Data Analyst
2 days ago
**Aufgaben**:
**Business Engagement
- Align all stakeholders to ensure that business requirements are adequately gathered, defined, documented and communicated
- Ensure that all requirements are considered within regional context
- Ensure that requirements are reusable and can fit regional roll-outs to try and limit the requirements for market adaptation
**ITM Engagement
- Investigation and understanding sales and marketing data landscape
- Ensure alignment of the regional and market level IT digital strategy
- Maximize synergies across the region and Mercedes-Benz AG
- Maintain constructive engagement with peers across markets, regional teams and headquarter
**Service Delivery
- Develop, implement and manage effective operational processes with focus to the user group
- Support Product Owner during the testing and implementation phase with markets
- Adhere to internal processes and procedures, such as the demand and development process
- Handing over solutions / products able to support the user group after implementation has been completed
- Strong analysis and troubleshooting skills (i.e. bug fixing and L3 support)
**Solution Delivery
- Ensure fulfilment of market
- as well as regional business requirements (quality, time-line and budget) by translating the user stories into deliverable tasks
- Design, build and implement products e.g. Power BI reports
- Ensure data quality and accuracy for products / solutions delivered
- Conduct unit testing and approval processes
- Develop standardized KPI’s that can be executed in various products / solutions
**Qualifikationen**:
- Completed business and / or technical / engineering studies with a focus on Business Informatics, Data Science, Business Administration or a comparable qualification
- 3+ years’ relevant experience, minimum 3 years of work experience Experience in Python and R for data analytics (expert). Other languages would be an advantage
- Microsoft Azure/Databricks (working understanding)
- Microsoft PowerBI (expert)
- Data modelling concepts - i.e. entity-relationship models
- International Project Management
- Data Management
- SQL skills
- Agile Collaboration Skills
- Strong IT Vendor Management
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