Data Analyst

ABOUT US

Climate Impact Partners delivers solutions for climate action. We are carbon market specialists and a go-to partner for every stage of the net zero journey.

With over 25 years of industry experience and fuelled by a relentless drive for rapid action and results, we have made it our mission to urgently ensure a thriving future for all life on earth.

We do this by providing an end-to-end service that delivers high-quality, thoroughly vetted climate projects which reduce carbon emissions, improve health and livelihoods, and enhance biodiversity.

Together with our clients and project partners we have been responsible for the reduction or removal of more than 144 million tCO2e.

What sets us apart:

· Boundless, urgent ambition. We are accountable, relentless, resilient.

· Courage to innovate. We are courageous, creative, curious.

· Integrity without compromise. We are trustworthy, credible, committed.

· Empowered to serve. We are respectful, inclusive, collaborative.

THE ROLE

We are seeking a Data Analyst to join our Carbon Project Delivery team. In this role you will lead data management and analysis for individual projects while driving consistency in data quality, reporting, and insights generation across all projects. Additionally, you will support the design and onboarding processes for new projects by ensuring data systems and processes are operationally ready and aligned with portfolio standards. You will work closely with project managers, technical teams, and external partners to deliver high-quality data insights that enable impactful climate solutions and meet our commitments to clients and stakeholders.

Climate Impact Partners offers a unique opportunity to make a tangible impact in the voluntary carbon market by enabling high-quality project delivery and innovation in a dynamic, purpose-driven environment.

RESPONSIBILITIES

Data Analysis and Insights Generation

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• Drivedata analysis for the portfolio of projects, transforming raw project datainto actionable insights to support decision-making and ensure successfulproject implementation and issuance of carbon credits.
  
  
  
• Analysetrends in key project indicators, such as tree planting survival rates,plant mortality, and other project performance metrics and provideactional recommendations.
  
  
  
• Developand implement creative methodologies to identify patterns, trends, andanomalies in project performance, providing recommendations forimprovement.
  
  
  
• Producehigh-quality analytical reports, dashboards, and visualizations thatcommunicate findings effectively to project managers, partners, and seniorleadership.
  
  
  
• Collaboratewith project managers and technical teams to define and track criticalKPIs for monitoring project success and identifying early risks.
  
  
  
• Createand manage data collection forms (e.g., KoboToolbox, XLS forms), ensuring seamlessintegration between collection tools and database, and support trainingand creation of training materials for field teams as needed
  

Data Management and Quality Assurance

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• Conductrobust data cleansing and quality assurance to ensure accuracy,consistency, and completeness of project datasets.
  
  
  
• Manageand organize data intake processes from the field, ensuring consistent andtimely data submission across all projects.
  
  
  
• Workwith implementation partners to streamline data collection processes andimplement best practices for field data submission, including the use ofdigital and remote data tools where applicable.
  
  
  
• Supportthe development and use of automated systems for monitoring projectperformance, leveraging tools such as Excel, Power BI, and GIS-basedsoftware.
  

Portfolio-Wide Data Reporting and Compliance

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• Contribute to biannual and annual project reporting by delivering data-driven analysis and visualizations that align with client expectations and compliance standards.
  
• Provide accurate and timely inputs for client-facing reports, ensuring high-quality insights and trend summaries to demonstrate progress.
  
• Collaborate with internal teams to maintain and improve data storage systems, ensuring data accessibility, security, and integrity.
  

Process Improvement and Best Practices

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• Develop tools, templates, and standardized processes to ensure consistent data management and analysis practices across the portfolio.
  
• Identify opportunities to enhance the use of data within the team, incorporating innovative tools or techniques to improve efficiency and accuracy.
  
• Support the operationalization of SOPs, ensuring data-related processes (e.g., risk registers, milestone tracking, and performance reporting) are optimized and embedded across projects.
  

Cross-Functional Collaboration

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• Work closely with project managers, technical teams, and implementation partners to understand project needs and provide tailored data insights.
  
• Support project onboarding processes by reviewing and aligning data collection, management, and reporting systems with project requirements.
  
• Facilitate knowledge sharing across the team, helping build capacity in data analysis and visualization best practices.
  

WHAT WE ARE LOOKING FOR

Experience and Skills

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• Proven experience in data analysis, preferably within the sustainability sector, forestry, or carbon markets.
  
• Strong expertise in managing large datasets, data cleansing, and applying analytical techniques to uncover trends and insights.
  
• Proficiency in tools such as Excel, R, Python, SQL, or other relevant data analysis software.
  
• Proven experience with data visualization (e.g., PowerBI, Tableau, PowerPoint).
  
• Experience working with field data collection processes and digital tools such as KoboToolbox, ODK, XLSForm (Experience with Monday.com and GIS tools is a bonus).
  
• Ability to produce clear, concise, and impactful reports and visualizations tailored to different stakeholders.
  
• Strong attention to detail, with excellent problem-solving skills and the ability to identify patterns and trends in complex datasets.
  

Preferred Skills

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• Familiarity with forestry project data, including metrics such as plant mortality, tree growth rates, and carbon stock measurements.
  
• Experience working with carbon registries or environmental compliance documentation.
  
• Knowledge of statistical modelling, geospatial analysis, or machine learning techniques.
  

Personal Attributes

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• Proactive and self-motivated, with a solution-oriented mindset and a commitment to continuous improvement.
  
• Strong organizational and time management skills, with the ability to manage multiple priorities and deliver under tight deadlines.
  
• Excellent communication and interpersonal skills, with the ability to explain complex data insights to both technical and non-technical audiences.
  
• A collaborative team player, willing to work across diverse teams and support project partners as needed
  

PERKS 

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• Hybrid working
  
• 25 days paid holiday
  
• Private Health Insurance (we've teamed up with Vitality to offer you a wide range of perks, including free coffees, travel deals, and gym discounts)
  
• Enhanced Pension Scheme
  
• Bonus Scheme (subject to company and individual performance)
  
• Enhanced Parental Leave
  
• Green Commute Bike Scheme
  
• LinkedIn Learning License & Professional Training Budgets
  
• Summer Fridays (start your weekend early if you've finished everything on your to-do list)
  
• Working from Abroad (up to 4 weeks a year)
  
• Global Volunteering Day
  
• Modern, state of the art office in Paddington, London, which is dog friendly and includes showers, a mother's feeding room, a wellness room and barista coffee bar.
  

Climate Impact Partners is an equal opportunities employer. Our goal is to be a diverse and inclusive workforce, that embraces our differences, and so all aspects of employment including the decision to hire and promote, will be based on merit, competence, performance, and business need. We do not discriminate on the basis of characteristics protected under federal, state, or local law. To support this, all applications are anonymised until the interview stage which means that regardless of who has applied, your characteristics are totally anonymous.