CRRD Data Analyst

Responsibilities

• Data Analysis & Reporting
• Analyze and interpret large datasets to uncover trends, patterns, and insights that inform global program strategies.
• Create and maintain dashboards, visualizations, and reports to track program and strategy performance, pulling from grants, finance, and program data from across IRC’s core business systems (Integra, OTIS, Salesforce, and PID).
• Stakeholder Collaboration
• Work closely with cross-functional teams (e.g., programs, fundraising, marketing, and finance) to ensure data is well represented to meet stakeholder needs.
• Process Improvement & Innovation
• When relevant, identify opportunities to enhance the data collection and reporting processes, ensuring accuracy, efficiency, and alignment with global goals.
• Keep abreast of industry trends and emerging analytics tools, and bring innovative ideas for improving the team’s capabilities.
• Collaborate with fellow Analytics colleagues to ensure best practices in coding, statistics, and general analysis.

Qualifications

• 3+ years working in the field of data analytics.
• 2+ years’ experience in international humanitarian aid or development.
• Proven experience with enterprise data sets, including technical skills across the data stack: cloud lakehouse platforms (Databricks preferred), Python and SQL, dbt or equivalent transformation tooling, pipeline orchestration, and BI/visualization tools (e.g. Power BI, Tableau).
• Demonstrable experience planning and executing complex analytics projects across multiple stakeholders.
• Experience with PowerBI.
• Strong data visualization and communication skills: ability to “tell a story” with numbers in a variety of formats: PowerPoints, dashboards, memos, and presentations.
• Strong analytical thinking and problem-solving skills with the ability to interpret complex data and provide actionable insights.
• Curiosity and willingness to explore complex and ambiguous problems and deliver actionable insights through both quantitative and qualitative data analysis.
• Highly collaborative and pro-active colleague with a talent for delivering results with cross-functional groups.
• Strong attention to detail & commitment to a high standard of work product.