Should have in depth experience in Data Warehousing and ETL development.
Collaborate with business and technology teams to bridge the gap between functional requirements and technical execution.
Collaboration with stakeholders, including data engineers and IT teams, ensures robust data solutions that meet both current and future business needs.
Partner with various internal business and technical stakeholders to identify use cases, gather requirements, and deliver business intelligence solutions.
Conduct research on data from key business systems, liaise with IT to ingest data using Dataiku into Snowflake, assess data quality, and architect data models and pipelines.
Develop dashboards to facilitate ongoing delivery of information and insights to internal business stakeholders.
Serve as a 'Business Coach' to drive business teams towards self-service. Prioritize use cases by developing matrices and explaining the rationale.
Demonstrate the ability to work with senior stakeholders from businesses to understand their requirements and create business requirement documents and other functional deliverables
Optimize data models for performance and scalability, supporting real-time analytics and reporting.
Designing solutions to integrate data from various sources within the organization.
Optimizing data systems for improved performance, ensuring that data can be accessed and processed efficiently.
Understanding organizational data strategy and aligning future builds within the scope of data strategy