Data Analyst

LendingOne is a direct private lender for Real Estate professionals headquartered in Boca Raton, FL with additional offices in Charlotte, NC and Great Neck, NY. LendingOne made the Inc. 500 list of the fastest-growing private companies in America in 2019. Along with being rated one of the Top Workplaces in 2025 - for the fourth consecutive year - by Sun Sentinel!

We specialize in providing business-purpose mortgage loans for non-owner-occupied investment properties. We offer fix/flip bridge loans and long-term rental financing. Not a broker nor a bank, but a fully funded lending partner that can close consistently. LendingOne and its affiliates have extensive real estate experience and have provided over $6 Billion in real estate capital.

Position Overview:

We are looking for a process driven individual who enjoys identifying data trends within a robust environment to improve operational efficiency. Our data analyst will report to our Chief Financial Officer and will assist in retrieving and gathering data, organizing it and using it to reach meaningful conclusions. If you are looking for a position where you can use your technical skills to ensure the quality and accuracy of business processes, then this is the position for you.

This is a full-time employment opportunity working in our Headquarters office in Boca Raton, FL.

Qualifications:

The following qualifications and responsibilities serve as a position overview and are not exhaustive. Employees are expected to be team players and may take on additional tasks as needed.

• Bachelor’s degree in Accounting, Finance or related field
• 1-3 years of experience in a data analytics or related field
• Advanced Excel skills
• Solid foundation of database design and experience writing SQL queries for reporting
• Experience with one or more of the leading Business Intelligence tools, with a preference for direct experience with Tableau
• Intermediate understanding of Python and its data capabilities (Pandas, NumPy, scikit-learn, XGBoost, TensorFlow, and PyTorch)
• Hands-on experience with Jupyter Notebook or JupyterLab for data analysis and documentation
• Positive attitude, high energy, and excellent communication skills are essential. Must be organized, self-motivated, take initiative, and be solution-oriented.
• Excellent attention to detail coupled with high demands

Responsibilities:

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Manage users and user roles
• Commissioning and decommissioning of data sets
• Assess tests and implement new or upgraded software and assist with strategic decisions on new systems
• Train end-users on new reports and dashboards

Why LendingOne:

• Diverse and inclusive workplace, with a supportive and friendly team
• Company awards, recognitions, and community involvement opportunities
• Comprehensive benefits package: medical, dental, vision, short and long-term disability, flexible spending accounts, generous 401(k) match, and more!
• 10 Company-paid holidays, and Paid-time Off
• Work-From-Home Fridays!
• Regular company-sponsored lunches, team-building and social events, and company swag to promote engagement and connection
• We believe in promoting from within
• Dedicated Learning & Development Team: comprehensive technical training, career paths, and education reimbursement opportunities!

LendingOne is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, or marital status.