Global MEL Senior Data Analysis Coordinator at Better Cotton – New Delhi, Delhi
About This Position
Starting Date: ASAP
Contract type: Fixed-term, 9 months with an option to extend for an additional 3 months
Salary: if hired in Delhi, INR 2,642,741
Location: Delhi
Application closing date: 06/02/2026
About the Job
The Senior Data Analysis Coordinator will play a key role in strengthening Global MEL’s data collection, data feedback loops and MEL information systems development, which will support data-driven programmatic learnings and improvements at the field-level. This role supports furthering the organisational and MEL objectives through extensive data management, cleaning, and process improvements to ensure accurate insights and drive continuous learning at the field level.
The Challenge
Looking ahead to 2030, we are targeting reducing GHG emissions from cotton production by half, big cuts in synthetic pesticide use, improve soil health across our network, improve farm income and support women’s empowerment among farmers and farm workers.
As a Senior Data Analysis Coordinator, you will focus on applying high-quality farmer field data to generate actionable insights that support Better Cotton’s 2030 impact ambitions. You will serve as a key point of contact for country teams on agronomical and practice adoption data, enabling effective analysis, visualisation, and interpretation across diverse contexts. Through collaboration, trainings, and targeted support, you will help align country-level implementation with global regenerative practice frameworks. Your work will ensure insights are delivered on time and used effectively by internal teams, partners, and donors to inform decision-making and continuous improvement.
Responsibilities
We are seeking a motivated Senior Data Analysis Coordinator to join our Global Mel team. In this role, you will be responsible for
Supporting agronomical understanding of farmer field data results analysis and reporting Support practice adoption data management process and trainings Support improvements to key MEL monitoring reference documents, technical tools and processes Liaises with programme partners (including MEL and field staff) to support the data management and validation process and drive data quality improvements. Collaborate with programme partners and field staff to understand ground-level realities and strategic needs within the practice adoption workstream. Deliver phase-wise training on practice adoption to field staff in India and Pakistan. Engages with researchers and sectoral sustainability initiatives to share data that contributes to robust research, accurate reporting, and shared learning. Collaborates with in-country MEL, Assurance, Programmes, and Impact to support data feedback loops, informing the relevant focal points when there are important data trends, when data is finalised, and relevant data products are available.Experience
the following skills, knowledge, and experience:
Essential
Minimum 5-6 years working experience in similar roles Degree in environmental or social science, agriculture, agronomy, rural development, Statistics/Mathematics/Economics/Data Quality Practical experience in agronomy, including working with agricultural systems, farm-level data, or crop production contexts. Demonstrated grasp of the key issues in sustainability and/or knowledge of sustainable agriculture, especially in the smallholder farming context Demonstrated experience in MEL, data processing, cleaning and analysis including responsibility for maintaining databases, data structures, templates Experience applying statistics to real-world data analysis and research Experience assessing and improving data quality Strong IT skills, in particular with advanced Excel (PowerQuery, VBA macros), databases, business intelligence, analytics (PowerBI desirable) and programming tools (Python, R and/or SQL), to work with managing large datasets. Background in global programme implementation, and agriculture projects Experience working in international, multicultural, or mission-driven environments.Desirable
Experience in applying agronomic understanding of cotton production systems to the analysis, interpretation, and reporting of farm-level results data. Demonstrated grasp of the key issues in sustainability and/or knowledge of sustainable agriculture especially in the smallholder farming context Experience in creating data visualisation for communication and learning purposes (preferably PowerBI) Experience with impact reporting and creating data visualisation for communications purposes Good working knowledge of statistical analysis software (Python, R) Experience with GIS tools (e.g., QGIS, ArcGIS, or Google Earth Engine) for spatial analysis, mapping, or integrating geospatial data into programme monitoring and generating insights Experience working in or facilitating learning in an international, multi-cultural or mission-driven setting is an assetWhat we offer
- Competitive salary
- Hybrid working – Two to three days/week in the office in Delhi
- The opportunity to work from anywhere in the world for up to one month per year
- Flexible working, with core hours from 10 am to 4 pm local time
- Continuous learning and development
- Pension scheme
- A generous annual leave package, including paid holiday, public holidays, additional paid days off during the festive season, study and exam days, and extra discretionary leave for life events such as family weddings or moving home
- Enhanced parental benefits
- The opportunity to make your mark and make a difference.
Working arrangements
The position is full-time (40 hours per week) and will be based in Delhi. Better Cotton Initiative offers flexible working, with core hours being 10 am – 4 pm. The position will potentially require limited travel.
Apply now
Send us your CV (2 pages maximum) and a brief cover letter (1-page maximum) by or before 06.02.2026 via the application.
In your cover letter, please include an explanation of why your experience is specifically relevant to this role at Better Cotton Initiative. We want to see your personal style – what makes you tick and why you think your next opportunity is here with us.
Better Cotton Initiative does not use artificial intelligence or automated screening tools in its hiring process. Every application is reviewed by our People & Culture team and relevant hiring managers to ensure a fair and human-led assessment experience.
Our hiring process
Initial Screening:
Applicant screening is a crucial step in our recruitment process. This stage may involve a brief phone interview or video call to evaluate your suitability for the position. During this screening, we review resumes and cover letters, and may conduct initial background checks to narrow down the pool of applicant. Internal candidates are encouraged to inform their line manager about their application to promote transparency and help facilitate a smooth transition if selected.
Interviews:
If you successfully pass the initial screening, you will be invited for interviews. The interview process at Better Cotton Initiative may include one or more rounds of interviews with various stakeholders, such as the hiring manager, team members, and potentially senior management. As an internal candidate, you may have discussions regarding your current responsibilities and how they will transition to the new position.
Assessment and Testing:
Depending on the role, you might be required to complete assessments, technical tests, or skills evaluations to gauge your competency and suitability for the position. Internal candidates may have the option to demonstrate their existing skills through current job performance or past project outcomes.
Reference Checks:
Once you progress further in the process, reference checks are conducted to validate your work history, skills, and qualifications, and for some roles, your education and criminal history. Internal candidates may be asked for references from current or previous supervisors within Better Cotton Initiative to provide insights into their performance and capabilities.
Offer stage:
After completing interviews, assessments, and reference checks, the hiring team evaluates your performance and fit for the role. If you are selected and your references are relevant and satisfactory, you will receive a formal job offer letter outlining the terms of employment, compensation, benefits, and any other relevant details. For internal candidates, the offer process may include a discussion about how your transition to the new role will be managed and any support needed for a smooth handover.
About Better Cotton Initiative
Better Cotton Initiative is a global not-for-profit organisation supporting the production of more equitable and sustainable cotton at farm level. We exist to catalyse the cotton farming community with partners, governments and others to continuously drive positive impact by setting standards and facilitating the supply and demand of more sustainable cotton from farm to brand. In just 15 years we have aligned more than a fifth of the world’s cotton with our standard and helped farmers and farming communities thrive. Join us in building a better, more sustainable future for cotton worldwide.
About our Values
The post holder will be expected to operate in line with our workplace values which are:
Trustworthy (including honest, transparent, credible) As having Integrity (including responsible, authentic) Positive (including problem-solving, pragmatic) Engaging (including adaptable, inclusive, holistic) Daring (including courageous, innovative, game-changing)Being you @ Better Cotton Initiative
Better Cotton Initiative is committed to creating a diverse environment and is proud to be an equal opportunity employer with a strong commitment to good practice and transparency in the management of natural, human, and financial resources.
We have a zero-tolerance approach to any attitudes or behaviours that put children or adults at risk of harm. Safeguarding incidents are acts of serious misconduct and are grounds for disciplinary action, up to and including, dismissal and referral to relevant authorities for criminal prosecution. Therefore, all offers of employment are subject to satisfactory references and appropriate screening checks.