Senior Data Analyst

About the Company

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. 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. 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

Strategic Problem Definition & Analysis Leadership

• Lead the definition and refinement of complex business problems from a technical and strategic data perspective, ensuring alignment with organizational goals and long-term strategic objectives
• Conduct comprehensive stakeholder analysis to understand underlying business needs and translate them into sophisticated analytical frameworks

Advanced Technical Implementation & Development

• Mostly an Individual Contributor – producing data analysis, calls, and requirements production (SQL, Python, Metabase, PowerBI, etc.) while maintaining world-class technical standards and driving innovation in analytical methodologies
• Architect and implement complex data models, algorithms and analytical frameworks that support enterprise-level decision making

Stakeholder Management & Strategic Alignment

• Independently drive the alignment of business requirements with executive stakeholders, defining advanced metrics, and architecting comprehensive business intelligence solutions (e.g., interactive dashboards, predictive reports) to fulfill strategic objectives
• Expertly communicate and make stories out of complex results and strategic insights to diverse stakeholders, including senior leadership, influencing data-driven decision-making across the organization
• Collaborate strategically with data engineering, development, and product teams to define requirements for advanced analytics & insights tooling, ensuring data infrastructure supports future analytical needs
• Clearly communicate business requirements and analytical insights to stakeholders, defining scope, deliverables, and potential impacts
• Proactively define project workstreams and data solutions by directly collaborating with other teams
• Establish and maintain strong relationship with C-Level Executives to ensure analytical initiatives support business priorities

Customer Journey & Business Optimization

• Quantify and analyze all elements of the end-to-end customer journey with a high degree of precision, identifying significant opportunities for conversion, engagement, and retention, and proposing strategic interventions
• Develop models and predictive analytics to support personalized marketing and product development strategies
• Generate impactful business insights and formulate strategic, data-backed recommendations that drive measurable business outcomes

Technical Excellence & Data Infrastructure Leadership

• Perform and track complex data extraction, rigorous data cleaning, and advanced transformations independently, often designing and implementing robust data pipelines
• Produce sophisticated dashboards, reports, and analytics independently
• Proactively understand, ensure, and govern data quality across various datasets
• Troubleshoot complex data quality issues, identifying root causes and proposing robust, scalable improvement suggestions
• Define problems and propose solutions based on experience and active listening

Team Leadership

• Guide junior data analysts, providing technical expertise, best practices, and fostering their professional development
• Establish performance standards and quality metrics for analytical work across the team
• Lead technical training initiatives and knowledge sharing sessions to elevate the analytical capabilities of the entire team

Qualifications

• 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 bonus
• At least 5+ years of progressive experience as a Data Analyst or in a similar quantitative, analytical role, demonstrating increasing responsibility and complexity of projects
• Proficient in Thai and English language (Able to speak and write)
• Advanced coursework or professional development in statistics, machine learning, business intelligence, or related analytical disciplines
• Demonstrated expertise in product analytics, including defining, tracking, and interpreting key performance indicators (KPIs) and user behavior metrics to drive product strategy
• Proven track record of leading high-impact analytical projects that have influenced strategic business decisions
• Expertise in experimental design and A/B testing methodologies with statistical significance assessment
• Proactively identify, thoroughly troubleshoot, and independently provide robust and scalable solutions to complex data quality issues across diverse datasets
• Proven ability to resolve data conflicts and discrepancies that impact multiple business units
• Expert in performing advanced Exploratory Data Analysis (EDA), identifying patterns, anomalies, and correlations, and translating these into actionable business insights
• Advanced expertise in statistical modeling, predictive analytics, and machine learning applications for business problems