Data Analyst

eCapital • Fort Lauderdale, FL

3d • $70,000

About The Position

The Data Analyst supports operational and analytical needs by extracting, transforming, and analyzing data from internal systems, third-party sources, and financial reports. This role works closely with the Data Intelligence team and cross-functional stakeholders to deliver actionable insights, maintain data reporting frameworks, and contribute to the development and enhancement of internal software applications.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• $70,000 Annually
• Annual Bonus
• PTO
• Health, Dental, and Life Benefits
• 401K Matching
• Abundant professional development opportunities at a growing and thriving alternative Finance company!

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level