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Overview
Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Create and document routine processes around data (mining, dictionary, etc.).
Responsibilities
Completes the gathering and cleaning processes for data from various sources, ensuring data quality and integrity
Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions
Uses statistical methods and techniques to help identify patterns, trends, correlations and anomalies of bank data
Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams
Lead the strategic design and maintenance of intelligence systems, reporting platforms, and other enhancements required to gather and analyze bank and portfolio data
Collaborate with other data engineers and IT professionals to optimize data collection, storage, and retrieval processes
Helps identify KPIs and develops metrics to track and measure bank performance
Maintains current knowledge of internal risk controls and loss prevention, including reporting of suspicious or unusual customer activity per Bank policy, and ensures adherence by the respective department personnel
Maintains current knowledge and complies with all federal and state laws and regulations and all established Bank policies and procedures, including internal audit controls related to department operations, and ensures adherence by the respective department personnel
Maintains current knowledge of all rules, regulations, and laws as they apply to BSA/OFAC/USA Patriot Act/CIP/AML, and ensures adherence by the respective department personnel
Qualifications
Bachelor's degree from an accredited college or university in computer science, statistics, or data management
Minimum of 5 years of experience in an analytical role including querying relational databases and advanced reporting methodologies
Able to articulate complex concepts while tailoring the message to different audiences including senior leadership, technical teams, and member support teams
Strong problem solving and ability to resolve complex issues with minimal direction
Ability to leverage key performance metrics and data to provide insights and make strategic business recommendations
Proficiency with SQL, Python and visual reporting tools (such as MS Power BI or Tableau)
Some Knowledge of financial institution regulations including Reg Z, Reg. B, Truth in Lending, FCRA, FACTA and MLA
Excellent verbal and written communication skills; able to express ideas concisely and logically
Ability to meet deadlines, work in a fast-paced environment, and perform a variety of tasks with numerous interruptions
Advanced knowledge of Microsoft Office Suite
Ability to sit in front of a computer screen for long periods of time, which may cause visual strain
Bilingual in English and Spanish is desired
Requirements
Microsoft SQL Server, Microsoft SQL, SQL Queries, Database Object, Data Analysis, Microsoft Power BI, Statistical Analysis, Python
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Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Software Development
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