Location: Pensacola, FL
Work arrangement: Hybrid
Work type: Full-time
Compensation: $96.9K/yr – $124.2K/yr
Location: Hybrid – Pensacola, FL
This role currently does not provide sponsorship. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
Responsibilities include delivering strategic insights into lending product performance, measuring business impact, preparing professional presentations for senior management, and leading business optimization efforts. This role requires strong analytical skills, proficiency in data querying and visualization tools, and communicating complex insights effectively.
Responsibilities
Collect, aggregate, and analyze data from multiple sources, including structured and unstructured data sets, to drive insights into credit risk
Identify, analyze, and interpret trends or patterns and prepare ongoing reports and data visualizations to support business decisions
Lead projects to understand requirements and propose key analytical solutions to drive effective decision-making and influence business objectives
Produce actionable reports that demonstrate key performance indicators, identify areas of improvement for current operations, and show root cause analysis of problems
Develop, maintain, and manage advanced reporting, dashboards, and BI solutions
Collaborate with multiple business units and senior management to accomplish business unit objectives
Effectively communicate data outcomes to business stakeholders and leadership
Mentor and guide less experienced analysts
Perform other duties as assigned
Qualifications
4+ years of experience in data analysis and reporting
Complete knowledge and understanding of business area/specialization
Significant experience that demonstrates the ability to research, compile, and document data, business processes, and workflow
Advanced knowledge of standard ETL tools and techniques
Advanced knowledge of data warehousing, data cleaning, and other analytical techniques required for data usage
Advanced skill in complex data manipulation across multiple tables
Effective in using statistical methods, mathematical techniques, forecasting, cost-benefit analysis
Skill communicating data analysis and visualizations to nontechnical and senior audiences
Intermediate skill in utilizing work products to tell a story through appropriate balance of visualizations, design aesthetics, and words
Advanced SQL, R, Python, SAS, or related analytical tool skills
Advanced Tableau, Power BI, or related data visualization tool skills
Advanced Microsoft Excel and PowerPoint skills
Bachelor's degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or in a related field
Desired Qualifications
Advanced degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering
Additional Information
Hours: Monday through Friday, 8:00AM to 4:30PM
Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law.
Compensation: $96.9K/yr – $124.2K/yr