VP/Director, Data Analysis Lead
Tasks
- Analyze data models schemas interfaces APIs and data feeds
- Create canonical data mappings and semantic definitions
- Define business rules derivation logic and data quality requirements
- Define data analysis standards methodologies templates and governance
- Define data lineage end to end across systems platforms and environments
- Develop data sourcing strategies for structured semi structured and unstructured data
- Document transformation logic and reconciliation requirements
- Drive metadata driven analysis using data governance tools
- Identify source of record and golden source
- Lead and mentor data analyst teams with delivery metrics and best practices
- Lead enterprise data analysis
- Maintain source to target mapping specifications
- Onboard business risk finance and compliance data into data lakehouse
- Perform data profiling and data discovery
- Translate business requirements into engineering data requirements
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Application Programming | Application Programming Interfaces | Banking Domain | Banking Domain Knowledge | CDC | Collibra | Data Catalog | Data Governance | Data Lineage | Data Mapping | Data Modeling | Data Quality | Data Transformation | Data Validation | Data discovery | Data integration | Data profiling | Databricks | Delta Lake | Dimensional Modeling | Domain Knowledge | Event Driven | Event-driven architecture | Metadata repository | Programming interfaces | Python | Reconciliation | Relational Data | Relational Data Modeling | SQL | Source to Target | Source-to-Target Mapping | Streaming | Target Mapping
Education
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