Responsibilities

Lead the design and execution of consumer surveys (e.g., Suzy, Qualtrics).
Perform rigorous statistical modeling (such as negative binomial regression and difference-in-difference) to measure business impact and isolate causal effects (e.g., measuring retail merchandising lift while controlling for weather/seasonality).
Translate complex quantitative findings into clear, strategic presentations.
Build actionable visualizations (in R or Python) to present insights to stakeholders and directly influence brand and retail strategy.
Supplement traditional survey research by pulling secondary behavioral data (using SQL).
Experiment with modern AI tools (like LLMs) to speed up manual processes, such as cleaning, categorizing, and quality-controlling open-ended survey responses.
Manage multiple analytical projects simultaneously, partnering with qualitative analysts and business leaders to integrate findings and ensure timely delivery of well-rounded insights.