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Data Analyst - Job Opportunity at Yara

Singapore, SG
Full-time
Mid-level
Posted: August 21, 2025
On-site
Based on the mid-level requirements, Singapore location, and Yara's position as a global agricultural technology leader, the salary range is likely between SGD 70,000 to SGD 95,000 annually (approximately USD 52,000 to USD 70,000). Singapore's strong demand for data analytics professionals in the agriculture-tech sector, combined with Yara's global presence and the specialized nature of agricultural data analysis, positions this role at the higher end of the market range for mid-level data analysts.

Key Responsibilities

Define complex business problems from technical and analytical perspectives to drive strategic decision-making across the organization
Translate business requirements into comprehensive BI solutions including interactive dashboards and automated reports that directly impact operational efficiency
Build and maintain automated reporting solutions that deliver consistent, timely insights enabling data-driven decision making at scale
Develop analytical frameworks and methodologies independently that establish best practices for the entire data organization
Communicate and storytell results to stakeholders effectively, driving understanding and action that influences business strategy
Create proactive business insights and share actionable recommendations that directly influence strategic planning and execution
Build strong relationships with stakeholders across different business units to ensure data initiatives align with business objectives
Produce advanced data analysis using SQL, Python, PowerBI, and Metabase following best practices to maintain data integrity and accuracy
Independently plan and develop data product features with minimal direction, demonstrating ownership of analytical solutions
Quantify end-to-end customer journey using advanced analytical techniques to increase conversion rates and drive revenue growth
Analyze user behavior patterns, conversion funnels, and customer segmentation to optimize user experience and business performance
Act as key point of contact for specific markets organizing data-related project pipelines to ensure timely delivery of critical insights
Coordinate with data engineering, development, and product teams defining data requirements that support scalable analytics infrastructure
Proactively ensure and govern data quality across datasets to maintain trust in analytical outputs and business decisions
Troubleshoot complex data quality issues, identifying root causes and scalable solutions that prevent future occurrences
Monitor data quality metrics and alert senior team members to potential issues requiring investigation to maintain operational excellence
Contribute to data quality improvement initiatives by identifying patterns and suggesting process enhancements that drive organizational efficiency

Requirements

Education

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

Experience

At least 3+ years of progressive experience as a Data Analyst or in a similar quantitative, analytical role, demonstrating increasing responsibility and complexity of projects

Required Skills

Demonstrated expertise in product analytics, including defining, tracking, and interpreting key performance indicators (KPIs) and user behavior metrics to drive product strategy Track record of delivering analytical projects on time and meeting quality standards Experience with web analytics tools and understanding of digital marketing Proactively identify, thoroughly troubleshoot, and independently provide robust and scalable solutions to complex data quality issues across diverse datasets Expert in performing advanced Exploratory Data Analysis (EDA), identifying patterns, anomalies, and correlations, and translating these into actionable business insights Strong foundation in statistical analysis and ability to apply appropriate statistical methods to business problems Advanced proficiency in SQL, Python, PowerBI, and Metabase
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Sauge AI Market Intelligence

Industry Trends

The agricultural technology sector is experiencing unprecedented growth driven by the global need for sustainable farming solutions and food security, with companies like Yara at the forefront of digital transformation in agriculture. The integration of data analytics with precision farming technologies is creating new opportunities for data professionals to contribute to solving world hunger and environmental challenges through technology. There is a significant shift towards data-driven decision making in the agricultural industry, with traditional farming practices being enhanced by IoT sensors, satellite imagery, and predictive analytics. This transformation is creating high demand for data analysts who can bridge the gap between complex agricultural data and actionable farming insights. The Asia-Pacific region, particularly Singapore as a hub, is becoming increasingly important for agricultural technology companies due to growing populations, limited arable land, and government initiatives supporting smart farming. This regional focus is driving investment in data analytics capabilities to optimize crop yields and resource utilization. Sustainability and environmental impact measurement are becoming critical components of agricultural analytics, with companies needing to track and optimize their carbon footprint, water usage, and soil health through comprehensive data analysis and reporting systems.

Role Significance

The analyst will likely work within a data team of 8-12 professionals, collaborating closely with 3-4 other analysts while reporting to a senior data manager or head of analytics. The role involves regular interaction with product managers, engineers, and business stakeholders across multiple markets and business units.
This is a mid-level individual contributor role with significant autonomy and cross-functional influence. The position requires independent decision-making on analytical approaches and serves as a key liaison between technical data teams and business stakeholders. The role demonstrates clear progression from junior analyst positions through its emphasis on independent framework development and stakeholder management.

Key Projects

Development and maintenance of comprehensive agricultural performance dashboards that track crop yields, soil conditions, and environmental factors across multiple geographic regions Implementation of customer journey analytics to optimize digital farming product adoption and user engagement across Yara's agricultural technology platform Creation of predictive models for agricultural outcomes using historical farming data, weather patterns, and soil analytics to support farmer decision-making Cross-functional collaboration on data quality initiatives that ensure accuracy of critical agricultural and business metrics used for strategic planning

Success Factors

Strong technical proficiency in SQL and Python combined with agricultural domain knowledge will be crucial for translating complex farming data into actionable insights that directly impact food production and sustainability goals. Excellent stakeholder communication skills are essential for this role, as the analyst must effectively bridge the gap between technical data analysis and business strategy across diverse international markets and cultural contexts. Independent problem-solving capabilities and proactive approach to data quality management will determine success, given the autonomous nature of the role and the critical importance of accurate data in agricultural decision-making. Understanding of product analytics and customer behavior will be vital for supporting Yara's digital transformation initiatives and optimizing their agricultural technology platforms for maximum farmer adoption and impact.

Market Demand

High demand driven by the critical importance of data analytics in modern agriculture and food security initiatives, with limited supply of professionals who understand both data science and agricultural applications

Important Skills

Critical Skills

SQL and Python proficiency are absolutely essential as they form the foundation for all data extraction, manipulation, and analysis tasks. These skills enable the analyst to work with large agricultural datasets, automate reporting processes, and develop the analytical frameworks that drive business decisions across Yara's global operations. Statistical analysis capabilities are crucial for interpreting agricultural data, identifying trends in crop performance, and developing predictive models that help farmers optimize their practices. Strong statistical foundation ensures the reliability and accuracy of insights that directly impact food production decisions. Product analytics expertise is vital for supporting Yara's digital farming initiatives, understanding user behavior on agricultural technology platforms, and optimizing the customer journey for farmers adopting new digital tools and services. Data quality management skills are critical in agricultural contexts where data accuracy directly impacts farming decisions, crop yields, and environmental outcomes. The ability to identify and resolve data quality issues ensures the integrity of insights used for strategic planning.

Beneficial Skills

Knowledge of web analytics tools and digital marketing would be valuable as Yara continues to expand its digital presence and develop direct-to-farmer platforms, requiring understanding of online user behavior and marketing effectiveness. Experience with advanced data visualization tools beyond PowerBI and Metabase would enhance the analyst's ability to create compelling presentations for diverse stakeholders, including farmers, agronomists, and business executives. Understanding of agricultural science fundamentals, soil chemistry, or crop management would provide valuable context for data interpretation and enable more meaningful insights that resonate with agricultural professionals and customers. Project management skills would be beneficial given the cross-functional nature of the role and the need to coordinate with multiple teams across different time zones and markets in Yara's global organization.

Unique Aspects

This role offers the rare opportunity to apply data analytics skills directly to solving global food security and environmental challenges, providing meaningful work that impacts millions of farmers and consumers worldwide.
The position combines traditional business analytics with cutting-edge agricultural technology, offering exposure to IoT data, satellite imagery, and environmental sensors that create unique analytical challenges not found in other industries.
Working at Yara provides access to a global network of agricultural experts and the opportunity to influence farming practices across diverse climates, crops, and markets, offering unparalleled learning opportunities in agricultural science and technology.
The role positions the analyst at the intersection of sustainability and technology, contributing to initiatives that directly support environmental conservation, carbon reduction, and sustainable farming practices on a global scale.

Career Growth

Career progression to senior individual contributor roles typically occurs within 2-3 years, with management opportunities available within 4-5 years for high performers who demonstrate strong leadership and strategic thinking capabilities

Potential Next Roles

Senior Data Analyst or Lead Data Analyst positions within Yara's expanding agricultural technology division, with opportunities to mentor junior analysts and lead complex multi-market analytical initiatives Product Analytics Manager roles focusing on agricultural technology products, leveraging the combination of data skills and domain expertise developed in this position Data Science positions specializing in agricultural predictive modeling and machine learning applications for crop optimization and yield prediction Business Intelligence Manager or Head of Analytics roles, particularly in agricultural technology companies or sustainability-focused organizations

Company Overview

Yara

Yara is a Norwegian multinational corporation and the world's leading crop nutrition company, serving agricultural markets worldwide with fertilizers, crop nutrition programs, and digital farming tools. The company has been at the forefront of sustainable agriculture for over a century and is now leading the digital transformation of farming through data-driven solutions and precision agriculture technologies.

Yara holds a dominant position as the global leader in crop nutrition and is increasingly recognized as an innovator in digital farming solutions. The company's strong financial position, extensive global network, and commitment to sustainability make it an attractive employer for professionals seeking to make a meaningful impact on world food security.
Singapore serves as Yara's strategic hub for the Asia-Pacific region, one of the fastest-growing markets for agricultural technology and sustainable farming solutions. The location provides access to diverse agricultural markets across Southeast Asia and serves as a center for innovation and digital farming initiatives in the region.
Yara promotes a collaborative, mission-driven culture focused on solving global challenges related to food security and environmental sustainability. The company emphasizes diversity and inclusion with over 400 employees involved in D&I ambassador networks, creating an environment that values different perspectives and continuous learning.
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