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 to deliver actionable insights and maintain data reporting frameworks. 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, Data pipelines, Power BI, Excel, VBA, Python, Agentic AI, Large language models, Data validation, Data pipeline architecture, ETL processes Benefits: Annual Bonus, PTO, Health, Dental, and Life Benefits, 401K Matching, Abundant professional development opportunities at a growing and thriving alternative Finance company!