Mới Sustainability Data Analyst

Sucden Coffee Việt Nam; United States; Remote; USD 70,000 - 100,000; Full time

Job summary

A leading company in coffee sustainability is seeking a data specialist to design and manage data architectures and optimize databases related to sustainability and supply chain processes. The role involves leveraging advanced tools like QGIS and Python for data analysis and visualization, promoting decision-making, and ensuring compliance with best data governance practices. Candidates should have strong experience in data management and the ability to work collaboratively with various teams.

Qualifications

• Strong experience in data management and analysis.
• Proficient in geospatial tools and database optimization.
• Ability to develop automated workflows and analyze large datasets.

Responsibilities

• Design and maintain data architectures for sustainability datasets.
• Conduct remote sensing analyses to assess sustainability metrics.
• Collaborate with cross-functional teams to ensure data integrity.

Skills

Data Architecture

Database Optimization

Data Validation

Geospatial Analysis

ETL Processes

Tools

QGIS

Google Earth Engine

GDAL

Python

Job description

• 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.