Technical Business Analyst in Data Area/ Data Management

 
Mid-level
🇵🇱 Poland
Business Analyst
Data science & Analytics

We are looking for you, if you:

  • know SQL and Oracle Database,

  • have basic knowledge of data models in Data Warehouse or other analytical/reporting systems,

  • know how to prepare test scenarios in the area of Data Warehouse or reporting,

  • have experience in data warehouse modeling,

  • know how to translate business requirements to technical solutions,

  • are a team player,

  • have ability to quickly adopt to change and still complete your tasks,

  • have excellent communication skills, writing and verbal in English.

You will get extra points for:

  • experience in SAS,

  • knowledge in ETL Datastage,

  • good analytical and debugging skills in oracle and IBM Datastage,

  • nowledge about credit risk modeling and how bank works,

  • VBA,

  • Azure DevOps.

Your responsibilities:

  • data modelling and data flow design,

  • preparation and execution of data model and data flow tests,

  • documentation – technical and for business users,

  • close cooperation with stakeholders,

  • monitoring if all requirements of all relevant stakeholders are acknowledged in the analyses and the different solution designs,

  • support the Tribe and squad to take decisions by presenting the different (functional and solution) design alternatives and their impact in a clear way,

  • translating solution design into training material- and work instructions for employees.

  • debugging existing flows in oracle and IBM Datastage,

Information about the squad:
You will be part of Data and Reporting area within Data department which is part of COOR. This area is part of Risk Hub - which aim to share future of risk modelling.
You will play role of Technical business analyst in squad of 6 people in External Data Platform (EDP) which works on data ingestion from external sources like Bloomberg, CDP, Asset Impact etc. into ING server and process those files via datastage jobs to data lake. Therefore you will also work closely with downstream teams and stakeholders for require data access.

The role naming convention in Global ING job architecture will be "Data management expert II"

 

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