Research & Evaluation Data Manager
U.S. Bankruptcy Court - District of CT, Hartford, CT, United States
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.
#J-18808-Ljbffr
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.
#J-18808-Ljbffr