Bi Data Analyst

Company Gunvor Group is one of the world’s largest independent commodities trading houses by turnover, creating logistics solutions that safely and efficiently move physical energy from where it is sourced and stored to where it is demanded most. With strategic investments in energy infrastructure—shipping, refineries, pipelines, storage, and terminals —Gunvor further generates sustainable value across the global supply chain for its customers. In 2025, Gunvor Group generated US $144 billion in revenue on 253 million metric tons of turnover. The Group’s main trading offices are in Geneva, Singapore, Houston, Stamford, Calgary, Dubai, and London, with a network of more than 20 representative and other trading offices around the globe. More information can be found at GunvorGroup.com. Overview of the role Reporting to the Global IT Project Manager, the BI Data Analyst is responsible for designing, delivering, and supporting enterprise-grade business intelligence and analytics solutions using Microsoft Power BI and the Power Platform, with a strong focus on supporting commodity trading (e.g. oil, metal, gas, power, LNG, derivatives), shipping and trade lifecycle activities (e.g. operation, risk management, contract, settlement, letter of credit, etc.) . The role is critical for translating trading-specific data insights into actionable business decisions. The role acts as a subject-matter expert (SME) for Power BI while also possessing strong business analysis capabilities, enabling data-driven decision-making through high-quality dashboards, governed datasets, automation, and strong stakeholder engagement. Main Responsibilities 1. Strategic Collaboration & Business Alignment Partner with business users, senior management, and IT stakeholders to understand analytical needs and translate them into actionable BI solutions. Work closely with commodity traders, risk managers, and business teams to ensure that the analytical solutions are aligned with market, trading and operation activities. Gather, document, and validate business requirements; recommend analytical approaches aligned with business objectives. Translate complex commodity trading business problems into technical designs that deliver clear insights and measurable business value. Proactively engage with senior business stakeholders to identify areas of improvement in trading and shipping operations and support business development through data-driven insights. 2. Innovation & Product Development Design, develop, and maintain Power BI datasets, reports, and dashboards to meet evolving business requirements. Build and deliver end-to-end analytical and automation solutions using Power BI, Power Apps, Power Automate, and AI Builder tailored to the commodity trading and shipping business. Build solution prototypes where needed to validate concepts and accelerate delivery. Work closely with the data architect and data engineering team to design and deliver analytics-ready datasets through data ingestion, cleansing, and transformation. Document analytical logic, data models, and datasets to support advanced analytics and future enhancements 3. BI Adoption & Enablement Act as the go-to expert for Power BI and data analytics–related user queries within the commodity trading and shipping domain. Conduct Power BI end-user training sessions and provide ongoing guidance and best-practice support. Promote effective BI usage patterns and self-service analytics across the organization Advocate for the importance of data governance and business rules specific to commodity trading and shipping to enhance the accuracy and timeliness of trading decisions. 4. Operational Excellence Enforce BI governance standards and best practices to maintain data quality, consistency, and auditability, ensuring that data used in trading decisions is highly reliable and actionable. Monitor and optimize report performance and dataset refreshes to ensure stability and scalability. Maintain clear technical documentation, release artifacts, and operational procedures Profile Bachelor’s Degree in Information Systems, Computer Science, Data Analytics, Business Analytics, or a related field. Microsoft certifications in Power BI / Power Platform / Fabric are highly preferred. Strong understanding of commodity trading environments is required (oil, metal, gas, power, LNG, derivatives). In-depth knowledge of the trading lifecycle, including market trends, operation, PnL, positions, settlements and risk m…