Data and Technology Analyst, Bureau of Emergency Field Operations

Full-time
Description

Responsibilities:

  • Conduct research and analysis using a variety of quantitative methods across units including: Planning, Training, and Community Development, Operations and Logistics, and Clinical Planning;
  • Collaborate with internal and external stakeholders to develop and maintain procedures, systems, and applications to support emergency field operations;
  • Lead teams across Operations, DIITT, and DOITT on ways to best leverage, utilize, and even establish standards on the use and application of data, data formats, and data analytical tools across projects;
  • Act as a Project Manager to identify gaps in programmatic and IT related processes and ensure improvements are being addressed;
  • Develop targeted reports, dashboards, and data visualization models that surface key information about emergency field operations data;
  • Support the conduct of geographic information system research and processes to improve staff and deployment and population targeting using geocoding and geospatial analysis;
  • Assist with the conduct of trainings, including facilitating training modules and reviewing training curriculum;
  • Manage large datasets within SQL Server Database across multiple servers
  • Participate in the development and implementation of exercises and drills;
  • Conduct ad-hoc analyses and research to provide additional analytic support as needed to inform planning efforts and to support other units;
  • Serve as a key member of the DOHMH Incident Command System during emergency responses, which may include 24 hour availability.

Qualifications:

Minimum Requirements

  1. For Assignment Level I (only physical, biological and environmental sciences and public health) 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.
    To be appointed to Assignment Level II and above, candidates must have:
    1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
    2. A master’s degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
    3. Education and/or experience which is equivalent to “1” or “2” above. However, all candidates must have at least a master’s degree in an appropriate field of specialization and at least two years of experience described in “2” above. Two years as a City Research Scientist Level I can be substituted for the experience required in “1” and “2” above.

Preferred skills

  • Experience managing, blending, analyzing, and reporting on quantitative data from multiple sources;
  • Ability to develop and manage multiple IT related projects, excellent verbal and written communication skills;
  • Ability to design research projects, synthesize results, and present findings and recommendations succinctly;
  • Strong organizational ability including excellent analytical and problem-solving abilities, interpersonal skills, research skills and written and oral communication skills;
  • Ability to work both independently and with all levels of staff, exercising a high degree of initiative to accomplish tasks and solve problems;
  • Experience working for or with federal, state or local government;
  • Ability to write and maintain technical documentation, including procedure guides and data dictionaries;
  • Ability and willingness to learn new data software and platforms as needs arise;
  • Experience with data management software, geographic information systems (GIS), statistical programs, data visualization software (Tableau) (Oracle Business Intelligence), and relational database systems (SQL).
  • Advance coding skills, in languages such as: SQL, Python, SAS, SPSS, STATA, or R.

Salary: $ 64,140.00 (Annual)