Program Analyst WEN Accelerate Program
Program Analyst WEN Accelerate Program
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Job Description
Job Title: Jobs Projection Analyst / Program Analyst WEN Accelerate Program
Location: Flexible (with travel to hubs as needed)
Reports to: Head of Accelerate Program
Collaborates with: Selection Manager Program Manager Ecosystem Portfolio Managers Venture Sourcing Teams
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Role Overview:
The Jobs Projection Analyst plays a critical role in ensuring that Wadhwani Foundation s Accelerate program delivers on its mission of high-quality job creation through scaling of startups and SMEs. This role combines macro-level research venture-level diligence and data modeling to guide venture selection and track job creation trajectories over time. The analyst will develop and maintain scoring models predictive frameworks and decision-support tools to ensure every portfolio selection is aligned to long-term employment outcomes.
The analyst will also be responsible to study hub ecosystems in details at a sector level to identify future job creating sectors. Would also be studying the spokes for each hub to identify regional coverage
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Key Responsibilities:
1. Job Creation Modeling:
Develop frameworks to project potential job creation across different sectors geographies and business predictive models and benchmarks using company-level inputs (revenue stage business model etc.).
2. Venture Scorecard & Diligence:
Support the Selection Manager in refining and applying the venture evaluation scorecard with a jobs-centric lens.
Provide data-driven recommendations on shortlisting ventures with high job-creation potential.
3. Macro & Sectoral Research:
Track employment multipliers across sectors such as advanced manufacturing healthtech agri-tech etc. Prepare regular insights on trends policy changes and sector-specific employment dynamics.
4. Portfolio Analytics & Tracking:
Create dashboards to track job creation metrics over time across hubs and cohorts.
Work closely with ecosystem managers to validate projections vs actuals.
5. Internal Decision Support:
Advise the Program Head and Portfolio Managers on cohort mix optimization for achieving annual job targets. Support scenario planning for the 1M jobs goal.
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Desired Skills & Experience:
3 5 years of experience in data analysis impact measurement management consulting research or startup investing.
Exposure to labor market dynamics MSME/startup ecosystem or public policy is a strong plus.
Strong data modeling Excel and visualization skills; familiarity with tools like Power BI R or Python is a bonus.
Comfort with ambiguity and strong business acumen to assess non-obvious job creation potential.
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Key Competencies for Selection:
1. Analytical Rigor: Ability to build robust data-backed models to project employment potential and track outcomes.
2. Business Insight: Understanding of business models scaling levers and how different ventures grow workforce.
3. Communication & Storytelling: Can translate complex data into clear insights for internal and external stakeholders. Has strong working skills of dashboard tools like power BI
4. Curiosity & Sectoral Research Ability: Hunger to understand emerging job-rich sectors and keep learning.
5. Collaborative Execution: Works effectively across functions selection sourcing hub managers to influence decisions.
Job Title: Jobs Projection Analyst / Program Analyst WEN Accelerate Program Location: Flexible (with travel to hubs as needed) Reports to: Head of Accelerate Program Collaborates with: Selection Manager, Program Manager, Ecosystem Portfolio Managers, Venture Sourcing Teams --- Role Overview: The Jobs Projection Analyst plays a critical role in ensuring that Wadhwani Foundation s Accelerate program delivers on its mission of high-quality job creation through scaling of startups and SMEs. This role combines macro-level research, venture-level diligence, and data modeling to guide venture selection and track job creation trajectories over time. The analyst will develop and maintain scoring models, predictive frameworks, and decision-support tools to ensure every portfolio selection is aligned to long-term employment outcomes. The analyst will also be responsible to study hub ecosystems in details at a sector level to identify future job creating sectors. Would also be studying the spokes for each hub to identify regional coverage --- Key Responsibilities: 1. Job Creation Modeling: Develop frameworks to project potential job creation across different sectors, geographies, and business predictive models and benchmarks using company-level inputs (revenue, stage, business model, etc.). 2. Venture Scorecard & Diligence: Support the Selection Manager in refining and applying the venture evaluation scorecard with a jobs-centric lens. Provide data-driven recommendations on shortlisting ventures with high job-creation potential. 3. Macro & Sectoral Research: Track employment multipliers across sectors such as advanced manufacturing, healthtech, agri-tech, etc. Prepare regular insights on trends, policy changes, and sector-specific employment dynamics. 4. Portfolio Analytics & Tracking: Create dashboards to track job creation metrics over time across hubs and cohorts. Work closely with ecosystem managers to validate projections vs actuals. 5. Internal Decision Support: Advise the Program Head and Portfolio Managers on cohort mix optimization for achieving annual job targets. Support scenario planning for the 1M jobs goal. --- Desired Skills & Experience: 3 5 years of experience in data analysis, impact measurement, management consulting, research, or startup investing. Exposure to labor market dynamics, MSME/startup ecosystem, or public policy is a strong plus. Strong data modeling, Excel, and visualization skills; familiarity with tools like Power BI, R, or Python is a bonus. Comfort with ambiguity and strong business acumen to assess non-obvious job creation potential. --- Key Competencies for Selection: 1. Analytical Rigor: Ability to build robust, data-backed models to project employment potential and track outcomes. 2. Business Insight: Understanding of business models, scaling levers, and how different ventures grow workforce. 3. Communication & Storytelling: Can translate complex data into clear insights for internal and external stakeholders. Has strong working skills of dashboard tools like power BI 4. Curiosity & Sectoral Research Ability: Hunger to understand emerging job-rich sectors and keep learning. 5. Collaborative Execution: Works effectively across functions selection, sourcing, hub managers to influence decisions.
Education
B. Tech
Employment Type
Full Time
