Role summary:

This role sits at the analytical core of a storage-focused energy engagement. We're looking for someone with real hands-on experience building financial and technical models for battery storage deployment, not a broad renewable-energy analytics generalist, but someone who brings deep quantitative rigor to how storage scales in India, from day one.

Reports to:

Operations leadership

Engagement type:

Full-time

Key responsibilities:

Technical modeling:

- Build and maintain financial and technical models for battery storage deployment: sizing, siting, cost-benefit analysis, and payback/ROI projections, tailored to specific client and site constraints.

- Run scenario analyses modeling outcomes under different storage capacities, renewable integration levels, or regulatory conditions, to inform both internal strategy and client-facing proposals.

- Translate raw market and operational data, such as load curves, tariff structures, and technical constraint points, into clear, decision-ready storage recommendations.

Engagement & feasibility support:

- Support feasibility studies for new storage pilots, working directly with field and technical teams to ensure models reflect real deployment conditions rather than theoretical assumptions.

- Maintain dashboards and trackers on active storage pilot performance, cost trends, and technology benchmarks across sites.

- Contribute technical input to playbooks and best-practice documentation intended to be replicated across other engagements.

Stakeholder-facing analysis:

- Prepare data-driven presentations and briefing materials for internal leadership and client counterparts.

- Present and defend technical recommendations directly to non-technical senior stakeholders in a way that's clear without being oversimplified.

Market awareness:

- Stay current on battery storage technology developments, cost curves, and regulatory changes relevant to the Indian power market.

- Proactively flag how market or regulatory shifts should change existing models or recommendations, rather than waiting to be asked.

Requirements:

- Degree in engineering, data science, or a quantitative field; power systems specialization strongly preferred.

- 5+ years with hands-on focus on battery storage analysis, power-sector analytics, or closely related technical consulting.

- Demonstrated depth in storage-specific modeling strongly preferred; candidates with strong power-sector quantitative backgrounds and partial or adjacent storage exposure are also worth a conversation.

- Working understanding of the Indian power/storage regulatory and tariff landscape.

- Advanced financial/quantitative modeling skills, ideally tested against real, not purely academic, storage projects.

- Ability to work directly and credibly with technical engineering staff, not only with policy or strategy-level counterparts.

- Full-time, office-based in Delhi, not a remote or part-time arrangement.