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Data Analyst
Yara · Singapore
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Job description
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Date posted: Jun 18, 2026
Location:
Singapore, SG
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Area of Expertise: Digital Farming
Job Type: Permanent
Work mode (place): On site
Job Requisition ID: 25185
Data Analyst
We at Yara are part of a global network, collaborating to profitably and responsibly solve some of the world's key challenges - resource scarcity, food insecurity and environmental change.
About the Unit
Yara grows knowledge to responsibly feed the world and protect the planet, to fulfill our vision of a collaborative society, a world without hunger and a planet respected. To meet these commitments, we have taken the lead in developing digital farming tools for precision farming and work closely with partners throughout the whole food value chain to develop more climate-friendly crop nutrition solutions. In addition, we are committed to working towards sustainable mineral fertilizer production. We foster an open culture of diversity and inclusion that promotes the safety and integrity of our employees, contractors, business partners, and society at large. Founded in 1905 to solve the emerging famine in Europe, Yara has a worldwide presence of about 17,000 employees and operations in over 60 countries.
Responsibilities
Technical Implementation & Development
Produce advanced data analysis using SQL, Python, PowerBI, and Metabase following best practices
Independently plan and develop data product features with minimal direction
Quantify end-to-end customer journey using advanced analytical techniques to increase conversion
Analyze user behavior patterns, conversion funnels, and customer segmentation
Dashboard & Report Development
Define complex business problems from technical and analytical perspectives
Translate business requirements into comprehensive BI solutions (interactive dashboards, automated reports)
Build and maintain automated reporting solutions delivering consistent, timely insights
Develop analytical frameworks and methodologies independently
Data Communication & Presentation
Communicate and storytell results to stakeholders effectively, driving understanding and action
Create proactive business insights and share actionable recommendations influencing strategy
Build strong relationships with stakeholders across different business units
GenAI & ML Experience
Proven expertise in Machine Learning & ML-Ops is a big plus
Experience working with LLM implementation and quality management is strongly preferred
AWS Bedrock hands-on experience and/or similar experience is a major plus
Project Coordination & Delivery
Act as key point of contact for specific markets organizing data-related project pipelines
Coordinate with data engineering, development, and product teams defining data requirements
Proactively ensure and govern data quality across datasets
Troubleshoot complex data quality issues, identifying root causes and scalable solutions
Data Quality Management & Monitoring
Monitor data quality metrics and alert senior team members to potential issues requiring investigation
Contribute to data quality improvement initiatives by identifying patterns and suggesting process
enhancements
Escalate critical data issues to appropriate team members while providing detailed analysis of impact and
potential solutions
Profile
At least a Bachelor’s degree in a quantitative discipline (e.g., Mathematics, Statistics, Computer Science, Economics) or a closely related field. A Master's degree is a plus.
Demonstrated interest in continuous learning through coursework, certifications, or self-directed study in analytics and data science
At least 3+ years of progressive experience as a Data Analyst or in a similar quantitative, analytical role, demonstrating increasing responsib
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