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Measurement & Evaluation Data Analyst Associate

Application ends: October 8, 2026
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Job Overview

  • Date Posted
    July 8, 2026
  • Location
    Remote
  • Expiration date
    October 8, 2026

Job Description

JOB  DETAILS

Requirements
  • Bachelor’s degree
  • A minimum of 2 years of relevant, full time work experience in analytics, data science, economics, and/or program evaluation; government, consulting, public policy, or tech ideal.
  • Quantitative analysis skills, demonstrated experience with statistics, econometrics and/or data science techniques and practices.
  • Proficiency with Excel and Google Sheets required; experience with programming/econometrics software (Stata, R, Python) preferred; knowledge of visualization platforms (Tableau, Power BI), a plus.
  • Knowledge of data warehousing solutions, big data, machine learning and/or the use of artificial intelligence (AI) tools for data processing.
  • Demonstrated comfort using or learning GenAI tools (e.g., ChatGPT, Claude, Gemini) to support delivery, problem-solving, or internal operations
  • Ability to translate AI capabilities into responsible, real-world applications in a public sector or mission-driven context.
  • Business-level English skills.
  • Must be based in and have work authorization in the United States. Delivery Associates will not sponsor applicants for work visas.
Responsibilities
  • As an Associate, you’ll contribute by cleaning and analyzing data, creating visuals, conducting research, and clearly communicating insights—all to generate evidence that drives greater impact.
  • We work with leaders in the public sector (government, philanthropy and non-profits) to define their theory of change, build and operate systems for collecting the right data, and assess and evaluate programs to generate evidence that will drive greater impact.
  • Collect, store, clean, transform and conduct quality checks to ensure data is accurate for analysis.
  • Analyze data to extract actionable insights and recommendations and visualize it for decision making.
  • Model data to identify patterns and forecast future trends: Utilize advanced analytical and statistical techniques and tools to reveal relationships within datasets, enabling prediction of outcomes and informed decision-making
  • Write, visualize and communicate clearly: Turn complex problems or insights into clear memos and well-structured slides; speak clearly and concisely in remote and in-person settings. Be able to simplify complexity, translating technical language into digestible narratives that enable great decision making of different audiences.
  • Work effectively on fast-moving projects: Bring clear structure and planning to day-to-day work and communication.
  • Solve problems: Break down problems and identify root causes before developing hypotheses and solutions.
  • Stay focused: Navigate complexity, especially in policy and program implementation, consistently steering large coalitions back to a single-minded focus on priority outcomes.

 

 

 

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