Data Analyst and Statistician

Job Title:

Role Summary

Trial Co-Ordinator Data Analyst

Key Responsibilities

A.

• Coordinate and document institutional and in-house regulatory trials (Protocols, proposal letters, MOUs, acceptance letters, final reports) with indication leads.
• Liaise with trial partners (e.g., SAUs, research institutes) to ensure timely initiation and deficiency-free report submissions.
• Support CIB query resolution in coordination with Product Development (PD) teams.
• Assist in planning institutional trial programs for upcoming financial years.
• Coordinate with FD team for sample availability for all trials.
• Coordinate for all PD & AD team on routine operational matters.

B.

• Administrative support to PD leadership team
• Track and manage PD and AD budgets; maintain detailed payment records.
• Ensure institutional payment processes and vendor code creation are completed within defined timelines (e.g., 3 weeks).
• Follow up on GST upload statuses with institutions and stakeholders to close pending uploads within 30 business days.
• Provide quarterly summaries and gap analyses for GST uploads related to released payments.
• Assist in dashboard preparation (e.g., MCM Dashboard-12) and internal reporting as required.

C.

• Work with process-based data analysis tools (e.g., GDC, ARM, Bioanalytic, Python & SPSS) and ensure statistical rigor in outputs.
• Perform spatial and geostatistical analysis on large-scale agricultural and environmental datasets.
• Develop statistical workflows for Monitoring, Reporting, and Verification.
• Automate analytical pipelines using Python for improved reproducibility and efficiency.
• Collaborate with interdisciplinary teams of environmental scientists, agronomists, and data specialists.
• Collaborate with IT team in adoption of digital tools- Signal for inhouse trials.

Required Qualifications

• BSC (Hons) Ag with Masters in Statistics/ Data Science/MCA/Agronomy or a closely related field.
• Expertise in frequentist latest data analytical tools; experimental design, statistical validation techniques, data modelling and visualization.
• Excellent documentation, communication, and cross-functional collaboration skills.
• Demonstrated ability to manage projects, maintain compliance, and drive analytical insights.