Quantitative Analyst

Responsibilities

• Data Storytelling & Strategy: 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.
• Data Integration & Workflow Innovation: 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.
• Cross-Functional Collaboration & PM: Manage multiple analytical projects simultaneously, partnering with qualitative analysts and business leaders to integrate findings and ensure timely delivery of well-rounded insights.
• What You Bring:
• 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 Have (But Not Required):
• A blend of consumer research/survey design experience AND technical data skills.
• We recognize this is a rare combination. 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
• We value the importance of family . We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy .
• Join a company with a strong belief in giving bac k to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team.
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Benefits

Additional Information

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply! 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.

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