Data Analyst

INTERNATIONAL RESCUE COMMITTEE

Data Analyst at International Rescue Committee focusing on data analysis for strategic decisions. Handling multiple complex internal datasets to support program effectiveness and decision-making.

Posted 7/9/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $86,000 - $100,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Create and maintain dashboards, visualizations, and reports to track program and strategy performance
Analyze and interpret large datasets to uncover trends, patterns, and insights that inform global program strategies
Work closely with cross-functional teams to ensure data is well represented to meet stakeholder needs
Identify opportunities to enhance the data collection and reporting processes
Keep abreast of industry trends and emerging analytics tools
Collaborate with fellow Analytics colleagues to ensure best practices in coding, statistics, and general analysis

Requirements

What you’ll need

3+ years working in the field of data analytics
2+ years’ experience in international humanitarian aid or development
Proven experience with enterprise data sets
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.

Benefits

Comp & perks

10 sick days
10 US holidays
20-25 paid time off days depending on role and tenure
medical insurance starting at $163 per month
dental starting at $6.50 per month
vision starting at $5 per month
FSA for healthcare and commuter costs
a 403b retirement savings plans with immediately vested matching
disability & life insurance
Employee Assistance Program available to staff and their families

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data AnalysisData VisualizationData InterpretationComplex Analytics Project ExecutionData Collection Enhancement

Soft Skills

CollaborationStakeholder EngagementTrend Analysis