Mortgage Warehouse Lending Data Analyst- Melville, NY

BankUnited•Melville, NY

About The Position

The Mortgage Warehouse Lending Data Analyst supports the Warehouse Lending Group through data analytics, reporting automation, dashboard development and maintenance, and process optimization. The role focuses on creating scalable reporting solutions, automating manual processes, improving data accessibility, and building analytical tools for portfolio monitoring, decision-making, and business performance. The analyst works with Warehouse Lending, Credit Risk, the Chief Investment Office, Credit Review, Technology, and other stakeholders to interpret trends, improve efficiency, and support strategic initiatives using data, automation, and emerging technologies, including artificial intelligence. The position offers a career path into broader mortgage warehouse lending, financial analysis, counterparty risk management, and underwriting. Development opportunities include exposure to warehouse lending operations and portfolio management, participation in customer diligence meetings and management discussions, and the chance to develop knowledge of financial statement analysis and counterparty risk assessment.

Requirements

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Statistics, Economics, Finance, or a related field; an equivalent combination of education and relevant experience will be considered.
Three years of experience extracting, transforming, validating, and analyzing data from multiple internal and external sources.
Three years of experience developing automated reports, dashboards, analytical models, and business intelligence solutions.
Three years of experience identifying and implementing opportunities to streamline workflows and improve operational efficiency through automation and technology.
Strong analytical, quantitative, and problem-solving skills.
Ability to translate complex data into actionable business insights and recommendations.
Strong verbal and written communication skills, including preparing reports, presentations, and executive-level summaries.
Ability to manage multiple priorities and work effectively in a fast-paced environment.
Curiosity and willingness to learn new technologies, tools, and business processes.
Demonstrated interest in data analytics, automation, artificial intelligence, and process improvement.
Ability to work collaboratively across business, technology, and operational teams.
Self-motivation, a continuous improvement mindset, and strong attention to detail.
Python skills, including Pandas, NumPy, data visualization, automation, and data analysis libraries.
SQL skills.
Experience with Power BI, Tableau, or similar business intelligence and data visualization tools.
Advanced Microsoft Excel skills, including Power Query, data modeling, and complex data analysis.
Experience with Power Automate, VBA, or other process automation tools.

Nice To Haves

Familiarity with artificial intelligence tools, large language models (LLMs), intelligent agents, or AI-enabled workflow solutions.
Familiarity with AWS, Power Apps, SharePoint, or other data management and workflow platforms.
Candidates residing in locations within BankUnited's footprint may be given preference.

Responsibilities

Design, develop, automate, and maintain recurring reports, dashboards, and management information packages.
Extract, validate, transform, and analyze data from multiple internal and external sources to support business decisions.
Develop analytical models, reporting tools, and performance metrics to improve operational efficiency and reduce manual processes.
Create dashboards and visualizations using Power BI, Tableau, or similar business intelligence platforms.
Identify opportunities to streamline workflows through automation, advanced analytics, artificial intelligence, and other emerging technologies.
Develop management reports, portfolio analytics, and presentation materials for senior leadership and committee meetings, including analysis of key insights and trends.
Partner with business stakeholders to understand reporting needs and deliver scalable data and analytics solutions.
Assist in developing AI-powered tools, intelligent agents, automated workflows, and other technology solutions to enhance reporting and decision-making.
Document data sources, reporting processes, methodologies, and procedures to promote consistency and data integrity.
Monitor industry trends and emerging technologies and recommend innovative solutions to improve business processes and analytical capabilities.
Adhere to applicable federal and state laws, regulations, guidance, and Bank policies and procedures, and complete required training.
Identify and report suspicious activity.