Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Osnabrück
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you analyze data for various departments, develop data integration processes, process large datasets using BigQuery, and create statistical models to optimize actionable recommendations.
Job Technologies
Your role in the team
- Data Analysis: You will conduct ad-hoc analyses for editorial, product teams, and third-party business, preparing the data for specific questions.
- Data Integration: You develop and maintain data integration pipelines as well as DWH structures for reliable and analytical data foundations.
- BigQuery: You process large datasets with BigQuery and further develop SQL models as well as existing modeling processes.
- Data Quality: You collaborate with the specialist departments to develop standardized data sets and clear key figures, ensuring high and reliable data quality.
- Infrastructure: You monitor our cloud and data infrastructure and document relevant processes and changes transparently.
- Machine Learning: You collaborate with the Data & AI team to develop statistical models and machine learning solutions that will enable automatic action recommendations in the future.
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Our expectations of you
Education
- Qualification: You have a completed degree in Mathematics, Computer Science, Physics, or a comparable field.
Qualifications
- Business understanding: You comprehend technical requirements, translate them into data-driven questions, and collaboratively develop suitable solutions with the business units.
- Working style: You think analytically, work in a structured and pragmatic manner in collaboration with various specialist departments, and have German language skills at a minimum of C1 level.
Experience
- Experience: You have several years of professional experience in the data environment, ideally within a data-driven digital product organization.
- Data Engineering: You have solid knowledge in data integration, DWH structures, and SQL, and ideally experience with BigQuery and process modeling.
- Modeling: You have experience in Machine Learning and statistical modeling and can analyze complex data in a targeted manner.
- Cloud: You have experience with cloud technologies, ideally Google Cloud.
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What we offer
- Health Retirement Provision
- Corporate fitness with EGYM Wellpass and Epassy as well as modern workplaces.
- Growing old without worries: Retirement planning and asset-building benefits.
- Family Development
- Lifelong learning through internal knowledge sharing, training sessions & personalized offerings.
- Family First! We support you, for example, through special leave or with subsidies for childcare.
- Catering Flexibility
- Whether it's delicious coffee or sparkling water - no one here is left high and dry.
- Mobile working, flexible working hours, 30 days of vacation.
- Event Discounts
- Bargain Alert: Discounted Germany Ticket, JobLunch, JobBike, Newspaper Subscription, and much more.
- Summer party, team events, company runs & more - there's always something going on with us.
- Responsibility Fun
- Economical, ecological, social - sustainable commitment is important to us!
- We have. But even more with you!
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
NOZ Digital GmbH
As a subsidiary of NOZ MEDIEN and mh:n MEDIA, NOZ Digital is responsible for the media companies' digital businesses, based in Osnabrück, Flensburg, Hamburg, and Schwerin. This includes numerous portals, online services, and mobile applications, as well as the digital products of the affiliated businesses.
Description
- Company Type
- Digital Agency
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
Business Data Scientist
- Location
- Osnabrück
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
