M&E Data Analyst

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Delivery Associates

📍Remote - United States

Summary

Join Delivery Associates, a global social impact consultancy, as an Associate in the Measurement & Evaluation practice. You will contribute to projects that support public sector partners (government, philanthropy, and non-profits) in understanding program effectiveness and driving greater impact. Your responsibilities will include data cleaning and analysis, creating visuals, conducting research, and communicating insights. This role requires a Bachelor's degree, a minimum of 2 years of relevant work experience in analytics, data science, economics, or program evaluation, and strong quantitative analysis skills. Proficiency with Excel and Google Sheets is essential, and experience with programming/econometrics software (Stata, R, Python) is preferred. You will be part of a growing team working on transformative projects across all continents, with opportunities for travel and professional development.

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
  • 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

  • Support public sector partners (government, philanthropy and non-profits) to understand what’s working and improve their programs
  • Work with leaders in the public sector (government, philanthropy, 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 in their work
  • Contribute by cleaning and analyzing data, creating visuals, conducting research, and clearly communicating insights—all to generate evidence that drives 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

Benefits

  • Meaningful work that contributes to solving complex social challenges around the world
  • Ongoing learning and growth through mentorship, formal training, and leadership opportunities over time
  • Opportunity to be part of a growing team working on transformative projects in all continents
  • Opportunity to shape the future trajectory of a fast-growing firm and grow with it
  • Competitive compensation and benefits
  • Opportunities for travel

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