Job Specification Details

This is the fifth level in the AOT Data Analyst series. The focus of this position can vary in terms of supervision and expert-level data analysis. A Vermont Agency of Transportation (VAOT) Data Analyst V is a professional level position that must lead teams and may supervise other staff. In addition, the AOT Data Analyst V position oversees transportation data activities across multiple business units or across an entire department or agency and/or provides expert-level analysis services across multiple business units or across an entire department or agency.
In cases were an AOT Data Analyst V position is focused on supervision, primary responsibilities encompass the overall coordination of Data Analyst activities. An AOT Data Analyst V is accountable for ensuring and reviewing the data activities across the agency/department, including program evaluation, data analysis and spatial analysis of Agency data. In addition, this position focuses on defining needs, requirements, specifications, and budgets for projects and programs that leverage data and technologies that consume data. An AOT Data Analyst V must have advanced knowledge and skills surrounding data integrity, and standardization. Other appropriate skills include administering databases with the context of analytic and visualization techniques, and methodologies. This position will operate with a high degree of autonomy and accountability to ensure that data analysts and users are adequately trained. These duties and services extend across an agency, a department, multiple business units, or one large business unit. Duties are performed under the direction of a high-level
department or agency manager.
For cases where an AOT Data Analyst V position is focused on expert-level use of data, the primary responsibilities encompass the successful development and deployment of complex solutions. This position will be accountable for performing or coordinating the architectural design, programming, testing, deployment, and maintenance of complicated solutions that leverage Agency data and tools.
This position will operate with a high degree of autonomy and accountability to ensure that Agency data technology solutions are successful. These duties and services extend across an agency, a department, multiple business units, or one large business unit. Duties are performed under the direction of a highlevel department or agency manager.

Solicits and refines data analysis requirements with decision makers and stakeholders.
Oversees staff who manage Agency data and applications related to the Agency mission.
Manage Agency data analysis tools, visualizations, and websites.
Technical oversight for the development and management of public facing data tools, visualizations, and websites.
Lead efforts to conduct data discovery of large and disparate data, reveal additional source data systems, analysis methods and reporting requirements.
High level liaison with IT to coordinate the development of necessary tools, systems development, and future enhancements to support the Agency.
Oversee and support for staff in the design of the process for data collection, management and reporting activities associated with State and Federal reporting requirements.
Presents reports, data analysis, and visualizations to stakeholders, managers, and executive staff as required.
Oversee and lead strategic performance planning efforts and visualization tool development.
Supervise/manage processes to ensure data quality and develop associated documentation.
Oversee and present spatial data analysis for disparate but spatially related datasets to stakeholders.
Ensure that staff collaborate with other internal staff and external stakeholders on data management standards. May train AOT personnel on data analytic techniques.
Ensure staff collaborate with other state partners in data related projects. Example collaboration might include data analysis for annual planning initiatives and Safety Engineer’s system screening in identification of statewide roadway infrastructure risks.
Lead efforts for planning and implementation of highway data systems.
May supervise section.
Serve as section representative on committees and in meetings.
Participates in a variety of section and agency initiatives.
Performs related duties as required.
Continually conducts professional self-study to stay abreast of fast-moving data analytical and visualization environment.
Responsible for dissemination of timely and accurate data and information about the division/department’s policies, programs, services, and resources using a variety of means and formats to accommodate the diverse needs of data users.

Duties are performed primarily in a standard office setting. Occasional travel may be required.

Extensive knowledge of the principles and practices of Data Science, to include research methods and procedures of statistical analysis.
Extensive knowledge of data visualization methods and techniques.
Extensive knowledge of the principles and practices of Agency data sources, how data is captured and maintained.
Ability to lead efforts to conceptualize and document methods for the development and enhancement of systems to manage Agency datasets.
Ability to lead efforts to develop complex queries to summarize and aggregate data sources and integrate large amounts of disparate data as well as review these queries with an eye for accuracy.
Ability to develop and manage data processing routines to generate added value to existing datasets.
Ability to analyze complex problems and develop and implement effective solutions.
Ability to synthesize, summarize and present high level results from detailed data analysis.
Ability to communicate effectively, both orally and in writing. Ability to present complex concepts and analyses to a wide range of audiences.
Ability to establish and maintain effective working relationships.
Possesses a high degree of innovative capability.
 

Master’s Degree and (1) or more years of work experience INCLUDING one (1) or more of the following areas: statistical analysis, data science, data analysis, geospatial analysis, quality management, project/program management, program, or policy development.
OR
Bachelor's degree or higher in engineering, statistics, data science, geographic information systems, computer science or closely related field AND four (4) or more years of work experience INCLUDING two
(2) or more of the following areas: statistical analysis, data science, data analysis, geospatial analysis, quality management, project/program management, program, or policy development.
OR
Associates degree in engineering, statistics, geographic information systems, computer science or closely related field AND eight (8) or more years of work experience INCLUDING two (2) or more of the
following areas: statistical analysis, data science, data analysis, geospatial analysis, quality management, project/program management, program, or policy development.
OR
High school diploma or equivalent AND ten (10) or more years of work experience in one (1) or more of the following areas: statistical analysis, data science, data analysis, geospatial analysis, quality management, project/program management, program, or policy development.