Data Scientist

Responsibilities

• Develop and implement predictive models to forecast donor behavior, fundraising trends, and community needs.
• Create reports and dashboards.
• Analyze datasets from CRM, donor databases, and program outcomes to identify actionable insights.
• Collect, clean, and analyze data on our nonprofit’s initiatives and projects.
• Work closely with teams to understand data needs and develop effective data collection strategies.
• Collaborate with cross-functional teams to integrate data-driven approaches into decision-making processes.
• Navigate and explore the data lake to identify relevant datasets for analysis.
• Conduct statistical analyses to assess program effectiveness and identify areas for improvement.
• Create clear, concise reports and visualizations to communicate insights to stakeholders, donors, and internal teams.
• Ensure data accuracy and integrity, implementing quality control measures as needed.
• Help identify the business data needed to produce the most valuable insights and future analytics.
• Utilize data to make actionable recommendations.
• Monitor data management processes to ensure data quality and consistency.
• Verify data quality to ensure accurate analysis and reporting.
• Contribute to data dictionary, standards, training, and ongoing updates.
• Develop and maintain databases, data collection systems, and data analytics tools.
• Use statistical analysis, machine learning, and AI techniques to perform predictive analytics.
• Communicate complex findings and recommendations to non-technical stakeholders effectively.
• Translate complex analytical findings into clear, actionable recommendations tailored to both technical and non-technical audiences.
• Stay updated on industry best practices and emerging trends in data analysis.

Skillset

• Bachelor’s degree in mathematics, finance, statistics, economics, business, computer science, engineering, or information systems.
• At least three years of experience as a data analyst or in a related role.
• Comfortable with statistics, datasets, and machine learning exercises.
• Strong critical thinking skills and attention to detail.
• A leader and critical thinker with time management skills.
• Strong communication skills and a commitment to the nonprofit’s mission.
• Proven experience as a data analyst or in a related role.
• Proficiency in data analysis tools and languages (e.g., SQL, Python, R, Tableau, PowerBI, QuickSight, GIS); SQL is required.
• Familiar with Snowflake data platform.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work independently and collaboratively in a team environment.