Data Analytics, part of the division of Innovation & Performance Management, is responsible for fostering a data-informed NYC Parks by leveraging data to produce insights that cross divisional perspectives, and to create a culture of data use throughout the agency. We are an Equal Opportunity Employer. www.nyc.gov/parks.
For external applicants, please apply through www.nyc.gov/careers
1) Go to www.nyc.gov/careers/search
Search for Job ID#: 429074
For details about NYC Parks: www.nyc.gov/parks
Skills and responsibilities
• Under direct supervision of the Director of Data Analytics, with latitude for independent initiative and judgment, perform applied research and conduct analyses to detect and predict patterns, answer complex questions and extract insight.
• Acquire, clean, integrate, analyze and interpret disparate data sets using a variety of geospatial and statistical data analysis and data visualization methodologies, reporting and authoring findings where appropriate.
• Improve agency data analysis capacity by supporting the data analytics training program, assisting data users with projects, identifying data sources and helping choose and use appropriate techniques and software tools to answer questions.
• Advance NYC Parks’ Open Data initiative by working with Legal, Parks IT, Communications and division data owners to identify data sets, conduct data audits and assist in the development and implementation of processes to improve data interoperability and support data quality and data publication.
• Communicate analytical and scientific processes and results to internal and external stakeholders.
Residency in New York City, Nassau, Orange, Rockland, Suffolk, Putnam or Westchester counties required for employees with over two years of city service. New York City residency required within 90 days of hire for all other candidates.
$65,000.00-$75,000.00yearly, Plus excellent benefits
- Deadline: n/a
A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
1. Demonstrated expertise in statistical, analytical and data visualization software, especially ArcGIS, SQL tools and relevant Python libraries.
2. Experience supporting users with the above software tools, as well as Excel-based charting, statistical and analytical functions.
3. Proven track record of conducting quantitative and/or geospatial research.
4. Knowledge of relevant industry standards, best practices and scientific literature.
5. High level of proficiency in communicating and presenting both verbally and visually to stakeholders at all levels of the organization.
6. Ability to apply independent judgment on complex technical and data issues and to resolve problems effectively.
7. Prior experience and leadership working in interdisciplinary teams bridging information technology and subject matter expertise.
8. Familiarity with open-source packages and prototyping skills such as experience with d3.js.