Data Analyst

Role:
Data Analyst

Location:
Zurich, Switzerland

Type of Hiring:
Permanent

Language:
English Advanced. German Optional.

Onsite/Offsite:
Hybrid Remote. 3 days onsite, 2 days remote.

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