- Functional Area Analytics & Business Intelligence
Position Summary:
To further Wadhwani Foundation’smission of accelerating job growth through skilling and entrepreneurship, weare seeking an Outcomes Analyst – Ecosystem Impact to support themeasurement and improvement of program outcomes across our Skilling andEntrepreneurship initiatives in India.
This role will work closely with CentralProgram teams and on-ground program operators to understand how programsare performing across partners, geographies, and cohorts. The Outcomes Analystwill 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 outcometracking, ecosystem diagnostics, and operational insights, ensuring thatprogram teams have the intelligence required to strengthen program delivery andimprove long-term impact.
While the analyst will work closelywith program teams in the ecosystem, they will maintain a dotted line alignmentwith the Central Impact function, ensuring adherence to impact measurementframeworks, outcome definitions, and data quality standards.
About Wadhwani Foundation:
Wadhwani Foundation is ahigh-growth, not-for-profit tech organization dedicated to accelerating jobgrowth and enabling millions to earn a family-sustaining wage and lead adignified life.
Over two decades sinceits inception in 2001, the Foundation has focused on a simple but powerfulmission: creating jobs and enabling entrepreneurs.
The Foundation works inpartnership with governments, foundations, corporations, and educationalinstitutions through the following initiatives:
Wadhwani Skills Network – Enables jobseekers with employability and professional skillsto acquire family-wage jobs.
Wadhwani EntrepreneurNetwork – Enables aspiring and practicingentrepreneurs to start, survive, and thrive through customized interventions.
Wadhwani Global DigitalTransformation – Upskills governments with emergingtechnologies to accelerate population-scale projects and define new-agepolicies.
Innovation & Research – Accelerates academicinnovation in emerging technology domains including AI, biotech, and advancedcomputing.
Key Responsibilities
- Analyse program performance across partners, geographies, andcohorts to identify patterns in outcomes and program effectiveness
- Identify drivers of success and underperformance in skilling andentrepreneurship ecosystems
- Surface early signals on learner progression, partner performance,job placement outcomes, and venture creation
- Generate ecosystem intelligence insights to help program teamsunderstand where interventions are succeeding and where course correction isneeded
2. Outcome Measurement &Monitoring
- Support the implementation of approved outcome measurementframeworks across programs.
- Track program KPIs such as employment outcomes, incomeprogression, job retention, and venture sustainability
- Monitor participant journeys across the program lifecycle toensure 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 orentrepreneur journeys
- Identify partner or geography-specificperformance variations; stakeholder-specific analysis
- Translate data into actionable insights and operationalrecommendations for program teams
- Support the development of performancedashboards and insight reports
4. Field & Stakeholder Coordination
- Work closely with program managers, trainers, placement teams, andpartner organizations to understand operational realities
- Support program teams with data-backed insights to improvemobilization, training effectiveness, employer engagement, and venture support
- Coordinate with external stakeholders such as employers andecosystem partners
- Conduct root cause analysis for underperforming partners,geographies, or cohorts
- Support testing and analysis of pilot interventions or operationalimprovements
- Document lessons and insights from program implementation
6. Data Quality & Compliance
- Maintain high standards of data accuracy, completeness, andreliability
- Ensure outcome data aligns with approved measurement frameworksand definitions
- Support quality assurance processesfor 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, orentrepreneurship ecosystem program
- Experience working with primary and secondary data to generateoperational insights is strongly preferred
- Experience working with field teamsor 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 orTableau
- Familiarity with MIS platforms and survey tools
- Ability to conduct statistical and cohort analysis
- Strong ability to translate data intoclear 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 acrossecosystems.
- All relevant stakeholders’ teams receive timely insights onpartner and ecosystem performance.
- Early signals of program challenges are identified and addressedproactively.
- Data and field insights inform program improvements and ecosystemstrategy.