Remote Fundraising Data Analyst: Insights & Dashboards

World Food Programme

Roma

Remote

EUR 40,000 - 54,000

Full time

3 days ago
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Job summary

The World Food Programme is seeking a Fundraising Data Analyst to empower the Individual Giving team with data-driven insights, dashboards, and reporting. You will collaborate with stakeholders to prioritise projects, support data governance, and expand datasets in the BI warehouse for better fundraising decisions.

Applicants should have a university degree and at least 3 years in digital marketing or fundraising, with strong SQL, Tableau, Python, and Excel skills, plus excellent English

Qualifications

  • University degree in a relevant field (Data Analytics, Statistics or related).
  • 3+ years of experience in digital marketing or fundraising.
  • Strong analytical mindset and data visualization knowledge.

Responsibilities

  • Create and maintain reporting dashboards in Tableau Server.
  • Support internal analysis projects and liaise with stakeholders.
  • Prioritise projects for the Individual Giving team and coordinate with multiple teams.
  • Expand and enhance datasets in the BI warehouse with tech teams.
  • Provide technical and analytical support to fundraising products.
  • Incorporate AI to automate routine analyses and derive insights.
  • Monitor industry trends and bring external insights to the team.
  • Assist with data governance.

Skills

Analytical mindset
Communication skills
Attention to detail
Fluent English

Education

University degree in a relevant field

Tools

SQL
Tableau
Python
Excel

Job description

The World Food Programme is seeking a Fundraising Data Analyst to empower the Individual Giving team with data-driven insights, dashboards, and reporting. You will collaborate with stakeholders to prioritise projects, support data governance, and expand datasets in the BI warehouse for better fundraising decisions.

Applicants should have a university degree and at least 3 years in digital marketing or fundraising, with strong SQL, Tableau, Python, and Excel skills, plus excellent English

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