Senior Associate

Senior Associate - Internal Learning, Impact Improvement

Location: Delhi

The Internal Learning Team generates, analyzes, and uses internal data to improve internal decision-making and learning, similar to the work IDinsight does with our clients.

In the next year, we expect to focus on improving internal impact measurement, advancing the transformation, informing strategy development, revamping our OKRs, and exploring an external service.

The senior associate will use the same suite of rigorous data-centric problem-solving tools we use with our clients, especially non-experimental techniques. The (s)associate's primary client will be IDinsighters across the organisation, especially our CTLO and CIO, regional leads, and client-facing teams. Come support a key part of what makes IDinsight special

About IDinsight

We amplify social impact by partnering with leaders to develop tailored solutions. Our mission is to use data and evidence to help leaders combat poverty worldwide.

IDinsight is a mission-driven global advisory, data analytics, and research organization that helps global development leaders maximize their social impact. We tailor a wide range of data and evidence tools, including randomized evaluations and machine learning, to help decision-makers design effective programs and rigorously test what works to support communities. We work with governments, multilateral agencies, foundations, and innovative non-profit organizations in Asia and Africa. Our work spans a wide range of sectors, including agriculture, education, health, governance, sanitation, financial inclusion, and other areas.

We have expertise in a variety of rigorous approaches and methodologies, which we tailor to each client depending on their needs and constraints. To achieve a positive social impact we:

• Support clients' use of data and evidence for routine and major decision-making.
• Inform funding decisions – toward high-impact initiatives and away from less effective programs or approaches.
• Create and share tools, knowledge, and ideas that expand the use of data and evidence for social good.

Our diverse, growing team of roughly 230 outstanding colleagues operate in nearly two dozen countries around the world. Learn more about our mission and values at

About you

The strongest candidates will bring a portfolio-learning mindset and a passion for improving how organizations make complex decisions. You thrive on learning across heterogenous projects and draw insights that make teams and systems more effective over time. You're energized by ambiguity and motivated to bring structure to it- able to compare initiatives, even those without clear or direct beneficiaries, and extract meaningful lessons. You are skilled at translating evidence into decision-relevant insights, building simple impact models and cost-effectiveness estimates that make assumptions transparent, trade-offs explicit, and choices actionable. You naturally apply Bayesian thinking - updating your views as new evidence emerges- to help teams navigate uncertainty and make adaptive, informed decisions.

Responsibilities

As a senior 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. We're especially interested in someone who has skills or interest in learning Bayesian techniques.
• Project and client management:
  Manage project flow between our team and internal and external clients, likely the CLTO, CIO, regional teams, client-facing teams, external clients, funders, and functional teams like operations and finance.
• Communication:
  Produce high-quality communication materials describing our approach and results, including technical reports, policy briefs, and presentation materials. For example our methodology document, insights page, or reports.
• 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.

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. We're especially interested in someone with an understanding of or interest in learning Bayesian methods. Knowledge of statistical tools (R/Stata).
• Identify, scope, develop and manage deployment of high-value internal AI tools (like GPTs/ GEMs for impact measurement).
• 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.

Professional development

Skill and career development are core to IDinsight's values and long-term impact strategy, and have been noted highlights of teammates' experiences. IDinsighters receive significant mentorship from IDinsight leadership, support from talented peers, and are given considerable autonomy when ready. They maintain professional development plans and are given "stretch" opportunities designed to strengthen a variety of skills. Real-time feedback is embedded in our culture and formal structure enables maximum professional growth. Additionally, teammates have access to an annual professional development stipend that they are encouraged to utilize to explore their career interests and develop their skills.

Nuts & bolts

Start date

The start date of this position is as soon as possible. We expect a one-year minimum commitment, with regular professional development conversations and potential for a long-term career at IDinsight.

Work authorization

IDinsight is able to sponsor employment visas for all nationalities in these locations; however, we will prioritize candidates who do not require IDinsight to sponsor work authorization in the aforementioned countries. All candidates who are not currently located in our country offices listed above will be expected to relocate to their office locations at the onset of their employment.

Compensation

Compensation and benefits are commensurate with the qualifications and experiences IDinsight is hiring for, and competitive within the global development sector. We are especially proud of the people-focused benefits we offer including comprehensive international health insurance, including mental health coverage; paid vacation, sick, and parental leave; relocation benefits; a travel stipend; technology and work from home stipends; a professional development budget; and more.

Please note, as a non-profit, we are unable to provide compensation similar to leading private sector organizations.

How to apply

Please click the "Apply" button at the top. Applications will be reviewed on a rolling basis. The application asks various questions in order for us to get to know you, and
requires a CV and cover letter
.

Please ensure that your CV includes relevant professional and personal experience as well as details on academic qualifications. CVs can range from one to two pages. Please note, headshot photographs, parental details, birth dates, marital status and other personal information not relevant to the application do not need to be included in your CV. Additionally, we strongly encourage you to use your cover letter to highlight why you want to work for IDinsight specifically, and what has prepared you to succeed in the role you're applying for. A customized cover letter is an important part of IDinsight's recruiting process as it allows us to understand your motivations for the position, relevant skills, and clarity of writing.

More information, including details on
IDinsight's hiring process

and
frequently asked questions
, can be found online at IDinsight Careers. Any questions should be directed to