What awaits you!
As part of the Analytics team, you will work in an agile feature team and interact closely with your colleagues from the frontend and backend.
- Building a modern analytics/data pipeline
- Provide clean and structured data to users of dashboards and BI tools (e.g. Tableau) as well as internal services such as recommendation engines, searches, etc.
- Contribute to the design of our data infrastructure and analytics workflows
- Preparation of data using ETL/ELT from various sources (tracking and catalog data) into a form suitable for analyses
- Ensure high data quality through thorough testing and proven software engineering methods
- Assist in the creation of analyses, reports and dashboards, and data-driven product development
- Joint responsibility for the operation of our databases and services on AWS
What you bring with you!
- Successfully completed studies in computer science, mathematics, physics, computer/data science or a comparable qualification
- Work experience of two years would be an advantage
- An analytical and data-oriented mindset and enthusiasm for numbers and metrics
- Enjoy generating, preparing and merging large amounts of data from diverse data sources
- First experience in building an analytics stack or ETL/ELT: e.g. with Apache Airflow, AWS Glue, Databricks, Apache Spark, dbt.
- Very good knowledge in:
- Kotlin/Java (krangl, kmath, kotlin-statistics, lets-plot)
- Python (pandas, NumPy, SciPy, matplotlib)
- Test Driven Development, CI/CD (Gitlab)
- Dealing with databases: noSQL (MongoDB, neo4j) and SQL (postgreSQL)
- Other experience would be an advantage:
- Tracking with Snowplow Analytics
- Google Analytics (UA and 4), Google Tag Manager
- ElasticSearch/OpenSearch
- Data visualization tools/BI tools such as Tableau, Power BI
- Kubernetes and Terraform
- Machine Learning with e.g. Tensorflow, Keras, Pytorch
- Independent and solution-oriented work
- Curiosity to learn about new topics, methods and tools
- Fluent German as well as spoken and written English
If you also enjoy working in a team, have a high level of initiative and a pragmatic way of working, then we look forward to getting to know you.
Become a part of Plan.One! Send your application directly to Kirsten – career@plan.one – we are looking forward to hearing from you!