Senior Quantitative Analyst

🔥 15 hours ago

🇵🇹 Portugal – Remote

💵 €60k / year

⏳ Contract/Temporary

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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F. Schumacher & Co.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1889

👥 B2C

🛒 Retail

👗 Fashion

B2C • Retail • Fashion

F. Schumacher & Co. is a premier company in the home decor industry, offering a rich selection of high-end designer fabrics, wallpapers, trims, bed and bath products, pillows, accessories, rugs, antiques, furniture, and paint. Established in 1889, the company is known for its commitment to timeless design and exceptional quality, serving as a leading resource for interior decoration. Schumacher also collaborates with renowned designers and is dedicated to providing luxury products that transcend the ordinary. With a long history of innovation, F. Schumacher & Co. is a trusted name for those seeking to elevate their home decor.

📋 Description

• Own analytics and reporting supporting the Portfolio Development team, focusing on SKU productivity and capital allocation across 20,000+ SKUs • Work with the CEO and Product Strategy stakeholders to understand strategic questions and build analysis and reporting • Apply statistical methods such as conjoint analysis and multivariate regression to identify product attributes driving productivity • Translate findings into guidance on portfolio expansion, contraction, or shifts • Identify and control for confounders such as stock-outs, new or discontinued SKUs, and seasonality • Identify data inconsistencies at the source and correct records in Snowflake • Work with upstream platform owners to improve source data and downstream analytics • Present findings independently to technical and non-technical executive audiences • Recommend and maintain recurring analytics and reporting on SKU productivity • Use AI to explore data, automate reporting, catch errors, and increase analytical output

🎯 Requirements

• 2-5 years in data science, analytics, or statistics in similar SKU-driven businesses • Solid grounding in statistics or operations research, including regression, hypothesis testing, multivariate analysis, and optimization • Strong SQL and Python • Hands-on Snowflake experience, including writing back to correct or clean production data • Track record of presenting findings and challenging assumptions directly with senior stakeholders and executives • Independent execution and ability to set analysis priorities against business goals • Curiosity and ability to investigate data until conclusions are robust • Understanding of SKU-level economics, including sell-through, margin, inventory position, and lifecycle stage • Experience treating data quality issues by investigating root causes and correcting them directly • Hands-on experience applying AI/ML in a business context for task automation • Strong English communication skills and a high ownership mindset

🏖️ Benefits

• Competitive salary and benefits, based on experience • Fully remote work within Europe • Optional time in the 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