JDRF is the leading global organization focused on type 1 diabetes (T1D) research. JDRF’s goal is to progressively remove the impact of T1D from people’s lives until we achieve a world without T1D. JDRF collaborates with a wide spectrum of partners and is the only organization with the scientific resources, policy influence and a working plan to bring life-changing therapies from the lab to the community. As the largest charitable supporter of T1D research, JDRF has invested nearly $2B in research over the past 45 years and is sponsoring scientific research in 17 countries worldwide.

JDRF is growing rapidly and the demand for analytics is increasing exponentially along with our recent growth. We’re seeking a Data Analyst on our Data Science team who will work closely with our Business Development team to extract valuable, actionable insights for our clients. The work that the Data Analyst does will help both internal and external teams better understand JDRF’s performance and identify strategic opportunities for improvement.

Responsibilities:

• Identify data-driven insights and recommendations that help our clients improve their existing operational processes and understanding of their donor populations.
• Present and clearly communicate data findings and underlying methodology to internal teams and external clients through dashboards and visualizations.
• Help develop and standardize methods and processes with which the Data Science team can scale and enable internal teams to gain access to data insights.
• Understand the mechanics of JDRF’s platform and our data models.
• Perform ad hoc analysis of our client facing systemic issues and answer questions that lead to a solution.
• Act as a client-facing subject matter expert on JDRF data and the insights that we can gather from it.
• Build dashboards that enable data democratization and empower teammates to monitor key metrics
• Have a direct and profound effect on a data-driven organization.

• 3+ years’ experience in an analytical role
• Strong organizational, time management, and presentation skills
• Demonstrates a passion for breaking down and understanding complex systems
• Ability to effectively communicate across business stakeholders
• Degree in a quantitative field and 3+ years of experience in data analytics
• Strong SQL skills and knowledge of relational databases
• Experience in Python or other scripting languages
• Proficiency with business intelligence tools
• Strong knowledge of ETL processes

All your information will be kept confidential according to EEO guidelines.