Solar EYA / Asset Performance & Analytics Lead

GMR Group

Delhi

On-site

INR 1,500,000 - 2,700,000

Full time

14 days+

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Job summary

GMR Group is seeking an experienced Solar EYA / Asset Performance & Analytics Lead to develop bankable energy yield assessments and performance models for utility-scale solar projects. The role demands turning engineering data into financial implications and ensuring forecasts align with financial models, protecting asset value.

This position sits within the Renewables Engineering team, focusing on advanced PV design, losses, and performance tracking, with external lender and IE engagement

Qualifications

  • 5+ years of experience in Solar engineering preferably with an IPP, OEM, renewable energy developer, or technical consultant.
  • Direct experience with lender technical due diligence and IE engagements preferred.
  • B.Tech / M.Tech in Engineering / Energy; additional exposure to data analytics or statistics preferred.

Responsibilities

  • Conduct Solar energy production assessments (P50, P75, P90) and uncertainty analysis.
  • Generate comprehensive pre-construction energy yield reports for internal approvals and external investors/lenders.
  • Conduct sensitivity and uncertainty analysis.
  • Define and validate loss assumptions (DC, AC, availability, degradation).
  • Plant performance modeling, and analytics.
  • Track post‑COD plant performance and PR.
  • Identify underperformance root causes.
  • Create standardized performance dashboards and reports.
  • Support lender due diligence and IE engagements.

Skills

Solar energy analysis
Data interpretation

Education

B.Tech / M.Tech in Engineering / Energy
Data analytics or statistics exposure

Tools

PVsyst

Job description

JOB PURPOSE

We are seeking an experienced and motivated Solar EYA / Asset Performance & Analytics Lead for GMR Renewables Engineering team with 5-10 Years of relevant experience responsible for developing bankable Solar Energy Yield Assessments (EYA), performance models, and analytics frameworks for utility‑scale solar and hybrid projects.

The role ensures accurate generation forecasts, alignment between engineering assumptions and financial models, and continuous feedback from operating assets back into design and technology decisions, thereby protecting project returns and long‑term asset value.

ORGANISATION CHART

CBO- Renewbales└─ Lead Design & Engineering (Solar & Wind)└─ Solar EYA / Asset Performance & Analytics Lead

KEY ACCOUNTABILITIES
  • Conduct Solar energy production assessments (P50, P75, P90) and uncertainty analysis.
  • Generate comprehensive pre-construction energy yield reports for internal approvals and external investors/lenders
  • Conduct sensitivity and uncertainty analysis
  • Define and validate loss assumptions (DC, AC, availability, degradation)
  • Plant performance modeling, and analytics
  • Track post‑COD plant performance and PR
  • Identify underperformance root causes
  • Create standardized performance dashboards and reports
  • Support lender due diligence and IE engagements
KEY ACCOUNTABILITIES - Additional Details
  • Advanced proficiency in PVsyst (mandatory)
  • Strong understanding of: Solar plant design and system losses, Performance Ratio (PR), availability, degradation, Meteorological data, uncertainty analysis
  • Strong understanding of FDRE, RTC, and BESS integration in renewable energy systems.
  • Ability to translate engineering data into financial implications
EXTERNAL INTERACTIONS
  • OEMs, EPC contractors, Lender & Owner’s engineer, technical consultants
INTERNAL INTERACTIONS

CBO, Project development, O&M and Asset Management teams

FINANCIAL DIMENSIONS

As per AOP

OTHER DIMENSIONS

Individual contributor

EDUCATION QUALIFICATIONS
  • B.Tech / M.Tech in Engineering / Energy
  • Additional exposure to data analytics or statistics preferred
RELEVANT EXPERIENCE
  • 5-10 years in Solar engineering preferably with an IPP, OEM, renewable energy developer, or technical consultant.
  • Direct experience with lender technical due diligence and IE interactions preferred
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