Data Research Intern

Summary
Climate X is a leading climate risk intelligence company delivering high-resolution physical risk insights globally. Our product suite empowers organisations to measure, understand and mitigate the impact of climate change on physical assets and operations. We’re hiring a dedicated Data Quality Analyst to validate outputs and ensure the highest standards of data quality.

Responsibilities

Data Validation & Quality Assurance

• Review and validate asset location data against online sources.

• Identify inaccuracies, inconsistencies and edge cases requiring deeper investigation.

• Conduct structured QA audits following established workflows and checklists.

Investigative Analysis

• Troubleshoot anomalies and determine root causes of data irregularities.

• Interpret ambiguous model outputs and apply sound judgment when verifying data.

• Provide clear, structured feedback to improve pipeline logic and validation processes.

Workflow Execution & Improvement

• Follow defined QA processes, including documentation, peer review and escalation paths.

• Suggest refinements to validation workflows and contribute to operational efficiency.

• Maintain comprehensive and clean issue tracking.

Tooling & Technical Competency

• Use AI tools (e.g., ChatGPT) to support validation and cross-checking.

• Use Excel for data manipulation, including PivotTables and lookups (PowerQuery a plus).

Cross-Functional Collaboration

• Communicate clearly with Product and Engineering teams about issues, risks and trends.

• Manage stakeholders across the business when delivering customer data.

• Participate in rapid feedback loops as the product’s logic and capabilities evolve.

Minimum Qualifications

• Experience in data validation, data QA, anomaly detection or related operational roles.

• Experience performing research tasks.

• Strong analytical skills and high attention to detail.

• Proficiency with Excel (PivotTables, lookups; PowerQuery beneficial).

• Familiarity with AI tools such as ChatGPT or similar.

• Excellent written communication skills.

• Ability to follow structured workflows and maintain documentation quality.

Preferred Qualifications

• Experience validating or reviewing data.

• Background in data operations involving complex or evolving datasets.

• Exposure to GIS tools (QGIS, ArcGIS) or willingness to learn.