Data Analyst at eCapital Corp. in Fort Lauderdale, FL

Summary: eCapital Corp. is a leading provider of innovative funding solutions for small to medium sized businesses. The Data Analyst supports operational and analytical needs by extracting, transforming, and analyzing data, while collaborating with the Data Intelligence team to deliver actionable insights and enhance internal software applications. Responsibilities: - Develop, maintain, and optimize SQL queries, stored procedures, and data pipelines to support portfolio analysis, borrowing base calculations, and operational reporting - Build and maintain dashboards, reports, and analytical tools using Power BI, Excel, and other visualization platforms to support decision-making across business units - Utilize AI and app-gen tools to build reports in internal systems, including full stack codebases - Extract and analyze data from internal systems external to identify trends, risks, and opportunities - Support the development and testing of internal software applications by validating data integrity, identifying bugs, and providing functional feedback to the development team - Automate manual data workflows using Python, SQL, VBA, or AI-assisted tooling to improve efficiency and reduce processing time - Collaborate with business stakeholders to gather requirements, define data needs, and translate operational questions into structured analytical outputs - Leverage AI tools and large language models to enhance analytical workflows, accelerate data processing, and explore new approaches to recurring business problems - Document data sources, transformation logic, and reporting methodologies to ensure institutional knowledge is maintained and processes are repeatable - Other duties as assigned by direct, department, or division leadership Required Qualifications: - Bachelor's degree in Data Science, Computer Science, Analytics, Finance, Accounting, or a related field - 1–3 years of experience in a data, analytics, or technical role - Proficiency in SQL, including the ability to write complex queries and stored procedures - Strong skills in Excel, including VBA, advanced formulas, pivot tables, and data modeling - Working knowledge of Python for data analysis, automation, or scripting - Familiarity with leveraging agentic AI and large language models (LLMs) to enhance analytical work and processes - Strong attention to detail with the ability to validate data, identify anomalies, and ensure accuracy across reporting outputs - Excellent communication skills with the ability to build reports and dashboards to present findings clearly to both technical and non-technical audiences - Ability to manage multiple priorities and deliver quality work in a fast-paced environment - Familiarity with data pipeline architecture and ETL processes Preferred Qualifications: - Experience with AWS services (S3, RDS, or similar) in a data context is a plus - Experience in finance, lending, or asset-based lending industries is a plus Required Skills: SQL, Stored procedures, Excel, VBA, Python, Agentic AI, Large language models, Data pipeline architecture, ETL processes, AWS services, Finance industry experience, Lending industry experience Benefits: Annual Bonus, PTO, Health, Dental, and Life Benefits, 401K Matching, Abundant professional development opportunities at a growing and thriving alternative Finance company!