About UsAt Mercedes-Benz, we don't just build cars; we create great software.
We develop tomorrow's mobility together in our product lines, pushing the digitization of the Mercedes-Benz Group AG forward.
As a tech company, we are agile, innovative, and always keep our finger on the pulse of change.
This is why inner source, FOSS, secure code, DevOps, infrastructure as code (IaC), data analytics, artificial intelligence, and many more are core components of our daily work.
IT is our passion, and we move towards a bright future, sometimes quickly, sometimes creatively – but always together.
We believe in integrity, trust, and transparency as part of our flexible work culture and a strong emphasis on teamwork and the learning process, making mistakes and achieving continuous progress together in all products we create and develop within the Mercedes-Benz Group.
Our workplace is anywhere with a fast connection, either remotely at home, at your favorite café, or at our integrated office at Wisma Mercedes-Benz that comes with an LRT station at its doorstep, our al fresco cafeteria, ample greenspaces, and free parking.
Job ObjectivesRequirements analysis and customer consulting for analytics topics.
Identification, extraction, transformation, and loading of data.
Storing data in relational, multidimensional, and NoSQL databases or data lakes both on-premises and in the cloud.
Modelling of data according to common methods for further processing.
Testing and quality assurance of data.
Use of source control and CI/CD processes.
Analyse linking of data using SQL, statistics, and data science to generate new insights.
Visualize data taking into account best practices such as information design with popular reporting and dashboarding systems.
Provide data through file sharing or REST APIs.
Creation of data architectures based on public cloud services.
Collaboration in agile projects.
QualificationsExperienceExperience with Agile methodologies.
Experience with Enterprise technologies.
Experience with Product Oriented Teams.
Programming or Data Architecture related certification.
Specific Knowledge/SkillExcellent communication skills.
Good customer service orientation.
Analytical, passionate and drives technology and product quality.
Result-oriented thinking and action.
Knowledge and Skills by LevelLevel 3Knows the basics of data modeling, e.g.
Kimball, Immon, DataVault, DataMesh.
Knows the basics of data transformation using SQL, popular programming languages, and ETL tools.
Knows the basics of SCRUM.
Level 4Has in-depth experience in data modeling.
Optimizes the performance of database queries.
Automates CI/CD pipelines.
Advises clients on the use of analytics for data-driven decisions.
Models analytics architectures.
Leads projects according to agile methods.
Shares best practices.
Independently educates oneself further.
Level 5Has expertise in data modeling, data architectures for complex analytics architectures and requirements analysis.
Independently educates oneself further and derives necessary changes for the team and the project.
Has expert knowledge in the implementation and definition of reports and dashboards.
Technical SkillsSQL/noSQL, Python or R, Microsoft Power BI, Cloud Computing, and Data Architectures.#J-18808-Ljbffr