FP&A Business Intelligence Intern – Summer 2026

Madison Energy Infrastructure • Tysons, VA

2d • $20 - $40 • Hybrid

About The Position

Madison Energy Infrastructure (“MEI”) believes in the power of clean energy infrastructure and has quickly emerged as a preeminent developer, investor, asset owner, and operator of distributed generation. This role represents a critical next step in MEI’s evolution toward offering direct, end-to-end services to Fortune 500 corporates, public entities, nonprofits, and other private customers alike.
As the company scales, data and analytics are increasingly central to how we monitor financial performance, make investment decisions, and communicate insights across the business.
This role sits at the intersection of data analytics, business intelligence, and finance. As the Summer 2026 FP&A Business Intelligence Intern you will work closely with the Finance and Digital teams to help structure data in Snowflake, develop analytical tools, and experiment with emerging AI-enabled workflows that improve how we analyze and visualize portfolio performance.
This is an opportunity to gain hands-on experience applying modern data tools, SQL, Python, and AI-assisted development to real financial and operational datasets in a fast-growing infrastructure platform.

Requirements

• Currently pursuing a graduate degree preferred (e.g., data science, computer science, engineering, economics, finance, or a related field); strong undergraduate candidates will also be considered
• Comfortable working with data using SQL and Python, with interest in building analytical workflows and data models
• Strong experience with Excel-based financial analysis and a keen interest in how operational data connects to financial performance; prior coursework or experience in finance, accounting, or financial modeling is a plus
• Curious about applying AI tools (e.g., Claude Code or other LLM-powered tools) to automate analysis and improve business intelligence workflows
• Detail-oriented, intellectually curious, and excited to work with real-world financial and operational data (structured and unstructured) in a collaborative environment

Responsibilities

• Assist with building data models and analytics tables in Snowflake using SQL to organize operational and financial data into structured datasets for analysis and reporting
• Support the creation of business intelligence dashboards and reporting tools that provide visibility into portfolio performance, cash flow, and key operating metrics
• Use Python and SQL to help automate data ingestion, validation, and reporting workflows, improving data quality and reducing manual processes
• Experiment with AI tools (e.g., Claude Code and other LLM-based tools) to prototype internal analytics workflows, automate analysis, and identify opportunities to improve business intelligence capabilities
• Work with FP&A and operations teams to translate operational data into financial insights and support Excel-based forecasting, reporting, and project finance analysis

What This Job Offers

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