Data Analyst

W3global Eu Inc
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Experience level
Senior

Job location

Tech stack

Data analysis
Databases
Data Transformation
Data Visualization
Data Warehousing
Relational Databases
Oracle Applications
Power BI
SAP Applications
SQL Databases
Tableau
Data Lake
Dataiku
Alteryx

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

Requirements

Do you have experience in Tableau?, * 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), * 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

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