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

Baltimore City Council

City Hall, Baltimore, US
$107,187.00 - $176,715.00 annually; hiring salary ...
On-site
Complex city datasets
Actionable insights
Stakeholder collaboration
The City of Baltimore seeks a Data Analytics Lead to serve in the Office of Performance and Innovation, focusing on data analysis to inform operational decisions. The role requires a strong background in data science, collaboration with city stakeholders, and the ability to translate complex datasets into actionable insights

Job Summary

  • The Data Analytics Lead (Operations Manager II) serves as a principal data practitioner within Office of Performance and Innovation (OPI), 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 offers medical, prescription drug, dental, vision, optional life, AD&D, and FSA plans.

Matching Summary

Match Score: 85

The City of Baltimore seeks a Data Analytics Lead to serve in the Office of Performance and Innovation, focusing on data analysis to inform operational decisions. The role requires a strong background in data science, collaboration with city stakeholders, and the ability to translate complex datasets into actionable insights.

Salary

$107,187.00 - $176,715.00 Annually; Hiring Salary Range: $107,187.00 - $141,950.00 Annually; Not specified

Skills & Requirements

Must-have

  • complex city datasets
  • actionable insights
  • stakeholder collaboration
  • Python, R, SQL
  • version control, command-line tools

Nice-to-have

  • iterative, Agile-style approaches
  • organizational learning and repeatability
  • data subject matter expert
  • trust with operational and program staff

Key Requirements

  • Bachelor's degree in data science, statistics, economics, natural sciences, or other data-heavy discipline
  • Five (5) years of experience in applied data science and data analysis
  • Equivalent combination of education and experience

Work Rights

Not specified

Tailored Resume

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