🕐 Posted 6d ago

Outcome Analyst - Noida

Wadhwani Foundation

New DelhiFull-timeMid LevelOn-site

Job Description

Position Summary: To further Wadhwani Foundation’s mission of accelerating job growth through skilling and entrepreneurship, we are seeking an Outcomes Analyst – Ecosystem Impact to support the measurement and improvement of program outcomes across our Skilling and Entrepreneurship initiatives in India . This role will work closely with Central Program teams and on-ground program operators to understand how programs are performing across partners, geographies, and cohorts. The Outcomes Analyst will generate data-driven insights on what is working, what is not working, and why , enabling timely course corrections and stronger program outcomes.

The role will combine outcome tracking, ecosystem diagnostics, and operational insights , ensuring that program teams have the intelligence required to strengthen program delivery and improve long-term impact. While the analyst will work closely with program teams in the ecosystem, they will maintain a dotted line alignment with the Central Impact function, ensuring adherence to impact measurement frameworks, outcome definitions, and data quality standards. About Wadhwani Foundation: Wadhwani Foundation is a high-growth, not-for-profit tech organization dedicated to accelerating job growth and enabling millions to earn a family-sustaining wage and lead a dignified life.

Over two decades since its inception in 2001, the Foundation has focused on a simple but powerful mission: creating jobs and enabling entrepreneurs. The Foundation works in partnership with governments, foundations, corporations, and educational institutions through the following initiatives: Wadhwani Skills Network – Enables jobseekers with employability and professional skills to acquire family-wage jobs. Wadhwani Entrepreneur Network – Enables aspiring and practicing entrepreneurs to start, survive, and thrive through customized interventions.

Wadhwani Global Digital Transformation – Upskills governments with emerging technologies to accelerate population-scale projects and define new-age policies. Innovation & Research – Accelerates academic innovation in emerging technology domains including AI, biotech, and advanced computing. Key Responsibilities 1.

Ecosystem Intelligence & Program Diagnostics · Analyse program performance across partners, geographies, and cohorts to identify patterns in outcomes and program effectiveness · Identify drivers of success and underperformance in skilling and entrepreneurship ecosystems · Surface early signals on learner progression, partner performance, job placement outcomes, and venture creation · Generate ecosystem intelligence insights to help program teams understand where interventions are succeeding and where course correction is needed 2. Outcome Measurement & Monitoring · Support the implementation of approved outcome measurement frameworks across programs. · Track program KPIs such as employment outcomes, income progression, job retention, and venture sustainability · Monitor participant journeys across the program lifecycle to ensure accurate tracking of outcomes · Operationally manage outcome validation exercises such as surveys, tele-calling, third-party validations, and field verifications 3. Data Analysis & Operational Insights · Analyse program data to identify bottlenecks in learner or entrepreneur journeys · Identify partner or geography-specific performance variations; stakeholder-specific analysis · Translate data into actionable insights and operational recommendations for program teams · Support the development of performance dashboards and insight reports 4.

Field & Stakeholder Coordination · Work closely with program managers, trainers, placement teams, and partner organizations to understand operational realities · Support program teams with data-backed insights to improve mobilization, training effectiveness, employer engagement, and venture support · Coordinate with external stakeholders such as employers and ecosystem partners 5. Continuous Improvement & Program Learning · Conduct root cause analysis for underperforming partners, geographies, or cohorts · Support testing and analysis of pilot interventions or operational improvements · Document lessons and insights from program implementation 6. Data Quality & Compliance · Maintain high standards of data accuracy, completeness, and reliability · Ensure outcome data aligns with approved measurement frameworks and definitions · Support quality assurance processes for outcome measurement and reporting Required Qualifications · Bachelor’s or master’s degree in economics, Development Studies, Public Policy, Data Analytics, Statistics, or related fields · 3–5 years of experience in impact measurement, program analytics, development sector analytics, workforce development/skilling programs, or entrepreneurship ecosystem program · Experience working with primary and secondary data to generate operational insights is strongly preferred · Experience working with field teams or ecosystem partners will be an advantage Technical Skills · Strong analytical thinking and problem-solving ability · Proficiency in advanced MS Excel (advanced formulas, pivot tables, structured analysis) · Experience using data visualization tools such as Power BI or Tableau · Familiarity with MIS platforms and survey tools · Ability to conduct statistical and cohort analysis · Strong ability to translate data into clear written insights and presentations Core Competencies · Analytical and structured thinking. · Ability to combine data insights with field understanding. · Strong collaboration skills with program and GTM stakeholders. · Strong written and verbal communication skills. · High attention to detail and commitment to data integrity. · Comfort working with field teams, partners, and diverse communities.

What Success Looks like · Program outcomes are accurately measured and validated across ecosystems. · All relevant stakeholders’ teams receive timely insights on partner and ecosystem performance. · Early signals of program challenges are identified and addressed proactively. · Data and field insights inform program improvements and ecosystem strategy.

Posted 6 days ago

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