Operations Research Analyst (m/f/x)

at  Alumni Network Job Board

WHAT YOU’LL BRING

• Master degree from a top-tier university in Operations Research, Mathematics, Industrial Engineering or Management Science
• Must be proficient in mathematical programming and familiar with Operations Research concepts (experience with tools like Cplex, Gurobi, AIMS or similar is a plus)
• 2+ year relevant industrial experience that showcase your ability to put optimization models into use
• Applied knowledge in Python, SQL and experience with BI tools such as Tableau, Power BI, Looker etc.
• Excellent written and verbal communication and presentation skills with both business and technical stakeholders
• Must be highly proactive, autonomous, possess advanced problem-solving ability, critical and strategic thinking
• Highly effective and excellent project management skills; the ability to participate and lead high-profile projects in a fast-paced, deadline-driven environment

THE ROLE

As an Operations Researcher, you will be joining an international, cross-functional team who is revolutionizing the way we manage our supply chain processes, from menu planning, via production management, to logistics. As part of your responsibilities, you will play a key role in improving and expanding our production and logistics planning capabilities. Your work will have an immediate impact on our business operations performance.
Above all, we are looking for people who will make HelloFresh better. We believe there are many different ways of developing skills and we love diverse experiences! So even if you don’t “tick all the boxes” but think you’d thrive in this role, we would really like to learn more about you.

WHAT YOU’LL DO

• Create mathematical optimization models and tools to solve practical business problems in production and logistics planning; roll them out
• Own your projects, implement your vision to our tools and processes
• Develop data pipelines and support the creation of dashboards to provide actionable insights and showcase the business impact of your tools
• Identify problems proactively, formulate and implement robust and data-driven solutions
• Collaborate cross-functionally with business stakeholders as well as coordinate with engineering and other data teams
• Promote the team’s enthusiasm for data-drivenness and ensure company-wide commitment to optimization paradigms