Senior Quantitative Analyst - SKU Productivity & AI

Schumacher

Italia

Remote

EUR 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Remote in Europe
NYC office access (1–2 weeks/yr)
CEO visibility

Job summary

Schumacher & Co. is a leading interior design firm with a global footprint fully remote in Europe. We are seeking a hands-on Senior Quantitative Analyst, Portfolio to lead analytics for SKU productivity and capital allocation across a portfolio of 20,000+ SKUs.

You will report to the Sr. Director of AI & Data Insights and collaborate with the CEO daily. The role requires deep statistical modeling expertise, strong SQL/Python, and experience in presenting insights to executives.

Qualifications

  • 2-5 years in data science or analytics in SKU-driven businesses.
  • Strong grounding in statistics or operations research (regression, hypothesis testing, multivariate analysis).
  • Proficient SQL and Python, with Snowflake experience.
  • Experience presenting findings to senior stakeholders and executives.
  • Independent, proactive executor who ships high-impact work.
  • Curiosity and depth in SKU-level economics (margin, inventory, lifecycle).
  • Hands-on experience applying AI/ML to automate repetitive analysis.

Responsibilities

  • Collaborate with CEO and Product Strategy to address strategic questions with analytics.
  • Use statistical methods to identify drivers of productivity and guide portfolio strategy.
  • Control for confounders like stock-outs and seasonality in analyses.
  • Identify and correct data quality issues in source systems and downstream analytics.
  • Present findings clearly to executive audiences.

Skills

SQL
Python
Snowflake
Data analysis
Statistics
AI/ML
English communication

Tools

Snowflake
Power BI

Job description

Schumacher & Co. is a leading interior design firm with a global footprint fully remote in Europe. We are seeking a hands-on Senior Quantitative Analyst, Portfolio to lead analytics for SKU productivity and capital allocation across a portfolio of 20,000+ SKUs.

You will report to the Sr. Director of AI & Data Insights and collaborate with the CEO daily. The role requires deep statistical modeling expertise, strong SQL/Python, and experience in presenting insights to executives.

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