Data Analyst at NobleReach in Tysons Corner, VA

Summary: NobleReach Foundation is a civic leadership platform committed to rekindling a spirit of national service across all career stages. The Data Analyst will build dashboards, analytics, and data infrastructure for the Innovation team, focusing on translating federally-funded research into startups and improving the systems that support their work. Responsibilities: - Build and maintain dashboards that track venture progress, readiness level progression, and portfolio performance across the S2V program; produce reports and analytics for internal leadership and customers - Maintain taxonomies for technology sectors, venture stages, and intervention types to enable consistent reporting and trend identification across the portfolio - Maintain and improve the team’s existing AI-powered assessment tools by fixing bugs, building features, and improving data quality primarily through AI-assisted coding - Build lightweight internal utilities and integrations to reduce manual data handling and improve data integrity - Track KPIs for the team, support recurring reporting cadences for quarterly reviews and retrospectives - Identify patterns in portfolio data such as which interventions or training approaches correlate with venture success and surface insights to inform team decision-making Required Qualifications: - Bachelor's degree in data analytics, computer science, information systems, business analytics, or a related field - Proficiency with analytical tools and techniques for working with datasets (Excel, Python, R, SQL, or similar) - Strong written and visual communication skills with the ability to turn data into clear narratives for non-technical audiences - Experience or familiarity with data visualization tools (Tableau, PowerBI, etc.) - Ability to thrive in a fast-paced, dynamic, entrepreneurial environment; ability to exercise flexibility and good judgment in complex situations - Appetite for curiosity and desire to learn - Must have an entrepreneurial mindset with a strong desire to have an impact on society Preferred Qualifications: - Comfort building with AI tools; experience using LLMs or AI-assisted coding environments to generate, test, and iterate on code is strongly preferred - Familiarity with HTML, CSS, and JavaScript for working with the team's existing web-based tools Required Skills: Data analytics, Analytical tools, AI tools Important Skills: Data visualization Nice-to-Have Skills: Entrepreneurial mindset, Curiosity Benefits: This position is bonus eligible.