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Senior Data Analyst

International Rescue Committee
London, GBR
Full-time
Onsite
Discovered 1 weeks ago
Data analysisStatistical modelingData reportingDashboards and visualizationsData modelingFundraising analytics

Full Job Posting

Role purpose

Join IRC's Global Analytics team as a Senior Data Analyst, primarily supporting Philanthropy and High Value fundraising teams.

Use data analysis, statistical modeling, and reporting to guide fundraising decisions and improve donor engagement and outcomes.

Major responsibilities

  • Analyze large datasets and develop dashboards, visualizations, reports, and models for fundraising performance, donor engagement, and external benchmarking.
  • Provide strategic recommendations for fundraising effectiveness, campaigns, donor retention, and personalized donor experiences.
  • Partner with Philanthropy and High Value teams and collaborate with fundraising, marketing, finance, and analytics colleagues.
  • Present actionable findings to senior management and identify ways to improve data collection and reporting processes.
  • Track analytics trends and tools and contribute to team capabilities and technical best practices in coding and statistics.

Candidate verification

  • Applicants are asked to complete a brief data task using donors.csv and gifts.csv and upload a Word document with answers in the cover letter field.
  • The posting says the verification exercise is not part of the skills assessment.

About IRC

IRC responds to humanitarian crises and works to help people affected by conflict and disaster.

Requirements

  • Experienced, highly analytical data analyst with expertise in data analysis, statistical modeling, and reporting.
  • Ability to create and maintain dashboards, visualizations, reports, and data models for fundraising performance, donor engagement, and external benchmarking.
  • Ability to translate analytical findings into strategic recommendations and communicate complex insights clearly to senior stakeholders.
  • Ability to collaborate with fundraising, marketing, finance, and analytics colleagues and build strong business knowledge of stakeholder teams.
  • For the application verification exercise, use any tool such as SQL, Python, R, or similar to answer the provided data questions.

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