Senior GIS Analyst, Bureau of Data Technology & Strategy

Job Description

The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward linking public health, healthcare, and social service for timely and effective public action. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected “ and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agencywide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers. CPHDS has an opening for Senior GIS Analyst. This position will be within the Health Department's innovative Center for Population Health Data Science (CPHDS). The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data to be accessible, timely, equitable, meaningfully usable, and protected in order to protect and promote health and wellbeing of New Yorkers. The Bureau of Data Technology and Strategy (BDTS) is dedicated to the development of the new data ecosystem and infrastructure. BDTS will house the CPHDS' governance, partnerships, product management, data engineering, and data visualization work.

This person will support day to day spatial data and mapping needs of the Agency in an effort to build GIS capacity at DOHMH to facilitate geospatial components of the Data Modernization Initiative, including development of static and interactive maps, data visualizations, curated spatial datasets and support for spatial data analysis and mapping projects for a wide range of Public Health programs. This position will also support developing processes, tutorials, and tools for the Agency's Enterprise Data Platform. Data analysis would draw on large, constantly changing, often uncleaned datasets and require experience with data manipulation and visualization, creating maps, and developing software tools, educational materials, and trainings.

DUTIES WILL INCLUDE BUT NOT BE LIMITED TO:
- Collaborate with a wide range of DOHMH staff and outside experts to develop and maintain data management software tools, processes, and documentation that contributes to the modernization of spatial data analysis processes at DOHMH. This includes participating in collaborative software development via Github, and collaborating with colleagues to develop the Enterprise Data Platform.
- Use mapping and statistical software (e.g., GIS, Python, SQL Server, R) to clean, manage, and analyze data and create maps and tools.
- Support cross-divisional collaboration by collaborating with colleagues in CPHDS and other divisions to execute both basic and complex data and mapping analyses.
- Manage and manipulate large, complex, uncleaned, and constantly changing data sets and databases.
- Examine the integrity and comparability of data.
- Provide routine data maintenance on established data sources.
- Prepare static and interactive maps and dashboards for internal & external audiences.
- Create and/or manage the creation of charts, maps, and tables for websites, reports, and social media using graphics platforms and data visualization tools, adhering to DOHMH visualization guidelines.
- Conduct trainings and workshops on GIS, Linux, and other software tools to build workforce capacity and modernization of data analysis processes.
- Create documentation for all work products.

PREFERRED SKILLS:
- Ability to create spatial datasets and perform geographic data processes on spatial data.
- Possession of strong analytical / statistical skills used in evaluating and analyzing spatial data.
- Expertise in programming languages for data analysis, such as R and Python.
- Expertise with software development and data analysis in Red Hat Enterprise Linux environment and bash.
- Proficiency with git and Github for version control and collaborative software development.
- Proficiency geocoding with DCP's GeoSupport software.
- Experience working with NYC spatial data, NYC Open Data, and other NYC-centric datasets.
- Experience with mapping US Census data and querying APIs.
- Experience producing high quality error-free maps and data visualization products and analytic deliverables in high-pressure contexts.
- Ability to work independently with strong attention to detail and data quality checks.
- Excellent communication (verbal & written) and interpersonal skills.
- Proficiency with QGIS or ArcGIS.