Senior Analyst – Fundraising Data & Analytics
The Fundraising Data & Analytics team at Wikimedia Foundation is looking for a Senior Analyst. This role focuses on data analysis, business intelligence, and reporting to support the fundraising efforts of the Wikimedia Foundation. As a Senior Analyst, you will play a crucial role in leveraging data to drive strategic decision-making, optimize fundraising campaigns, and enhance donor engagement. You will work closely with fundraising, product, and engineering teams to provide actionable insights, build robust data solutions, and foster a data-driven culture.
As a Senior Analyst, Fundraising Data & Analytics, you will be responsible for:
- Develop, maintain, and automate reporting dashboards and key performance indicators to monitor fundraising performance and provide actionable insights to fundraising teams.
- Conduct in-depth data analysis to identify trends, patterns, and opportunities for optimizing fundraising strategies, donor engagement, and campaign effectiveness.
- Collaborate with fundraising teams, product managers, engineers, and other stakeholders to understand data requirements, define analytical objectives, and deliver data-driven solutions.
- Design and implement data models, ETL processes, and data pipelines to support fundraising analytics and reporting needs.
- Provide expert guidance and support to fundraising teams on data interpretation, analytical methodologies, and best practices for data-driven decision-making.
- Present findings and recommendations to diverse audiences, including senior leadership, in a clear, concise, and compelling manner.
- Stay updated on industry best practices, emerging technologies, and trends in data analytics, fundraising, and non-profit sectors.
- Mentor and train junior analysts, fostering a culture of continuous learning and growth within the team.
- Support the development and implementation of A/B tests and other experiments to optimize fundraising campaigns and donor experiences.
- Contribute to the continuous improvement of data infrastructure, tools, and processes to enhance the efficiency and accuracy of fundraising data analytics.
We’re looking for someone who has:
Skills and Experience
- 5-7+ years of experience in data analytics, business intelligence, or a related field, with a focus on fundraising, marketing, or non-profit sectors.
- Proficiency in SQL and experience working with large, complex datasets.
- Experience with data visualization tools (e.g., Tableau, Looker, Power BI) and building interactive dashboards.
- Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
- Excellent communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical audiences.
- Experience with statistical analysis and A/B testing methodologies.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Experience with ETL processes and data warehousing concepts.
- Experience working with cloud-based data platforms (e.g., GCP, AWS, Azure).
- Bachelor’s degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent practical experience.
Qualities that are important to us
- Solutions-oriented mindset and ability to lead data-driven initiatives to completion.
- A collaborative spirit, with the ability to work effectively across different teams and functions.
- Passion for the mission of the Wikimedia Foundation and a commitment to open knowledge.
Bonus points if you have:
- Experience with Python or R for data analysis and statistical modeling.
- Familiarity with marketing automation platforms and CRM systems (e.g., Salesforce).
- Experience with predictive modeling or machine learning techniques.
- Advanced degree (Master’s or Ph.D.) in a quantitative field.
