Carnelian

Carnelian

·yesterday

Data & qa analyst — impact investing

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Location

remote, United States

Commitment

Part Time

Level

Junior (<2 years)

Required skills

Data validationQuality assuranceFinancial researchESG analysisImpact investingSustainabilityData analysisSpreadsheetsSQLPythonStatistical toolsAnalytical consistencyReport writingMethodology testingCommunication skills

Job Description

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.

Ready to join the team?

Apply now

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