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Senior Data Analyst

McCabe & Barton Londres, Royaume-Uni
Mise en ligne il y a 4 jours Hybride CDI Competitive
J
Mise en ligne par
Justin Frankum
Recruiter
Data Analyst opportunity to join a high profile programme of work enhancing a business wide data platform at a leading financial institution. Responsibilities will include data analysis, data profiling, data mapping, data model design and maintenance, business dictionary creation

Data Analyst opportunity to work on a high profile programme of work at a leading financial services organisation.

You will be responsible for the following:

  • Data Profiling, examination and analysis of data within data platforms from data production to data consumption
  • Identify data patterns, consistency, data quality issues, risks, overall data trends
  • Analyse and document critical data insights
  • Attribute level analysis based on source files received from data manufacturers, suppliers
  • Analyse data feeds / data supply chain to produce definitions and associated business rules (at attribute level)
  • Creation of business and data quality rules based on observations from profiling analysis
  • Ability to produce and deliver mapping documentation to development teams. e.g.:
    • Table/attribute names and metadata from Source Files and Staging tables analysis
    • Identify and map attributes to target data platforms / tables / attributes
    • Reconciliation of tables and columns between source and physical database and Identify discrepancies
    • Identification of potential new attributes to be added to physical database
  • Data lifecycle change management
    • Manage change process for all attribute definitions, business rules and mapping documents created for the data feeds with the appropriate business stakeholders
    • Review and obtain approval for all mapping documents, business rules and data quality rules with appropriate product owner and development manager
  • Ability to undertake full metadata and lineage analysis of data journeys through an organisation

To be successful in this role you must have a strong data anlysis background with technology experience in SQL, Informatica (IDQ), Collibra, or similar.

Ideally you should also have previous experience in the financial services sector

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