22NTC Session Proposal

Best practices in building a nonprofit data science team

Submitted by: Amanda Moss 🟠 | Civis Analytics


Many organizations recognize the value of data and analytics, but few have experience building out an organization’s data science capacity in a way that supports all of its strategic goals. This session will explore critical considerations and best practices for nonprofits looking to better integrate data analysis into everyday decision making. We will cover topics including: setting realistic goals (and managing expectations); types of team structures (and how to pick the right one); skills and expertise needed based on specific objectives; how to address common challenges; the role of technology vs. people; and key organizational commitments needed to ensure success.

Learning Outcomes

  • Understand the different ways to structure data science capacity within a nonprofit
  • Identify common issues nonprofits face when incorporating data science (and how to address those issues)
  • Recognize what’s needed from the entire organization to enable data science success

Session Type

60 minute session

Target Audience

Staff in charge of hiring/org structure; teams looking to be more data-driven; data-minded staff looking to support/drive adoption of analytics