Senior Quantitative Analyst

About Schumacher Schumacher & Co. is an innovative interior design company that is disrupting the$150 billion-dollar global interior design industry. We are a technological leader on the design frontier, constantly pushing boundaries and striving for excellence. With over 500+ employees and growing, we are driven by a shared belief that design transforms life.We are dedicated to the mission of helping our customers “celebrate the feeling of home”. F. Schumacher & Co designs and produces some of the most beautiful fabrics, wallcoverings, trims, rugs, furniture, and accessories in the world. Our portfolio of products is broad, but they are united by a passion for design, a thirst for what is next, an appreciation for what’s come before, a drive to make our products with enormous care and attention for detail. F. Schumacher & Co is a globally recognized company with a myriad of showrooms both domestically and internationally. Our competitive advantage in the industry is our people. We believe that our employees are our most important assets. F. Schumacher & Co is deeply anchored in our company core values which are as follows: Preserve Our Entrepreneurial Spirit Take Ownership & Accountability Be Solutions-Oriented Demonstrate Courage Practice Adaptability Embrace Collaboration We empower our employees to live these values daily because we understand how it will positively impact the customer's journey. F. Schumacher & Co., also known as FSCO, is the parent company to many brands within our portfolio. This role is a 12 month contract and is a part of Data Insights & AI team Role Overview We're looking for a hands-on, Senior Quantitative Analyst, Product Portfolio (Statistical Modeling) to own analytics and reporting in support of our Portfolio Development team, with a specific focus on SKU productivity & capital allocation across a portfolio of 20,000+ SKUs and growing. This role will report directly to the Sr. Director of AI & Data Insights, but is expected to work directly with the CEO & Chief of Staff on a day-to-day basis. This is not a role for someone who takes data at face value. You'll need to distinguish real signal from noise (e.g., a SKU selling poorly because it's out of stock, not because demand is weak), and when you find data that's wrong or inconsistent, you'll have the access and judgment to go into Snowflake and fix it — not just flag it and wait. What You’ll Do Work hands-on with CEO & Product Strategy stakeholders to understand key strategic questions, and then build analysis and reporting to address them directly Use statistical methods (e.g. conjoint analysis, multivariate regression) to identify which product attributes and characteristics (e.g., color, pattern, material, price point, availability) drive productivity, and translate that into data-driven guidance on where the portfolio should expand, contract or shift Cut through data noise at scale: systematically identify and…