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About the Role

As a Data Analyst for Fundraising, you will be part of the six-person Fundraising & Engagement team. This team connects dedicated individuals with our mission as donors or volunteers, securing funding for our work through creative initiatives.

Responsibilities

• Develop and maintain scalable performance monitoring for the Fundraising and Engagement department.
• Optimize fundraising and mobilization measures.
• Ensure data quality and data integrity.
• Enable data-based planning, segmentation, evaluation, and optimization of fundraising and engagement measures.
• Provide reliable decision-making foundations for the further development of fundraising, mobilization, and supporter journeys through KPI reporting, tests, and analyses.
• Segment and prepare data for fundraising and engagement measures.
• Develop, maintain, and document SQL queries and recurring evaluation logic.
• Evaluate fundraising, engagement, and mobilization measures based on agreed KPIs.
• Create monthly reports and dashboards with key control indicators.
• Prepare, evaluate, and derive learnings from A/B and multivariate tests.
• Analyze supporter journeys, target groups, and segments as a basis for optimization.
• Create ad-hoc evaluations and action recommendations for strategic decisions.

Requirements

• Ideally, possess a university degree or completed vocational training in Fundraising, Business Administration, Controlling, (Business) Informatics, Statistics, or Data Science. Open to career changers with equivalent proven qualifications and references.
• Minimum of three years of experience in digital fundraising for a non-profit organization.
• Proficient in using qualitative and quantitative data analysis tools, including tracking and analysis tools.
• Proficient in handling SQL databases and CRM systems.
• Experience with A/B and multivariate testing.
• Initial experience with project management tools such as Asana, monday.com, Jira, or comparable applications for organizing tasks, coordination, and project progress.
• Work in a structured and independent manner with strong problem-solving skills.
• Remain calm under pressure, especially when deadlines approach.
• React flexibly to unforeseen events and find suitable alternatives.
• Enjoy collaborating with others, even in a remote setting.
• Initial experience in the reflective use of AI tools in daily work, understanding the need for clear task definitions, sufficient context, and careful review.

Skills

• Data Analysis
• Performance Monitoring
• Fundraising Optimization
• Data Quality Assurance
• Data Integrity
• SQL
• CRM Systems
• A/B Testing
• Multivariate Testing
• Project Management Tools (Asana, monday.com, Jira)
• AI Tools

Location

• Berlin

Work Type

• Full-time
• Permanent
• Hybrid (Homeoffice & Büro)

Experience Level

• Minimum 3 years experience in Digital Fundraising

Education Level

• University degree or vocational training in Fundraising, Business Administration, Controlling, (Business) Informatics, Statistics, or Data Science (or equivalent experience)

Salary/Compensations

• €45,996.00 - €52,895.40 (experience-based)
• Bonus payments

Benefits

• Cafeteria model (financial benefits, Deutschlandticket, or additional vacation days)
• Subsidies for health services (e.g., B12 + D blood tests)
• Company pension plan
• Support for further education and training
• Dog-friendly offices with "dog-free" areas for allergy sufferers
• Ergonomic workstations

About the Company

• The Albert Schweitzer Foundation for our fellow creatures envisions a world where no animal suffers for the production of food.
• Their mission is to collectively raise animal welfare standards and reduce the consumption of animal products.
• Their work influences the economy, law, and politics, promoting respectful treatment of animals and facilitating the transition away from old patterns of action for all stakeholders.

Equal Opportunity

• We are convinced that diverse perspectives, experiences, and strengths enrich our team. Therefore, we welcome applications from people with diverse backgrounds and life paths.
• If the task excites you, please apply – even if you don't meet all the requirements. Your skills, potential, and motivation are what matter to us.