Data Analyst

TEKISHUB CONSULTING SERVICES PTE. LTD.
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.
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.
JOB SUMMARY
Data Analyst

TEKISHUB CONSULTING SERVICES PTE. LTD.
Singapore
9 days ago
N/A
Full-time
Data Analyst