The role of the business analyst is to facilitate use of data in the CCIB data lake, through :
Playing role of business product owner in technology scrum teams to drive projects that bring new data into the data lake or take data out of the data lake to support business requests.
Understanding and documenting the data attributes that are being sourced; maintaining a catalogue of the data lake's contents.
Determining how data attributes should be stored and managed; classifying and protecting personal and confidential data attributes.
Matching data attributes with data requirements; explaining how data could be utilized and interpreted.
Identifying and tracking consumers of CCIB data lake; assessing and managing impacts of changes.
Work closely with the respective CIO and FSTS delivery teams that are responsible for the support of the data lake.
Data Modelling for CCIB Data Fabric
Assist data modelers in mapping of source data attributes to CCIB conceptual model.
Data Sourcing in CCIB Lake
Maintenance of Metadata and User Inventory
CCIB Platform Requirements
Work with delivery teams to ensure CCIB platform requirements are documented, prioritized and tracked to closure
Provide support to downstream business users in understanding the CCIB data model
KNOWLEDGE, SKILLS AND EXPERIENCE :
8 to 10 years' experience in Banking Industry and conversant with how data flows between processes or systems, especially in Financial Markets.
Understand Data warehousing concepts - Data Standards, Data Models, and Data Mapping.
Knowledge in the definition and relationship of data attributes in Financial Markets.
Practical experience in using data tools (Query Tools like SQL or Visualization tools like Tableau) to analyse or visualize data.
Experience in using metadata tools to manage definition and relationship of data attributes centrally.
Familiarity with Hadoop ecosystem
Knowledge on statistical programming tools - R, Python is an added advantage
Analytical, Restorative and Ideation Skills and a Quick learner.
Experience on working in Data Projects.