Outcome Analyst - Bangalore

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.