Quantitative Business Analyst (Data Science / AI)
SendcloudE-commerce Shipping company
Eindhoven, Netherlands€56,500+Mid
SoftBank Vision Fund 2
L Catterton
HPE Growth
BOM
TIIN Capital
Earlybird
Data & AI
About the role
TL;DR
Transform operational data into actionable solutions using AI and analytics.
- •As a Quantitative Business Analyst in the Business Intelligence & Automation team, you will transform operational data into actionable solutions to enhance processes and customer experience.
- •You will own projects end-to-end, from forecasting and pricing to advanced analytics and automation, with a focus on applying AI for business impact.
- •Key Responsibilities Turn data into business value by building actionable solutions grounded in operational understanding.
- •Own projects end-to-end, from initial question to delivered insight, with fast iteration.
- •Proactively dig into data to identify opportunities in forecasting, pricing, advanced analytics, and automation.
- •Apply AI pragmatically to real business problems, such as smart automations and LLM-assisted workflows.
- •Build and maintain dashboards for key operational metrics.
- •Requirements Master's degree in Econometrics, Mathematics, Data Science, or a quantitative field. 2+ years of working experience with excellent analytical skills.
- •Proficiency in Python or R, and comfortable with SQL and databases.
- •Experience working with APIs.
- •Fluent in verbal and written English.
- •Based within travel distance of Eindhoven.
Required skills
PythonSQLRLLMs
Domain expertise
logisticsecommerce
Benefits & perks
Holiday allowance, Learning budget, Courses, certifications & conferences, Growth in an international team, 28 days of paid vacations per year, Extra day off on your birthday, Swap public holidays for meaningful ones, 4 weeks fully paid sabbatical every 3 years, Flexible hybrid model, €500 home office budget, Company gym, Free lunch every Monday, Fresh fruit, Barista coffee, Monthly commuting allowance, Pension scheme, Employee discount programs, Dog-friendly office, After-hours drinks at the Sendcloud Bar
Tech stack
PythonRSQLLLMs
