Data Verification Analyst

ABOUT US

Climate Impact Partners is the trusted partner for organizations taking ambitious climate action. Since 1997, we’ve helped leading businesses reduce or remove more than 151 million tonnes of CO₂e, turning climate ambition into measurable results.

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

As a Data Verification Analyst with Climate Impact Partners, you will play a crucial role in making sure the data behind Project Aranya is accurate, complete and credible. Project Aranya is a large-scale afforestation and reforestation project across several districts of Madhya Pradesh, delivered with three Project Implementation Partners (PIPs) who record field activity through KoboToolbox.

You will verify the data our partners submit across 11 individual-level and 5 community-level Kobo forms, check it against land records and supporting evidence, and make sure every record meets our data quality standards before it is accepted. With a high volume of resubmissions expected, you will keep the review cycle moving and meet the 7-day turnaround we commit to our partners.

The position requires a sharp eye for detail, sound judgment and the discipline to work through large datasets at pace. You will receive a starter pack and training covering our data screening procedures, the critical data points for each Kobo form, common error scenarios and the corrective actions for partners.

RESPONSIBILITIES

Data verification

Assessing data: Analyzing all Kobo datasets submitted by our partners and checking them for accuracy, completeness and consistency.

Verifying records and detecting anomalies: Checking submitted data against source documents such as Khasra records and the MP Bhulekh land records portal, and flagging any anomalies.

Checking documents and photos: Reviewing all documents uploaded through Kobo for completeness and all photos for appropriateness.

Meeting turnaround times: Reviewing 100% of the data submitted by partners in the previous week within 7 days.

Partner corrections

Supporting corrections: Flagging errors so partners can correct them, under the guidance of the Project Data and Reporting Analyst.

Reviewing resubmissions: Assessing corrected submissions and accepting each Kobo entry only when it is free of errors and meets our data quality requirements.

Reporting

Daily Progress Report: Reporting major findings and data discrepancies at the end of each day, including the status of work done, data assessed and verified, and data corrected by partners.

Weekly Progress Report: Summarizing common data errors, major observations, data discrepancies and any automated checks to be deployed.

Continuous improvement

Developing our methodology: Contributing to the development of a data verification strategy and automated checks.

Data integrity

Protecting data quality: Never modify or edit partner data directly without approval.

Maintaining confidentiality: Keeping all project data confidential and never sharing it with third parties.

WHAT WE ARE LOOKING FOR

Qualifications

A degree in a relevant field such as statistics, data science, environmental science, forestry, agriculture or rural development, or equivalent professional experience.

Knowledge and Experience

Data quality assurance: Demonstrated experience verifying, cleaning or quality-checking field data, ideally on community, natural resource or development programs.

Digital data collection: Hands-on experience with KoboToolbox or similar tools such as ODK or SurveyCTO.

Spreadsheet skills: Proficiency in Microsoft Excel, including filters, pivot tables, lookups and conditional formatting, to review large datasets efficiently.

Land records: Familiarity with Madhya Pradesh land records, including Khasra documents and the MP Bhulekh portal.

Languages: Ability to read and work in Hindi and English.

Nice to have

Sustainability and Climate Knowledge: Familiarity with climate action, carbon markets, and sustainability initiatives, and a passion for purpose-driven work.

Forestry projects: Experience with afforestation, reforestation or agroforestry projects.

Automation: Experience using Python, R, Power Query or similar tools to automate data checks.

Soft Skills

Attention to detail: A methodical approach that spots errors, gaps and inconsistencies others miss.

Clear Communication: Excellent written and verbal communication skills, capable of explaining errors and corrective actions clearly to partners and colleagues.

Relationship Building: Strong interpersonal skills, with an ability to work constructively with implementation partners while holding them to agreed quality standards.

Judgment and Problem-Solving: Ability to exercise discretion, navigate uncertainty and escalate issues appropriately.

Time Management: Ability to prioritize a high volume of submissions and consistently meet deadlines.

Values Alignment

Alignment with company values of ambition, integrity, innovation, and service, with a demonstrated commitment to leveraging your role to drive positive impact and meaningful change.

PERKS

We partner with Velocity Global to offer you the best benefits and employment practices in your home location. Some of our global benefits include:

• Remote working

• Generous annual leave

• 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)

• Mental Health First Aiders

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.