At a Glance
- Tasks: Validate and ensure high-quality data for climate risk insights.
- Company: Join Climate X, a leader in climate risk intelligence.
- Benefits: Gain hands-on experience, develop skills, and contribute to meaningful projects.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real impact on climate change solutions while enhancing your analytical skills.
- Qualifications: Experience in data validation and strong analytical skills required.
The predicted salary is between 20000 - 30000 £ per year.
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.
Data Research Intern employer: Climate X
At Climate X, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Our commitment to employee growth is evident through continuous learning opportunities and a supportive environment that encourages innovation and collaboration. Located in a dynamic sector focused on sustainability, we offer unique advantages for those passionate about making a meaningful impact in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Data Research Intern
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their mission and values, especially around climate risk intelligence. We want you to show them you’re not just another candidate, but someone who truly gets what they do.
✨Tip Number 3
Practice your data validation skills! Use sample datasets to hone your analytical abilities. We believe that demonstrating your technical competency during interviews can really set you apart from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Data Research Intern
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Research Intern. Highlight any experience you have in data validation, QA, or using tools like Excel and AI. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about climate risk intelligence and how your background makes you a great fit for our team. Keep it concise but impactful – we love a good story!
Show Off Your Analytical Skills:In your application, don’t forget to showcase your analytical skills and attention to detail. Mention specific examples where you've successfully validated data or solved complex problems. We’re all about those real-world experiences!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Climate X
✨Know Your Data
Before the interview, brush up on your data validation and QA skills. Familiarise yourself with common data issues and how to troubleshoot them. Being able to discuss specific examples of how you've identified inaccuracies or improved workflows will show your analytical prowess.
✨Excel is Your Best Friend
Make sure you're comfortable with Excel, especially PivotTables and lookups. You might be asked to demonstrate your skills or solve a problem on the spot, so practice using these tools beforehand. If you can, try to incorporate PowerQuery into your prep as well!
✨Communicate Clearly
Since the role involves cross-functional collaboration, practice articulating your thoughts clearly. Prepare to explain complex data issues in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Show Your Curiosity
Demonstrate your willingness to learn, especially regarding AI tools like ChatGPT or GIS software. Be ready to discuss how you’ve used technology in past roles to enhance your work. Showing enthusiasm for continuous improvement can set you apart from other candidates.
