Senior Quantitative Analyst

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

📋 Description

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

• Collaborate closely with the CEO and Product Strategy stakeholders to grasp strategic inquiries and develop analyses and reports.

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

• Convert analysis into actionable insights regarding portfolio expansion, contraction, or adjustments.

• Detect and manage confounding factors such as stock-outs, new or discontinued SKUs, and seasonality.

• Identify data discrepancies at the source and rectify records in Snowflake.

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

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

• Propose and sustain regular analytics and reporting on SKU productivity.

• Leverage AI to expedite data exploration, automate repetitive 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 programming languages.

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

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

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

• Demonstrated curiosity and thoroughness in investigating numerical results.

• Understanding of SKU-level economics, such as sell-through rates, margins, inventory positions, and lifecycle stages.

• Considers data quality integral to the role and addresses root causes directly.

• Hands-on experience implementing AI/ML in a business setting for task automation.

• Excellent English communication skills and a strong sense of ownership.

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

• Exposure to margin, pricing, or demand forecasting data.

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

🏝️ Benefits

• Competitive salary and benefits package, commensurate with experience.

• Fully remote work opportunity within Europe.

• Option to spend time in the NYC office (1–2 weeks per year).

• Direct interaction with the CEO, providing real influence on Product Strategy and Merchandising decisions.

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