About The Position

The Office of the Chief Strategy Officer (OCSO) is seeking an analytically strong, curious early-career professional to join their team. The Strategy & Analytics Analyst will focus on turning complex questions into clear analysis, practical recommendations, and tools to aid City leaders in making better decisions and delivering results. This role offers broad exposure to senior City leaders and the opportunity to move ideas from analysis into implementation. Assignments may cover a range of areas including affordable housing, transit, infrastructure, public safety, revenue, and economic development. The position combines public policy research, quantitative analysis, project management, and the applied use of AI for analysis, automation, and prototyping.

Requirements

  • Exceptional quantitative and structured problem-solving skills.
  • Ability to analyze data using Excel and at least one tool such as Python, R, SQL, Power BI, Tableau, or an equivalent platform.
  • Applied understanding of public policy, economics, finance, statistics, or program evaluation.
  • Ability to turn complex evidence into concise executive recommendations.
  • Ability to use generative AI, analytics, and low-code tools to accelerate research, automate workflows, and test ideas while applying responsible-use requirements.
  • Bachelor's degree in public policy, economics, data science, analytics, computer science, engineering, business, urban planning, or a closely related quantitative or policy field.
  • No full-time professional experience is required. Internships, co-ops, research, capstones, policy labs, fellowships, or independent projects may count as relevant experience.
  • Equivalent combinations of education, training, and experience will be considered.

Nice To Haves

  • A portfolio, capstone, dashboard, application, model, or other work product that uses data or AI to solve a real problem.
  • Coursework or experience in public finance, econometrics, program evaluation, operations research, human-centered design, or GIS.
  • Experience applying generative AI, AI agents, analytics, low-code tools, or APIs to research, automation, prototyping, or decision support.

Responsibilities

  • Analyzes complex policy, financial, operational, and community questions using quantitative and qualitative methods.
  • Builds financial models and forecasts—including DCF and NPV analyses—as well as benchmarks, scenarios, dashboards, and performance measures to evaluate options and expected impact.
  • Presents concise, evidence-based recommendations to City leaders through briefings, presentations, and decision materials.
  • Uses existing City-approved AI and analytical tools to accelerate research, synthesize information, identify insights, and evaluate strategic options.
  • Applies AI and low-code tools to automate repeatable analytical work and rapidly prototype solutions to City priorities.
  • Tests AI-assisted analyses, workflows, and prototypes for accuracy, usefulness, and usability before recommending adoption.
  • Moves strategic initiatives from concept through implementation by defining outcomes, milestones, roles, and success measures.
  • Coordinates City departments and external partners while tracking progress, risks, decisions, and dependencies.
  • Identifies barriers, develops solutions, and helps transition successful work to long-term City owners.
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