Outcome Analyst - Noida

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

5. Continuous Improvement & Program Learning

6. Data Quality & Compliance

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

What Success Looks like