Description

Key Skills: BI, SQL, Data Bricks, ETL, Data Governance, Power BI

Roles and Responsibilities:

• Define and advance the CIM Data Governance roadmap, including priorities for data standardization, quality improvement, lineage, KPI harmonization, and reporting modernization.
• Lead end-to-end delivery for investment data assets: deep data profiling, financial data analysis, SQL/Python transformation logic, and validation/reconciliation.
• Design data models and standardized, governed data layers; create semantic models and reporting-ready datasets aligned to business definitions.
• Build prototypes and solutions using Fabric, Databricks, Denodo, and BI tools; package outputs for productionization and long-term maintainability.
• Establish and enforce data definitions, lineage, naming conventions, and quality rules; drive structured remediation and documentation practices.

Skills Required:

• 5-8 years of experience in Finance/Investment data, analytics engineering, BI, or data strategy.
• ETL development and delivery for analytics-ready datasets.
• Data Governance ownership: definitions, lineage, metadata standards, and quality rules.
• BI experience delivering reporting-ready outputs and KPI-aligned datasets.
• SQL expertise for transformations, validation, and reconciliation; experience building data assets in Data Bricks.

Good to Have:

• Power BI for semantic/reporting layer development and modernization.

Education: Relevant degree (or equivalent experience) in a quantitative/technical field

Key Skills

Education

Any Graduate