Description

Harnessing of internal business systems, customer and prospect, transactions and interactions data across the enterprise; inventory and strategy for turning our historical assets into data, with phasing and prioritization Creating full view of individuals, across products, channels, lines of business Enrichment with external data sources, including credit bureau, county tax & deed, wealth; partnerships with data brokers Cultivation and sourcing of new, unused data elements (e.g., data lake stage tables, vendor samples, derived files from other analytics resources, etc.) Implementation of standards, processes and best practices for data capture, integration, availability, quality, integrity and compliance Identification and maintenance of hierarchical waterfalls for informing data elements where multiple sources can inform at different levels of quality and coverage.

Automation of data flows, monitoring, quality control Participation in development of real time event driven data build-out & integration into intelligence universe

Qualifications

Work experience with SQL, SAS or similar functional tools, data modeling, statistical analysis, and relevant computing requirements Education and Certifications:

Required: Bachelor's Degree in Computer Science, Mathematics or Statistics, or Business degree with analytics area of specialization.

Preferred: Master's Degree in Computer Science, Mathematics or Statistics, or Business degree with analytics specialization.

Hours and Work Schedule Hours per Week: 40 Work Schedule: Monday-Friday

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