Integrated Data Team – Visual Data Analyst – Temp
The Fund for Public Health in New York City (FPHNYC) is a 501(c)3 non-profit organization that is dedicated to the advancement of the health and well-being of all New Yorkers. To this end, in partnership with the New York City Department of Health and Mental Hygiene (DOHMH), FPHNYC incubates innovative public health initiatives implemented by DOHMH to advance community health throughout the city. It facilitates partnerships, often new and unconventional, between government and the private sector to develop, test, and launch new initiatives. These collaborations speed the execution of demonstration projects, effect expansion of successful pilot programs, and support rapid implementation to meet the public health needs of individuals, families, and communities across New York City.
PROGRAM OVERVIEW: Integrated Data Team
Program Mission, Scope and Tasks
The Integrated Data Team (IDT) applies analytical skills to leadership, policy, program management and public health communication challenges. The mission of the Integrated Data Team (IDT) is to identify, synthesize and integrate public health data to inform emergency response and promote health equity. Using data from multiple stakeholders, we coordinate with data owners, community organizations and City leadership to solve complex problems, build consensus and improve pandemic response. We make sure decision makers, community organizations and the public have access to meaningful, timely data.
In a typical 7 day week, the IDT team will:
- Coordinate data sharing with other agencies and external partners
- Respond promptly to City Hall, Commissioner of Health and other leadership under the direction of the Incident Commander to inform data driven decision making
- Communicate data and public health information in accessible ways for diverse audiences
- Lead strategic integrated data initiatives by cultivating data sources and leveraging data visualization, GIS, statistics and epidemiology skills from IDT and other agency analysts
- Curate scientific literature with the Principal Scientific Advisor (PSA) and develop background briefings for the Incident Commander
As part of the larger Integrated Data Team structure, we are seeking three Visual Data Analysts to join our Viz Team. Each Visual Data Analyst will work with data owners to create, maintain, and automate compelling dashboards for City leadership. These dashboards, created primarily via Tableau but also expanded to data wrapper, will clearly communicate COVID-19 impacts and trends citywide, as well as within specific communities. The Visual Data Analyst will clean and analyze data, visualize information, develop documentation to help end users navigate content, and create compelling dashboards that accurately reflect the COVID scientific landscape in New York City. With support from the Tableau Manager, the Visual Data Analyst will work with data owners and content experts to design data tables, build Tableau dashboards and on-off analyses, solicit design feedback and implement changes quickly, and publish content to Tableau Server with automated extract refreshes. The ideal Visual Data Analyst will be comfortable analyzing data across platforms (SQL, R, Python, SAS, etc) in addition to Tableau. He/she will be excited by a fast paced workplace and energized by data challenges and thorny data problems. Finally, he/she will be passionate about using design to make complex data insights accessible to leaders and the public.
- Work with data owners to design and validate measures, analyze data and create robust definitions
- Create Tableau and potentially data wrapper visualizations that quickly communicate trends, changes and magnitude
- Conduct quality assurance on data and dashboards to ensure that DOHMH accurately communicates what is known and what is still uncertain
- With other analysts and the Tableau Manager, expand visualization capacity across IDT by identifying Tableau training opportunities, mentoring colleagues and providing editing and dashboard design feedback
- Use R, SAS, SQL, Python or similar software to analyze large, dirty data with formatting challenges and definitional changes over time
- Please note: analysts on the Viz team will work to cover weekend or evening hours as needed, to contribute to IDT’s mission of providing decision makers with the pandemic insights to drive impact. We anticipate an average 43 hour workweek.