Senior Data Analyst

Yara Asia Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Yara Asia Pte Ltd in Singapore seeks an analytics leader to define strategic problems from a data perspective and drive long-term analytical objectives. You will perform stakeholder analysis, build sophisticated models and dashboards, and collaborate across engineering and product teams.

You will independently communicate insights to senior leadership, influence data-driven decisions, and mentor junior analysts while maintaining high technical standards and governance across data pipelines.

Qualifications

• Experience defining and solving complex analytics problems with business impact.
• Proven ability to translate stakeholder needs into analytics frameworks.
• Hands-on data analysis, dashboarding, and BI tooling leadership.

Responsibilities

• Define and refine complex business problems from data and strategy perspective.
• Lead development of analytics frameworks, dashboards, and predictive reports.
• Align business requirements with executives, establishing metrics and BI solutions.
• Communicate findings clearly to senior leadership to influence decisions.
• Collaborate with data engineering, development, and product teams on analytics tooling.
• Guide junior analysts and establish team performance standards.

Skills

Data analysis

Stakeholder management

Communication

Leadership

Problem solving

Tools

SQL

Python

Metabase

PowerBI

Job description

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

• 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 stakeholder, 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.
• Troubleshot 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