i-team Data Analytics Manager Save

i-team Data Analytics Manager

The i-team Data Analytics Manager will play a crucial role in leveraging data-driven insights to support local government innovation. This position is responsible for managing, analyzing, and visualizing data to drive strategic decision-making, enhance public services, and improve community outcomes. The ideal candidate is a data-savvy professional with strong analytical skills, experience in government or social impact work, and the ability to translate complex data into actionable insights.

Key Responsibilities:

• Collect, clean, and analyze data to identify trends, patterns, and opportunities for improvement.

• Develop data visualizations, dashboards, and reports to support strategic decision-making.

• Collaborate with cross-functional teams, including policymakers, civic leaders, and stakeholders.

• Utilize statistical methods, predictive analytics, and other advanced techniques to solve challenges.

• Ensure data integrity, security, and compliance with local regulations.

• Present findings and recommendations to leadership teams and external partners.

Specific Duties & Responsibilities

• Lead the development and implementation of the i-team’s strategies for using quantitative data and methods to understand complex issues at the intersection of climate and racial equity.
• Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data.
• Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc.
• Invent and quickly iterate novel solutions to challenging data-related problems.
• Create and manage project plans for the quantitative data components of all i-team work.
• Develop and manage partnerships and collaborations with data providers and stakeholders inside and outside of city government.
• Champion the use of quantitative data to drive decisions throughout the i-team’s work.
• Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders.
• Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.
• Develop metrics and measurement systems to measure the impact of the innovation team’s projects and initiatives.
• Connect data insights to civic design research and collaborate with the civic designer to conduct research sessions including focus groups, interviews, and user testing.
• Support analogous research and literature reviews.
• Serve as a key participant in each step of the Innovation Team methodology, providing a quantitative perspective to all projects.

Special Knowledge, Skills, & Abilities

• 5+ years relevant experience managing data and conducting quantitative analysis.
• In-depth knowledge of quantitative and statistical analysis techniques.
• Experience tracking key performance indicators.
• Highly proficient with big-data software such as STATA, R, SAS, GIS software, Tableau, etc.
• Advanced-level MS Excel skills, including the use of macros, pivot tables, and other advanced functions.
• Strong ability to communicate complex concepts to diverse audiences and stakeholders.
• Attentiveness to details, deadline-oriented, acute vision, and the ability to give and receive constructive criticism.
• Excellent written and oral communication.
• Experience working for or in collaboration with local government.
• Strong sense of service to residents of Rochester.

Qualifications:

• Bachelor's or Master’s degree in Data Science, Statistics, Public Policy, or a related field.

• Proficiency in data analysis tools such as Python, R, SQL, or Tableau.

• Experience in policy research, performance measurement, or civic technology projects.

• Strong communication skills with the ability to convey complex data in a clear and actionable manner.

• Ability to work independently and as part of a team in a fast-paced environment.