Come see what’s cookin’ at HelloFresh!

At HelloFresh, we want to revolutionize the way we eat by making it more convenient and exciting to cook meals from scratch. We have offices all over the world and we deliver delicious meals to millions of people.  We are the industry leader in meal-kit subscription services and we’re growing all the time. We have distinct meal-kit services that cater to everyone with the most menu variety in the market, which allows us to reach an incredibly wide population of people.  The HelloFresh team is diverse, high-performing, and international, and our work environment is an inspiring space where you can thrive as a result.

Job Description

As a Data Analyst, you will work with the Fulfillment Planning Technology team to help build the next generation suite of internal tools that enable Planning and Operations teams to see and act quickly to changing business conditions. The Data Analyst will extract powerful insights from data to power our products and services.

You will …

• Work with analysts, engineers and planners to design, build, and maintain efficient, scalable and reliable data pipelines to support our business-critical needs in data ingestion, processing, and analysis
• Extract and analyze data to develop powerful data-driven insights using Google Sheets and SQL
• Collaborate with other team members to integrate insights into tools
• Develop dashboards and visualizations to present insights
• Collaborate with other team members to troubleshoot, perform root cause analysis and optimize existing data pipelines and tools
• Work with other team members to challenge ensure data integrity for effective tool integration with other systems and workflows

At a minimum, you have …

• Bachelor’s or Master’s degree in Computer Science, Engineering or related field
• 1+ years of data science, analysis or engineering experience in Fulfillment, Logistics, Supply Chain, Production, or related field working with physical goods
• Strong proficiency in SQL and Google Sheets/Excel
• Experience with Python for data manipulation and analysis preferred
• Startup experience a plus

Schedule

This is a full-time (40 hours, 5 days per week) role that requires working at least one weekend day. Possible schedules include: 

• Sunday - Thursday
• Tuesday - Saturday