At Seven Senders, we connect people and markets, making international shipping a simple matter.

We are the leading platform for cross-border parcel delivery in Europe. We support e-commerce companies in successfully implementing their growth and internationalization plans and connecting millions of consumers with their desired products. Whether the focus is on speed or cost efficiency, we provide direct access to Europe's premier local carriers. Responsible for the daily end-to-end supply chain from the warehouse to the customer's doorstep, we ensure the parcels reach their destination efficiently and reliably.

Our mission is to connect markets with unparalleled ease using our innovative platform, which combines the best European delivery services with local logistics expertise. Since Johannes Plehn and Thomas Hagemann founded the company in Berlin in 2015, we've grown into a dedicated team of over 220 professionals. Today, we're proud to serve renowned clients such as ASOS, Shop Apotheke and Tamaris, continually advancing our journey as a European operating champion.

At Seven Senders, our Business Intelligence team, led by Jimi Herrera, stands as the cornerstone of our data-driven ethos. We champion self-sufficient BI, fueling analytics and informed decisions with cutting-edge technology and streamlined workflows. We merge internal and external data from the 7S supply chain within our data hub, delivering enhanced intelligence and optimal automation to all stakeholders.

In this role, you will work closely with our data engineers to provide the best data models and collaborate with different stakeholders from the business on all levels to make data-driven decisions. You will be working to conduct a thorough analysis of large and complex data sets to extract meaningful insights.

The essence of your role

• Develop and maintain robust data models, reports, and dashboards to analyze and visualize complex datasets.
• Identify opportunities to improve processes and strategies with technology solutions.
• Ensure quality control over data, analyses, and metrics.
• Provide recommendations to the business by interpreting disparate data and translating ad hoc requests to deliver relevant and impactful results consistently.
• Work closely with Data Engineers to provide the best data models.
  
  
  

This is what you need to succeed

• +4 years of professional experience as a Business Intelligence Analyst, Data Analyst, or in a relevant field.
• Excellent SQL skills with experience with cloud-based data warehouse solutions (Snowflake experience is a plus).
• High proficiency in data visualization tools like Looker, Tableau, Power BI, or similar tools.
• Previous experience in e-commerce or logistics.
• Proactive and solution-oriented attitude.
  
  
  

What we offer:

Flexible & Hybrid Work: Our office is at Alexanderplatz; we have a hybrid working model with flexible remote-office set-up and working hours. And if you wish, you can work from almost anywhere for up to 2 months per year.

Personal Growth: We want you to grow and develop your career with us. In addition to exciting opportunities, we offer a development platform with professional training programs and a culture that champions personal and career development.

Benefits: We offer a corporate benefits platform and German & English language courses.

Mission Zero: Climate-neutral and long-term impact. With our green initiatives, we are reaching climate neutrality for ourselves, and hopefully, we're inspiring the entire logistics sector to join us to create a sustainable future.

Vibrant Culture & Community: We embody collaboration, open doors, and no-fuss results focus, and we are successful with our data-driven and efficient working approach. We like to celebrate and come together, and we strive for a workplace buzzing with energy and camaraderie, highlighted by regular team events, BBQs, and company-wide celebrations.

Inclusive Environment: We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender identity, age, or disability.