IDinsight Recruitment Program 2025 | Hiring Associate – Impact & Transformation (Entry Level)

Qualifications

• Strong project management skills, self-disciplined and motivated to produce a consistent high-volume of high quality outputs, with an ability to easily switch between high-level considerations and nuts and bolts of implementation.
• Excellent judgment and problem-solving abilities, with an ability to think through complex questions conscientiously and judiciously.
• Strong quantitative and critical thinking skills, including an understanding of econometric and statistical tools. Knowledge of statistical tools (R/Stata).
• Ability to identify, scope, develop, and manage deployment of high-value no-code AI agents (like Gems/Skills/GPTs/Projects).
• Motivated by evidence-informed systems improvement and organizational change management.
• Strong written and verbal communication skills.
• Ability to develop a deep and nuanced understanding of how data and associated tools can be tailored to decision-making needs within IDinsight.
• Open-minded self-starter who will thrive while tackling new, unusual and unpredictable challenges.
• Excellent interpersonal skills to effectively and inclusively engage with a variety of internal clients.

As an associate, the day-to-day responsibilities may include:

• Technical skills: Support all technical elements of the team’s work, possibly including methodology development, questionnaire design, indicator selection, data collection (internal and with partners), data analysis, and data visualization. Technical work is likely to focus on non-experimental methods.
• Project and client management: Driving the day-to-day execution of the project work according to project plans and leading internal coordination efforts for the team.
• Communication: Produce high-quality communication materials describing our approach and results, including technical reports, policy briefs, and presentation materials.
• Strategy development and execution: Help continuously refine ILT’s objectives and approach to ensure maximum impact. You will also have the opportunity to identify, pilot, and implement special projects that enhance our organizational learning.
• Innovation: Continuously innovate on how we can improve our value, including identifying new problems, developing new methods, improving our approach, and piloting new outputs.
• Research hygiene and data infrastructure: Build and maintain robust data systems, documentation, and reproducible workflows to keep IDinsight’s impact and operations data accurate, accessible, and analyzable. Strengthen data architecture, version control, and transparency to make data easier for staff and teams to use.

This role may not be a good fit for everyone. It is an entry-level position, and you will not initially be driving major strategic decisions or leading initiatives. You also will not specialize in a single area. We are looking for generalists who can contribute across a range of initiatives. While you will develop strong analytical judgment through repeated exposure to high-quality work, you should not expect to become “the expert” in one narrow domain.