Job Description

Date posted: Aug 21, 2025
Location:
Singapore, SG
Area of Expertise: Digital Farming
Job Type: Permanent
Work mode (place): On site
Job Requisition ID: 23127

Data Analyst

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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

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Founded in 1905 and headquartered in Oslo, Yara International is a Norwegian multinational company (MNC) and the leading sustainable agricultural, digital farming solutions, and farmer livelihood-enhancement company. Our dedicated team of 18,000 professionals in 160 countries are committed to helping the world achieve a nature-positive food future through regenerative farming, climate neutrality, and farmer prosperity.



With its headquarters in Singapore, Yara Africa & Asia (YAA) is one of Yara's three regional geographic operating units. YAA and its team of 2,000 employees support an extensive and diverse region of 22 market economies. YAA works closely with in-country, regional, and global stakeholders - including policymakers, commercial and smallholder farmers, retailers and channel partners, and NGOs to identify how the company can best support priorities around food security, farmer livelihoods, sustainability and circular economy across the food value chain. With global production capacity and product innovation, digital technology across five digital farming hubs - three of which are in Africa and Asia (Singapore, Shanghai, and Bangalore) - Yara Africa & Asia is supporting millions of farmers to grow our food sustainably

Responsibilities

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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

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The

Data Analyst

will be a critical part of our team, responsible for transforming complex data into actionable insights that drive business decisions. The role is expected to leverage analytical expertise to design and produce comprehensive dashboards and reports, identify data quality issues proactively, and communicate findings clearly to diverse stakeholders. This role requires a strong blend of technical skills, business acumen, and an ability to translate data into compelling narratives.

This position offers growth opportunities in:

Developing expertise in advanced analytics techniques and business intelligence tools Building strong relationships with stakeholders across different business units Contributing to data-driven decision making that impacts commercial outcomes Expanding technical skills in emerging areas like AI/ML applications and automation

Additional Information

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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 responsibility and complexity of projects.

Hard Skills:

Advanced or better at Full-stack Data Skills: with at least one expert-level hard skill


SQL (Structured Query Language): High Microsoft Excel: High BI Tools (e.g., PowerBI, Metabase): High or Expert Python (for data analysis): Advanced or Expert Data Cleaning and Preparation: Expert Exploratory Data Analysis (EDA): High Statistical Concepts: Medium or better Version Control (e.g., Git/GitHub/GitLab): High AI/ML Application (Analytical Focus): High Data Warehousing/Cloud Data Platforms: Medium API Integration for Data: Foundational to Medium Marketing Analytics Tools (Google Analytics, Whatsapp, etc.) - Medium or better

Soft Skills:

Able to define tasks and workstreams and delegate to team members without supervision Ability to communicate with end-users to understand their requirements and translate to tasks Present analytical findings clearly to both technical and non-technical audiences Take ownership of assigned deliverables and follow through on commitments to stakeholders

Contact details

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Apply no later than

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Knowledge grows through differences

Yara is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. We believe that creating a diverse and inclusive work environment is not only the right thing, but also the smart thing to do. To deliver on this, Yara has firmly anchored Diversity, Equity & Inclusion (DE&I) in our business strategy and has more than 400 employees worldwide involved in D&I ambassadors networks.


As part of our recruitment process, where permitted by local law, we may conduct reference and background checks. These checks will only be performed when deemed necessary for the nature of the job. Candidates will be informed by HR before any background checks are initiated.

Job Segment:

Sustainable Agriculture, Data Analyst, Agricultural, Database, Data Warehouse, Agriculture, Data, Technology