Senior Quantitative Analyst

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

📋 Description

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

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

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

• Offer data-driven insights regarding portfolio expansion, contraction, or adjustments.

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

• Detect inconsistencies in source data and rectify or clean production records within Snowflake.

• Collaborate with upstream platform owners to enhance the accuracy of source data and downstream analytics.

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

• Recommend and sustain ongoing analytics and reporting related to SKU productivity.

• Leverage AI to expedite data exploration, automate repetitive reporting tasks, identify errors, and boost output.

⛳️ Requirements

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

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

• Proficiency in SQL and Python.

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

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

• Capability to execute independently and prioritize analysis based on business objectives.

• A curious mindset with the ability to investigate the underlying causes of data patterns.

• Comprehension of SKU-level economics, including sell-through rates, margins, inventory positions, and lifecycle stages.

• Considers data quality an integral part of the role and directly addresses root causes.

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

• Strong English communication skills coupled with a high ownership mentality.

🏝️ Benefits

• Competitive salary and benefits package, commensurate with experience.

• Fully remote work option within Europe, with the opportunity to spend 1–2 weeks per year at our NYC office.

• Direct access to the CEO, offering genuine influence on Product Strategy and Merchandising decisions.

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