1xbetSustainability Data Analyst

Duties and Responsibilities

DATA MANAGEMENT

• Design and maintain data architectures to efficiently manage sustainability and supply chain datasets.

• Develop and optimize databases for farmer registration, traceability, and sustainability impact monitoring.

• Validate, consolidate, and analyze large datasets, including geospatial and farm-level data, ensuring accuracy and compliance.

• Leverage ODK (Open Data Kit) to streamline data collection processes.

• Assess geolocation data quality, identify discrepancies, and implement corrective measures.

• Standardize data management processes and documentation to ensure consistency across global and country-level teams.

AUTOMATION & PROCESS OPTIMIZATION

• Develop and implement automated validation workflows to enhance data integrity and streamline compliance checks.

• Collaborate on the development and deployment of a global farmer database, including system architecture, service provider selection, and implementation.

• Maintain and continuously improve database functionality by incorporating feedback from sustainability teams.

• Establish ETL (Extract, Transform, Load) pipelines to automate data ingestion and transformation processes.

REMOTE SENSING ANALYSIS

• Conduct remote sensing analyses using satellite imagery, GIS tools, to assess land use, deforestation risks, and farm-level sustainability metrics.

• Develop and manage business intelligence dashboards for real-time monitoring of key sustainability indicators.

• Utilize QGIS, Google Earth Engine, GDAL, and Python to analyze and visualize geospatial data.

• Provide data-driven insights to support decision-making and reporting on sustainability performance.

TOOLS, TRAININGS & COLLABORATION

• Develop interactive dashboards and analytical tools that empower the sustainability team to access and interpret data effectively.

• Define and document Standard Operating Procedures (SOPs) for data handling, ensuring best practices in data governance.

• Train internal teams on database usage, geospatial analysis, and data management best practices.

• Collaborate with IT, sustainability, and business teams to align data strategies with operational needs.