Outcome Analyst Lucknow
Job Summary
Position Summary:
To further Wadhwani Foundations 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
Bachelors or masters degree in economics Development Studies Public Policy Data Analytics Statistics or related fields
35 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.
Required Skills:
Job Description: Data Analyst/Data Engineer (2 Years Experience) Type: Full-time About the Role We are looking for a highly motivated Data Analyst / Data Engineer with 2 years of experience in data transformation analysis and visualization. The ideal candidate should have a solid understanding of SQL data modeling ETL processes and business intelligence tools. You will work on designing building and optimizing datasets and analytical solutions for e-learning and business intelligence reporting. Key Responsibilities Design and develop data pipelines for ingestion transformation and reporting using SQL and Python. Create and maintain analytical tables views and materialized views for dashboarding and advanced analytics. Perform in-depth data analysis and validation to ensure data integrity and accuracy. Collaborate with stakeholders to translate business requirements into technical solutions. Develop interactive dashboards and reports using tools like Power BI or Tableau. Optimize database performance (indexing partitioning query tuning). Work closely with the data engineering team to improve ETL workflows and data quality monitoring. Required Skills & Qualifications 24 years of professional experience in data analytics or data engineering. Strong proficiency in SQL (PostgreSQL MySQL). Experience with ETL tools (Airflow Dataform or custom Python pipelines). Working knowledge of Python (Pandas NumPy) for data transformation. Experience with data visualization tools such as Power BI Understanding of data modeling concepts (star/snowflake schema). Familiarity with cloud databases (Azure GCP) preferred. Strong analytical mindset and ability to work independently. Good-to-Have Experience with BigQuery Azure Data Studio or dbt. Exposure to API-based data extraction and automation workflows. Knowledge of data governance and version control (Git). Interest in LMS analytics e-learning data or edtech domain. What Youll Gain Opportunity to work on end-to-end analytics lifecycle from data ingestion to visualization. Exposure to enterprise-level data ecosystems and reporting architectures. Learn modern data engineering best practices and cloud integrations. Work on projects impacting learning outcomes and education insights at scale.
Required Education:
MBA