Data Analyst

125 - 135 PLN/ godz.B2B
MidFull-time·B2B
#431247·Dodano 21 dni temu·5
Źródło: nofluffjobs.com
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Tech Stack / Keywords

SQL

Wymagania

  • Minimum 5 years of experience in data analysis, technical analysis or system analysis
  • Strong experience with data structures, data flows, source systems and data dependencies
  • Good knowledge of SQL, relational databases and data platforms such as Data Warehouse, Data Mart or Data Lake
  • Experience with REST APIs, system integrations and API-based data sourcing
  • Good understanding of data ownership, data governance and data lineage
  • Ability to document current-state processes, business rules and technical dependencies
  • Understanding of RPA / robotic automation solutions used for data extraction
  • Strong stakeholder management and communication skills
  • Professional working proficiency in English

Nice to have:

  • Previous experience within banking, financial services or another regulated environment
  • Experience with workflow or case management platforms such as Pega
  • Understanding of robotic process automation and data extraction solutions
  • Experience with Postman and Swagger/OpenAPI

Obowiązki

  • Analyse the structure of prioritised data sets and individual data points
  • Document the current data sourcing process, including source systems, extraction methods and applied business rules
  • Analyse differences in data availability and processing across countries
  • Identify the actual owners of data and clarify data ownership responsibilities
  • Map existing data flows, dependencies and current-state processes
  • Evaluate potential future data sourcing options, including: Existing API integrations, Extension or development of new APIs, Data marts and data lakes, Existing or newly developed robotic solutions
  • Identify technical and organisational dependencies for each sourcing option
  • Provide input enabling high-level cost estimation of proposed solutions
  • Coordinate analysis and input across multiple business and technology teams
  • Prepare clear documentation covering data structure, current state, ownership and recommended future sourcing options

Benefity

  • Private medical care
  • Co-financing for the sports card
  • Constant support of dedicated consultant
  • Employee referral program
  • Sport subscription
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