Financial Data Analyst

National Rural Utilities Cooperative Finance Corporations - Dulles, VA

Full-time - Entry Level

Hybrid - Dulles, VA

Credit Intermediation and Related Activities

About the position

Join a member-driven leader in a fast-paced, challenging and collaborative environment with the shared mission of supporting America's network of rural electric cooperatives. Since its formation in 1969, National Rural Utilities Cooperative Finance Corporation, or CFC, located in Dulles, Virginia, has provided capital and industry-leading financial products to almost 1,000 not-for-profit, consumer-controlled utility systems across the United States. Our exceptional team delivers the 'CFC Difference' that encompasses our values of service, integrity and excellence in all our interactions. CFC has a need for a Financial Data Analyst to join the Utility Pricing, Policy, & Analytics team. This is a hybrid position requiring onsite work at our headquarters office in Sterling, VA, as well as optional remote workdays. The Financial Data Analyst will provide financial and utility data analytic services to support electric utility rate-making, policy, and regulatory advisory consulting services for CFC member systems.

Responsibilities

• Provide Utility Pricing, Policy & Analytics team members financial and utility data analytics, data science and artificial intelligence/machine learning support and services to support cost of service studies, billing analysis and in developing specialty rates to include residential demand, EV, time-of-use, interruptible, and demand side management for CFC members.
• Responsible for calculating metrics used in monthly and ad-hoc reporting.
• Serve as a resource in translating complex AMI electric meter data into key strategy insights and valuable actions using data analytics, data science, and artificial intelligence/machine learning techniques and programming.
• Process, cleanse, and verify the integrity of large data sets used for analytics.
• Perform data exploration and data mining to support business cases and guide strategic initiatives.
• Discover business narratives from the data and create business intelligence dashboards, visualizations, and/or other analytics reports describing narratives and offer actionable recommendations well-supported by analytical models and data that address business needs or that resolve impediments.
• Enhance data collection procedures to include information that is relevant for energy analytic systems.
• Create automated analytics systems and managing its performance.

Requirements

• Bachelor's degree in Economics, Computer Science, Data Analytics, Statistics, Mathematics or related degree is required.
• 3 years of financial or utility data analytics, data science, or machine learning experience is required.
• Experience with electric utilities preferred.
• Data-oriented with the ability to think quantitatively.
• Advanced Microsoft Excel skills.
• Advanced BI software skills e.g., Tableau, PowerBI, Alteryx.
• Excellent data mining skills using programming languages like Python, R and SQL.
• Understanding of basic statistical and predictive modeling and analysis and experiment design.
• Understanding of emerging technology, including artificial intelligence, machine learning, and neural networks.
• Ability to identify unique opportunities to collect new data and strategize new uses for data.
• Strong written and verbal communication skills.
• Knowledge of electric utility industry.
• Ability to use standard business equipment.

Benefits

• Hybrid work options
• Annual incentive opportunities
• Employer-paid pension plan
• 401(k)
• Medical, dental and vision insurance
• Generous leave policy
• Onsite gym