* Role:
Data Analyst
- Location:
Zurich, Switzerland (Hybrid: 3 days onsite, 2 days remote)
- Type:
Permanent
- Start Date:
Immediate
- Language:
English (Advanced);
German Optional.
- Years of experience:
Min. 5-8+ Years
Open to Swiss and EU citizens
Job Description:
* Impact assessment for application re-wiring: as-is vs to be data entities analysis and mapping
* Resolving and troubleshooting data related issues and queries
* Responsible for the collection, extraction and analysis of data to develop business intelligence to support day-to day and strategic business decisions.
* Identify business problems when working with stakeholders, formulate problem statements and find ways to apply analytics to provide insight into solving and addressing the identified problem
* Understanding data stored in legacy data warehousing systems and support migration to a central data lake
* Conduct regular exchanges with stakeholders in need of data and in situations where data can be used to identify and solve business problems
Experience
* Understanding and translating business needs into data models supporting long-term solutions
* Evaluating already existing data models and physical databases for variances and discrepancies
* Partner with business stakeholders to improve data quality, resolve issues and enhance systems
* Working experience with distributed on-prem Data Lakes as well as RDBMS (Oracle/SAP)
* Testing newly sourced data sets against schemas
* Experience with data visualisation tools (e.g., Tableau, Power BI)
* Hands-on experience with visual Data Transformation/Modeling tools (Alteryx, Dataiku, Tableau prep, Hackolade, Erwin)
Skills
* Wide range of technical skills to perform data analysis end-to-end, practical understanding of statistics, data visualization and presentation skills
* Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)
* Knowledge of Banking data products / financial sector
* Solid knowledge around financial data classification / sensitivity
* Strong understanding of Data modeling standards, tools and processes
* Strong understanding of data modeling tools (cleansing, Meta Data etc.)
* Excellent business and IT stakeholder management skills
* Good knowledge of German is beneficial, excellent command of English is essential
* Higher education preferred