Senior Transportation Analyst Planner

MPL•Milwaukee, WI

1d•Onsite

About The Position

The Senior Transportation Analyst Planner leads advanced analytics, modeling, mapping, and performance initiatives to support data-driven transportation planning, policy development, and evaluation. This role serves as a technical lead for data and analytics for transportation studies and corridor projects, coordinating data among various DPW sections, units, and other departments. The position involves preparing technical reports, memoranda, and presentations, translating complex analytical findings into actionable recommendations, and providing staff oversight and technical guidance in transportation planning, data analysis, GIS, and performance activities. Additionally, the role involves leading GIS mapping activities, developing and maintaining transportation performance measures, overseeing data collection and analysis for project effectiveness, conducting data analysis for comprehensive and strategic planning, managing data collection technologies, building forecasting models, performing safety evaluations, and establishing protocols for data management and reporting. The position also involves designing and maintaining dashboards and recommending improvements to data systems and analytical processes.

Requirements

Bachelor’s degree in urban planning, geography, geographic information systems (GIS), statistics, data science/analytics or a closely related field from an accredited college or university.
Two years of professional-level project management experience performing data analysis and GIS in transportation planning, urban planning, or a related field.
Ability to travel independently around the City of Milwaukee by public transportation, walking, biking, or driving.

Nice To Haves

American Institute of Certified Planners (AICP) Certification.
Master’s degree in urban planning, geography, geographic information systems (GIS), statistics, data science/analytics or a closely related field from an accredited college or university.

Responsibilities

Serve as technical lead for data and analytics for transportation studies and corridor projects.
Coordinate data amongst various DPW sections and units, and other departments to support data-driven project development.
Provide technical oversight of analytical work.
Assist in the preparation of grant applications and required state/federal performance reporting.
Prepare technical reports, memoranda, and presentations for leadership and the Common Council.
Translate complex analytical findings into clear and actionable recommendations.
Provide staff oversight and technical guidance in transportation planning, data analysis, GIS, and performance activities.
Guide analytical methodologies, performance measures, data visualization, and transportation planning principles.
Promote collaboration, accountability, effective communication, continuous improvement, and knowledge sharing within the work unit and across departmental divisions.
Oversee and monitor project progress, and ensure timely completion of assignments consistent with departmental goals and objectives.
Lead GIS mapping activities, including creating high-quality public-facing maps and conducting analyses to support planning and design projects.
Oversee and maintain inventory of various DPW infrastructure assets in GIS.
Provide inputs and analyses for Capital Improvement Planning (CIP) and maintenance initiatives.
Integrate and maintain files, records, and plans of infrastructure and utility work completed within the right-of-way into GIS.
Develop protocols and mapping tools to assist in project scheduling and permitting.
Develop mapping governance procedures and policies.
Develop and maintain transportation performance measures consistent with local, state and federal requirements.
Oversee data collection and analysis for before-and-after studies to measure project effectiveness.
Conduct data analysis to support comprehensive and strategic planning efforts, including identifying appropriate data sources, analyzing data, presenting findings, and making recommendations based on findings.
Manage various data collection technologies related to multimodal safety and performance, such as video, radar, Light Detection and Ranging (LiDAR), and crowdsourced mobility analytics data.
Build and apply forecasting models and scenario analyses to support programming and long-range planning.
Perform safety evaluations, including high-injury network identification and systemic risk analysis.
Establish protocols for data collection, validation, integration, and reporting.
Design and maintain dashboards and visual reporting tools for executive and public use.
Recommend improvements to data systems, automation, and analytical processes.