Senior Quantitative Analyst

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

📋 Description

• Take charge of analytics and reporting that supports the Portfolio Development team, concentrating on SKU productivity and capital allocation across over 20,000 SKUs.

• Collaborate with the CEO and Product Strategy stakeholders to grasp strategic inquiries and formulate analysis and reporting.

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

• Convert findings into recommendations regarding portfolio expansion, reduction, or adjustments.

• Recognize and control for confounders including stock-outs, new or discontinued SKUs, and seasonality.

• Detect data discrepancies at the source and rectify records within Snowflake.

• Partner with upstream platform owners to enhance source data and downstream analytics.

• Present insights autonomously to both technical and non-technical executive audiences.

• Suggest and maintain ongoing analytics and reporting on SKU productivity.

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

⛳️ Requirements

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

• 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 and correct production data.

• Proven history of presenting findings and challenging assumptions directly with senior stakeholders and executives.

• Ability to independently execute tasks and prioritize analysis in alignment with business objectives.

• A curious mindset with the capability to delve into data until robust conclusions are reached.

• Familiarity with SKU-level economics, including sell-through rates, margins, inventory levels, and lifecycle stages.

• Experience in addressing data quality issues by investigating root causes and implementing 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.

🏝️ Benefits

• Competitive salary and benefits, commensurate with experience.

• Fully remote work opportunity within Europe.

• Optional time in the NYC office (1–2 weeks per year).

• Direct access to the CEO, providing real influence on Product Strategy and Merchandising decisions.

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