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S&P Global

Delivers credit ratings, market data, indices

Technology & Policy Analyst - Energy Transition

Data ManagementPosted on Nov 11
Full-timeGurugram, Haryana, IndiaNo salary listedIn-person

About the Job

Requirements

  • Typically have at least 3 years of experience in renewable energy, energy storage, power markets, market research, consulting, or a related industry.
  • Have prior exposure to energy markets or infrastructure through education or work experience and a solid grasp of energy transition dynamics.
  • Have a degree in a quantitative field, such as economics, engineering, or data science.
  • Have strong working knowledge of programming and data tools for data extraction, transformation, and automation, and a strong grasp of visualization principles, including clarity, consistency, and comparability.
  • Keep shared datasets and outputs clean through structured, detail-oriented work.
  • Communicate clearly and pragmatically and take feedback constructively.
  • Work independently while building relationships across a global team of analysts, data, and product colleagues.

Responsibilities

  • Aggregate and manage diverse datasets, keeping them consistent, traceable, and well documented, and safeguard data quality through validation, cross-checking, and triangulation.
  • Produce clear, high-impact visualizations with transparent assumptions and reproducible logic.
  • Where possible, build and automate data pipelines and content-generation workflows so outputs scale.
  • Connect datasets across markets, technologies, and value chains to surface emerging patterns, gaps, and implications.
  • Formulate short, fast, and impactful analysis of recent trends and how they affect the wider energy system.
  • Support fast-turnaround outputs with reliable, scalable data inputs, working across analyst, data, and product teams worldwide.

Desired Qualifications

  • Have familiarity with Snowflake, Databricks, or similar data platforms.
  • Have experience improving workflows, automation, or data processes.
  • Understand what AI can and cannot do, treat AI outputs as hypotheses to test through triangulation and dataset checks, and recognize that designing the full task context—data, assumptions, constraints, and sources—matters more than prompting alone.
  • Connect signals across markets, technologies, and value chains to find patterns and gaps rather than merely describing trends.
  • Take ownership of decisions and accountability for outputs, recognizing that AI supports the analysis but responsibility remains with the employee.
  • Recognize the limits of analysis and tools, distinguish plausible outputs from correct ones, and work across teams to source data, align assumptions, and improve outputs.

About the Company

S&P Global

Delivers credit ratings, market data, indices

S&P Global provides financial information and analytics for investors, corporations, and governments, including credit ratings, market data, and indices. It compiles large financial data, conducts research, and offers analytics, ratings, and benchmarks accessed via subscriptions, licenses, or transaction-based services. The company differentiates itself with an integrated suite that covers ratings, data, analytics, indices, and ESG solutions across global markets, backed by well-known brands. Its goal is to help clients make informed decisions, manage risk, and drive growth while prioritizing corporate responsibility.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1917

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