Medior Quantitative AI & Automation Analyst

SendCloud; Eindhoven; Presencial; EUR 57.000 - 77.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Salary range

Learning budget

Flexible hybrid

Pension plan

Dog-friendly office

Free lunch

Commuting allowance

Sabbatical

Home office budget

Gym access

Birthday day off

Descripción de la vacante

Sendcloud in Eindhoven seeks a Medior Quantitative Business Analyst to design and build AI agents, automations, and data solutions that boost internal efficiency and scale a global shipping platform.

You will join the OPS team of QBAs, own projects end-to-end, collaborate with data engineers on AWS, and translate business problems into practical, high‑impact AI‑driven solutions. Fluent in English and a Master’s degree are required; 2–5 years of experience.

Formación

• Master’s degree in Econometrics, Mathematics, Data Science, Computer or Software Science or another technical field.
• 2–5 years of relevant work experience.
• Fluent in English - written and spoken.
• Experience with coding, data warehouses, cloud, AI, ETL, Python, LangChain/Graph.
• Located in Brabant or Limburg area; office min 3x per week in Eindhoven HQ.

Responsabilidades

• Own the full journey from end to end: understand business problems, design solutions, build and implement, optimise after go‑live.
• Apply an entrepreneurial mindset to deliver early value and iterate quickly.
• Bridge tech and business by translating complex challenges into practical, high‑impact solutions.

Conocimientos

English fluency

AI & automation

Problem solving

Stakeholder communication

Analytical mindset

Educación

Master’s degree in Econometrics/Math/Data Science/CS

Herramientas

Python

LangChain

Data warehouses

ETL

Cloud platforms

Graph databases

Descripción del empleo

Sendcloud in Eindhoven seeks a Medior Quantitative Business Analyst to design and build AI agents, automations, and data solutions that boost internal efficiency and scale a global shipping platform.

You will join the OPS team of QBAs, own projects end-to-end, collaborate with data engineers on AWS, and translate business problems into practical, high‑impact AI‑driven solutions. Fluent in English and a Master’s degree are required; 2–5 years of experience.