Support Asset-Based Finance group with data management for residential and consumer loans.
Design and develop automated end-to-end data pipelines.
Maintain Snowflake databases; use SQL to transform data and enable reporting.
Synthesize data from multiple sources to deliver leadership-focused insights.
Liaise between business stakeholders and engineering to capture requirements and plans.

🎯 Requirements

Minimum of a Bachelor's degree.
3-5 years in Data Analytics within Financial Services with residential/consumer data.
Advanced MS Office, SQL, and Python; other languages a plus.
Strong initiative, organization, attention to detail, and quick learner.
Track record of accuracy and meeting deadlines in fast-paced environments.
Excellent written, verbal, and interpersonal communication skills.
Team-oriented with integrity and professionalism.
Experience in process improvement and automation.

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