Working Student - Data Analytics

Berlin, Germany

sennder

"Wir sind Ihr digitaler Logistikpartner im LKW-Güterverkehr für Komplettladungen. Als führender europäischer Spediteur bieten wir Zugang zu tausenden LKWs. Unsere Technologie bringt Transparenz und Flexibilität in die Branche, spart Kosten,...

View company page

*Please note this role will be 16-20 hours per week*

 

sennder, with its HQ located in the heart of Berlin, is changing the way people think about logistics. We’re Europe’s no.1 road freight forwarder with the goal of disrupting and revolutionising this traditional industry. The challenges are huge as many logistics processes and procedures are very manual and inefficient, we’re solving this problem by digitalising and automating to allow for much smoother and more efficient goods transportation. You can learn more about us here

Fresh from our Series D raise we are now looking to hire a Working Student where you will be in the cross-road between Data Analytics and Data Product and support our data analytics end to end. You’ll have the opportunity to work with a state of the art data stack inc Looker, DBT, Snowflake and Airflow.

 

Your challenge will be:

  • First Level support for analytics
  • Data Operations Monitoring
  • Tracking of the analytics team performance with OKRs (Objectives, Key Results)
  • Conduction of research work on key projects at sennder
  • Support ongoing projects while having your own long-term project that you will be working on
  • Work on critical projects related to comprehensive data documentation and cataloging as the foundational work of data accessibility and quality at sennder
  • Contribute to data governance topics 

 

To get there you will need:

  • SQL knowledge, advanced Excel skills are a plus
  • First experience in data visualization tool (we use Looker) are a plus
  • Excellent English skills
  • Data driven mindset
  • Intellectual curiosity and growth mindset

 

What we will be offering:

  • A rising-star startup in its hyper-growth phase
  • A very international and diverse team (9 spoken languages and counting!)
  • The opportunity to get a 360° Analytics experience : 
    • Spanning over various domains (from Operations to Finance, from Automation to Sales, from Green Revenue to Carrier management)
    • Improving your end to end knowledge and expertise from Data wrangling to Data visualization
    • Being exposed to very diverse requests from any of our 7 office locations
    • Sharpen business acumen and build product sense
    • Horne data narrative skills and improve your business communication backed by facts and figures
  • An atmosphere of continuous learning and improvement,
  • Structured regular feedback process enabling personal development
  • Countless opportunities to connect in and out of work with regular team events and plenty of opportunities to e-meet your colleague from remote, when on site is not possible
  • Regular home office and flexible working
  • A modern office in the heart of Berlin with coffee, free beverages, and a gym



At sennder we value commitment, team spirit, and your personal and professional development. Our mission is to offer our teams a diverse work environment by fostering a very friendly and supportive atmosphere and an energetic company culture. We enjoy building and nourishing long-lasting friendships across teams and often come together to plan fun events and activities.

 

Tags: Airflow Data Analytics Data visualization Excel Finance Looker Research Snowflake SQL

Perks/benefits: Career development Fitness / gym Flex hours Startup environment Team events

Region: Europe
Countries: Germany United States
Job stats:  47  5  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.