Senior Quantitative Analyst

This is a fully remote position, open to applicants in Spain.

📋 Description

• Collaborate closely with the CEO and Product Strategy stakeholders to address strategic inquiries and develop analysis and reporting.

• Employ statistical techniques such as conjoint analysis and multivariate regression to pinpoint product attributes that enhance productivity.

• Convert analysis into data-informed recommendations regarding portfolio expansion, reduction, or adjustments.

• Identify and manage confounding factors including stock-outs, new or discontinued SKUs, and seasonal variations.

• Detect data inconsistencies across ERP, web, and product-master-data sources.

• Amend records in Snowflake and partner with upstream platform owners to enhance source data and downstream analytics accuracy.

• Independently present findings to both technical and non-technical executive audiences.

• Suggest and sustain recurring analytics and reporting on SKU productivity.

• Leverage AI to analyze data, automate routine reporting, identify errors, and boost output.

⛳️ Requirements

• 2-5 years of experience in data science, analytics, or statistics within similar SKU-driven industries.

• Strong foundation in statistics or operations research, encompassing regression, hypothesis testing, multivariate analysis, and optimization.

• Proficient in SQL and Python.

• Practical experience with Snowflake, including the ability to write back to rectify or cleanse production data.

• Proven ability to present findings and challenge assumptions directly with senior stakeholders and executives.

• Capable of independent execution in alignment with business objectives.

• Inquisitive mindset with the ability to delve into the root causes of data trends.

• Understanding of SKU-level economics, including sell-through, margin, inventory position, and lifecycle stage.

• Considers data quality integral to the role, including root-cause analysis and direct corrections.

• Hands-on experience applying AI/ML in a business context for task automation.

• Excellent English communication skills coupled with a strong ownership mentality.

• Familiarity with Power BI or similar BI tools in conjunction with Snowflake.

• Experience with margin, pricing, or demand forecasting data.

• Background in retail, e-commerce, or luxury/home furnishings sectors.

🏝️ Benefits

• Competitive salary and benefits package, commensurate with experience.

• Fully remote work opportunity within Europe, with optional visits to the NYC office (1–2 weeks annually).

• Direct access to the CEO, with significant influence on Product Strategy and Merchandising decisions.

• A collaborative, inclusive, and low-ego working environment.