Data Analytics Lead, Operations Manager Ii (ncs) - Mayor's Office Of Performance And Innovation

Baltimore City

City Hall, US
Base: $107,187.00 - $176,715.00 annually; hiring s...
**
Investigate complex city datasets
Partner with city stakeholders
Develop data workflows and tools
** The City of Baltimore is seeking a Data Analytics Lead for the Office of Performance and Innovation. This role requires a blend of technical data analysis skills and the ability to collaborate with various stakeholders to drive data-informed decision-making. **

Job Summary

  • The Data Analytics Lead serves as a principal data practitioner responsible for navigating complex city datasets, surfacing actionable insights, and partnering with operational teams to solve real problems through data.
  • This role combines hands-on data investigation, rapid exploration, and strong stakeholder collaboration to drive Baltimore's data-informed decision-making.
  • The City of Baltimore offers limitless opportunities to help drive social impact, both on the job and in the community, while serving its citizens.

Matching Summary

Match Score: 75

** The City of Baltimore is seeking a Data Analytics Lead for the Office of Performance and Innovation. This role requires a blend of technical data analysis skills and the ability to collaborate with various stakeholders to drive data-informed decision-making. **

Salary

Base: $107,187.00 - $176,715.00 Annually; Hiring Salary Range: $107,187.00 - $141,950.00 Annually; Benefits: Medical, prescription drug, dental, vision, optional life, AD&D, and FSA plans

Skills & Requirements

Must-have

  • Investigate complex city datasets
  • Partner with city stakeholders
  • Develop data workflows and tools
  • Apply Agile-style analytical approaches
  • Communicate complex data via narrative and visualizations

Nice-to-have

  • Build trust with operational staff
  • Continuous learning and stakeholder partnership
  • Drive social impact

Key Requirements

  • Bachelor's degree in data science, statistics, economics, natural sciences, or other data-heavy discipline
  • 5 years of experience in applied data science and data analysis
  • Proficiency in Python, R, SQL, and data visualization tools
  • Experience with version control, command-line tools, and collaborative development workflows

Work Rights

Not specified

Tailored Resume

Cover Letter