Analytics Engineering Intern (f/m/d)

at  Zenjob

WHAT YOU’LL BRING:

• Current enrollment in a Bachelor’s or Master’s degree program in Data Science, Statistics, Economics, Computer Science, Information Technology, or a related field.
• Strong analytical skills and experience with analytical tools ( Must Have : SQL Good to have : Python/R )
• Experience with data visualization tools (e.g., Tableau, Metabase) .
• Motivated to learn data modeling using tools like DBT
• Basic understanding of statistical modeling and data analysis techniques.
• Excellent problem-solving skills and ability to work independently on projects.
• Strong verbal and written communication skills.
• Detail-oriented with a keen interest in data-driven decision making.

THE ROLE

We are seeking a data enthusiast with strong acumen for fostering self service analytics in our organization. The role, based in Zenjob Headquarters in Berlin provides a gateway into learning the process and infrastructure of a sophisticated business intelligence team. If you have a strong knack in creating resources which helps user understand data better, this role is for you. As an intern, Zenjob offers an opportunity for you to be an active contributor in optimizing the day to day work using your skills in statistics, data visualization and modeling.
Zenjob is on the mission to become the digital staffing platform delivering companies best staffing experience with the highest flexibility and reliability, and workers the best choice and fair pay for side jobs. Our service is available in over 39 cities in Germany. Our growth financing round of $50 million (€45 million) from February 2022 is helping us to scale our platform and add new data-based automation features for our rapidly growing customer base.

WHAT YOU’LL DO:

• Enhance the habit of Self service analytics at company level by improving Data products and eliminating knowledge bottleneck
• Design and document optimized process on data visualization and reporting
• Assist in collecting and analyzing data from various sources, including operational databases, mobile and web events, CRM tools.etc.
• Participate in the design and implementation of models to predict trends, measure outcomes, and optimize business processes.
• Collaborate with cross-functional teams, including marketing, finance, and operations, to support data-driven strategies.