Description

What would you do if hired?

• Serve as ACA’s primary data lead on internal and external research and evaluation projects, including collecting, cleaning, analyzing, coding, interpreting, and reporting
  data.
• Produce clear data insights and visualizations (dashboards, tables, graphs, charts, etc.) that communicate findings clearly and effectively to technical and non-technical audiences.
• Build, maintain, and manage internal and external dashboards for ACA’s innovative grants projects and ACA industry-wide surveys using Power BI.
• Refine and oversee internal data management systems including developing and maintaining data codebooks, dictionaries, protocols, and standard operating procedures.
• Document best practices for data quality, privacy, security, and accessibility.
• Identify, track, and monitor relevant metrics to recognize and appropriately respond to association and programmatic strengths, weaknesses, & opportunities.
• Design data collection instruments.
• Engage in capacity building activities to advance evaluation readiness and skills for staff within the association.
• Produce data summaries, insights, and tools that drive association-wide learning, support grant-funded and industry-wide research projects and inform the field-facing
  resources.
• Stay informed on developments in data, evidence-based policy, artificial intelligence, and camp research to ensure alignment with emerging trends, and best practices.

Requirements

What would you do if hired?

• Serve as ACA’s primary data lead on internal and external research and evaluation projects, including collecting, cleaning, analyzing, coding, interpreting, and reporting
  data.
• Produce clear data insights and visualizations (dashboards, tables, graphs, charts, etc.) that communicate findings clearly and effectively to technical and non-technical
  audiences.
• Build, maintain, and manage internal and external dashboards for ACA’s innovative grants projects and ACA industry-wide surveys using Power BI.
• Refine and oversee internal data management systems including developing and maintaining data codebooks, dictionaries, protocols, and standard operating
  procedures.
• Document best practices for data quality, privacy, security, and accessibility. 
• Identify, track, and monitor relevant metrics to recognize and appropriately respond to association and programmatic strengths, weaknesses, & opportunities.
• Design data collection instruments.
• Engage in capacity building activities to advance evaluation readiness and skills for staff within the association.
• Produce data summaries, insights, and tools that drive association-wide learning, support grant-funded and industry-wide research projects and inform the field-facing
  resources.
• Stay informed on developments in data, evidence-based policy, artificial intelligence, and camp research to ensure alignment with emerging trends, and best practices.