Data Analyst

Yara International ASA; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A global agricultural solutions firm in Singapore seeks a Data Analyst to transform complex data into actionable insights. Key responsibilities include producing advanced data analyses, developing BI solutions, and communicating effectively with stakeholders. Candidates should have a strong background in SQL and Python along with a Bachelor’s degree in a quantitative field. This role offers growth opportunities in analytics and data-driven decision-making.

Qualifications

• At least 3+ years of experience as a Data Analyst or similar role.
• Proven expertise in SQL, Python, and BI tools.
• Demonstrated interest in continuous learning in analytics and data science.

Responsibilities

• Produce data analysis using SQL, Python, and PowerBI.
• Communicate results effectively to stakeholders.
• Coordinate with teams to define data requirements.

Skills

SQL

Microsoft Excel

PowerBI

Python for data analysis

Data Cleaning and Preparation

Exploratory Data Analysis (EDA)

Statistical Concepts

Git/GitHub/GitLab

AI/ML Application

Cloud Data Platforms

Education

Bachelor’s degree in a quantitative discipline

Master's degree

Tools

PowerBI

Metabase

Google Analytics

Job description

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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

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

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
• 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

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

• 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

Apply no later than

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 anchoredDiversity, 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.