Senior AI & Automation Business Analyst

SendCloud; Eindhoven; Hybrid; EUR 66.000 - 100.000; Vollzeit

Benefits dieser Stelle

8% holiday allowance

Learning budget

28 days vacation

Birthday day off

Holiday swap for meaningful days

Hybrid office 3x+ per week

Home office budget

Company gym

Free lunch Mondays

Fresh fruit

Commuting allowance

Pension scheme

Employee discounts

Dog-friendly office

After-hours drinks

Zusammenfassung

Sendcloud is seeking a Senior Quantitative Business Analyst to build AI agents, workflows, automations, and data solutions that boost internal efficiency and decision-making across the company. You will join the OPS team of ~15 QBAs, with data engineers supporting on AWS, in a flat, collaborative culture.

In this role you’ll lead major cross‑team projects, coach other QBAs, and set high standards for AI-driven solutions, while staying close to stakeholders to translate complex problems into

Qualifikationen

• Master’s degree in Econometrics, Mathematics, Data Science, Computer or Software Science or another technical field.
• 4+ 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 and excited to work in office (min 3x a week)
• Bonus: Extra-curricular activities, cool tech hobbies or projects, or a side business.

Aufgaben

• Lead cross‑team projects and shape how we work with AI.
• Design, build and deploy AI agents, automations and data solutions.
• Collaborate with OPS team and data engineers on AWS.

Kenntnisse

Analytical mindset

English fluency

Communication

Stakeholder management

Ausbildung

Master’s degree in Econometrics/Mathematics/Data Science

Tools

Python

LangChain/Graph

ETL

AWS

Data warehouses

Cloud

Jobbeschreibung

Sendcloud is seeking a Senior Quantitative Business Analyst to build AI agents, workflows, automations, and data solutions that boost internal efficiency and decision-making across the company. You will join the OPS team of ~15 QBAs, with data engineers supporting on AWS, in a flat, collaborative culture.

In this role you’ll lead major cross‑team projects, coach other QBAs, and set high standards for AI-driven solutions, while staying close to stakeholders to translate complex problems into