Senior Quantitative Analyst

F. Schumacher & Co.; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Fully remote in Europe

NYC office 1–2 weeks/yr

Direct visibility with CEO

Inclusive, low-ego environment

Job summary

F. Schumacher & Co. is hiring a Senior Quantitative Analyst, Product Portfolio (Statistical Modeling) to own analytics and reporting for our Portfolio Development team.

You will focus on SKU productivity and capital allocation across a 20,000+ SKU portfolio, reporting to the Sr. Director of AI & Data Insights while coordinating with the CEO and Chief of Staff. You will distinguish signal from noise, fix data issues in Snowflake, and present insights to executive stakeholders.

Qualifications

• 2–5 years in data science or analytics in SKU-driven businesses.
• Strong grounding in statistics or OR (regression, hypothesis testing, multivariate analysis).
• Proficient in SQL and Python; Snowflake experience; able to write back to production data.

Responsibilities

• Collaborate with CEO & Product Strategy to define key questions and deliver analyses.
• Apply statistical methods to identify product attributes driving productivity and guide portfolio decisions.
• Control for stock-outs, new/discontinued SKUs, and seasonality to reflect true patterns.

Skills

SQL

Python

Statistics

Data analysis

Communication

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Power BI

Job description

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& Codesigns 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 forwhat’scome before, a drive to make our products with enormous care and attention for detail.F.Schumacher& Cois a globally recognized company with a myriad of showrooms both domestically and internationally.

Our competitive advantage in the industry isourpeople. 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:

• Take Ownership & Accountability
• Be Solutions-Oriented
• Demonstrate Courage

We empower our employees to live these values daily because we understand how it will positivelyimpactthe customer's journey. F. Schumacher & Co., also known as FSCO, is the parent company to many brands within our portfolio.This role is a part of Data Insights & AI team

Role Overview

We'relooking for a hands-on,Senior Quantitative Analyst, Product Portfolio (Statistical Modeling)to own analyticsandreporting 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 & DataInsights, butis 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.

WhatYou’llDo

• 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) toidentifywhich 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: systematicallyidentifyand control for confounders like stock-outs, new/discontinued SKUs, and seasonality so reported trends reflect real pattern performance
• Identifydata inconsistencies at the source (e.g., ERP, web, product master data) and directly and systematically correct records in Snowflake and work with upstream platform owners to improve the accuracy of source data and downstream analytics
• Present findings clearly and independently to executive audiences, adapting the message for technical or non-technical stakeholders
• Recommend andmaintainrecurring analytics & reporting to provideaccurateandtimelysnapshot of SKU productivity
• Use AI across your own workflow to explore data faster, automate repetitive reporting, catch errors, and multiply output given the scale and growth of the SKU portfolio

Whatwe'relooking for

• 2-5 years in data science,analytics, statisticsin similar SKU-driven businesses
• Solid grounding in statistics or operations research (e.g.regression, hypothesis testing, multivariate analysis, optimization). Able to move beyond descriptive reporting to model relationships between variables and quantify drivers, not just flag correlations
• Strong SQL and Python, with hands-on Snowflake experience including writing back to correct or clean production data (not just read-only querying)
• A track recordof presenting findings and challenging assumptions directly with senior stakeholders and executives
• Independent executor — sets analysis priorities against business goals without waiting for direction, and shipsaccurate, high-impact workin a timely manner
• Curiosity — asks why the numbers look the way they do andkeepsdigging until the answer holds up, rather than reporting the first number that looks plausible
• Thinks in terms of SKU-level economics: sell-through, margin, inventory position, lifecycle stage — and knows how to separate a true productivity problem from a data artifact
• Treats data quality as part of the job, digging into root causes and correcting them directly rather than working around bad data
• Hands-on experience applying AI/ML in a business context for task automation - automating repetitive analysis to spend more time on judgment calls
• Strong English communication skills and a high ownership mindset

Nice to Have

• Experience with Power BI or similar BI tools alongside Snowflake
• Exposure to margin, pricing, or demand forecasting data
• Experience in retail, e-commerce, or luxury/home furnishings goods

What we offer

• Competitive salary and benefits, based on experience
• Fully remote work within Europe, with optional time in our NYC office (1–2 weeks per year)
• Direct visibility with the CEO, with real influence on Product Strategy and Merchandising decisions
• Collaborative, inclusive, and low-ego working environment

We are an Equal Opportunity Employer committed to diversity, inclusion, and equality in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law.