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.