Data Analyst CRA

Minimum 10+years of experience

CRA Application consists of:

CRA OPA (Oracle Policy Automation) engine, which is a rule-based system without any data repository. It consumes data from various CDD systems and assigns a rating to clients from A-E based on predefined business rules

CRA MM (Model Management): The CRA Model Management process is to validate the ratings are correct as per the OPA engine ratings. CRA model management is Performed in SAS by building a statistical model which simulates OPA engine calculations in SAS. It’s performed to see to check any discrepancies in ratings or data quality.

CRA T3: Aggregation of Transaction data

Activities to be performed for 200+ data attributes belong to CRA

1, Data Design Review– to check standards/ data ownership/ data sourcing fill gaps if any. E.g. Golden Source gaps were identified in Q4 2024 during CRA MM handover.

2. Data Lineage Discovery and Documentation in enterprise metadata management tool [both upstream and downstream]. Include cleaning up the lineage for systems if no requirement to consume CRA data.

3. DQ Controls Assessment – with GPOS/System Owners

4. Review existing M7 issues and plan resolution

5. Documentation of Impact Assessment for all consumers of CRA data

6. Data Handshakes review and completion.