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Carnelian Verified
Private Equity, Financial Services, Energy

Data & QA Analyst — Impact Investing

RemoteRemoteFull TimePosted 15 days ago

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Required skills

  • impact investing
  • ESG
  • sustainability
  • data quality
  • research validation
  • analytical consistency
  • quality assurance
  • data-driven products
  • data standards
  • quality-control procedures

Nice to have

  • responsible investing
  • sustainable investing
  • financial research
  • philanthropy
  • nonprofit analysis
  • social-impact measurement

Role summary

Seeking a part-time, remote Data & QA Analyst with an interest in impact investing, ESG, and sustainability. This role focuses on ensuring data quality, validating research, and maintaining analytical consistency across data products and processes. Responsibilities include reviewing and validating financial, ESG, and impact data, developing test cases, identifying data issues, and collaborating with research and technical teams. Experience with spreadsheets and data analysis is expected, with familiarity in SQL, Python, or statistical tools being a plus. Excellent English communication skills are required.

Role Overview

We are looking for a Data & QA Analyst with a background or strong interest in impact investing, ESG, sustainability, and related financial or social-impact research.

The role will focus on data quality, research validation, analytical consistency, and quality assurance across data-driven products and processes.

30 hrs/week

Start: mid-September

Location: U.S. or Europe

Responsibilities

  • Review and validate financial, ESG, impact, and organizational data.
  • Assess the quality, completeness, and consistency of collected information.
  • Support the development and testing of analytical and scoring methodologies.
  • Identify data issues, inconsistencies, edge cases, and areas requiring further research.
  • Perform quality assurance on analytical outputs, reports, and datasets.
  • Develop test cases and benchmark examples for validating data and analytical processes.
  • Support ongoing improvements to data standards and quality-control procedures.
  • Work closely with research and technical teams to investigate and resolve data-quality issues.
  • Document findings, assumptions, and quality-control results.

Preferred Background

  • Impact investing
  • ESG or sustainability
  • Responsible or sustainable investing
  • Financial research
  • Philanthropy or nonprofit analysis
  • Social-impact measurement
  • Economics, finance, public policy, or related fields

Experience with spreadsheets and data analysis is expected. Familiarity with SQL, Python, or statistical tools is a plus. Excellent written and verbal communication skills in English are required.

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