Program Analyst– WEN Accelerate Program

Wadhwani Foundation; New Delhi; Hybrid; INR 2,202,643 - 3,083,700; Full time

Job summary

A leading non-profit organization in India is looking for a Program Analyst for their Accelerate Program. The role focuses on analyzing job creation potential across sectors using data models and frameworks. Candidates should have 3–5 years of experience in data analysis or related fields, along with strong Excel and data visualization skills. This full-time position offers a flexible location with potential travel as needed.

Qualifications

• 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.

Responsibilities

• Develop frameworks to project potential job creation across different sectors.
• Support the Selection Manager in refining the venture evaluation scorecard.
• Provide recommendations on shortlisting ventures with high job-creation potential.
• Track employment multipliers across sectors and prepare regular insights.
• Create dashboards to track job creation metrics across hubs.

Skills

Data analysis

Impact measurement

Management consulting

Familiarity with Power BI, R, or Python

Job description

Join to apply for the Program Analyst– WEN Accelerate Program role at Wadhwani Foundation

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

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 models. Build predictive models and benchmarks using company‑level inputs (revenue, stage, business model, etc.).
2. Support the Selection Manager in refining and applying the venture evaluation scorecard with a jobs-centric lens.
3. Provide data-driven recommendations on shortlisting ventures with high job-creation potential.
4. 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.
5. Create dashboards to track job creation metrics over time across hubs and cohorts.
6. Work closely with ecosystem managers to validate projections vs actuals.
7. 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.

Seniority level

• Associate

Employment type

• Full-time

Job function

• Education

Industries

• Non-profit Organizations