BI Data Analyst

Main Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• Maintain clear technical documentation, release artifacts, and operational procedures.

Qualifications

• 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 (oil, metal, gas, power, LNG, derivatives).
• In-depth knowledge of the trading lifecycle, including market trends, operation, PnL, positions, settlements, and risk management.
• Experience working with trading data (e.g., PnL, risk, positions, settlements) and ETRM systems is highly preferred.
• Strong expertise in Microsoft Power Platform, with Power BI as a core specialization (SME level).
• Excellent SQL skills and solid understanding of data modelling concepts.
• Strong business analysis skills, capable of interpreting trading requirements and translating them into technical deliverables.
• Strong analytical and problem-solving skills with attention to detail.
• Strong stakeholder management skills, capable of exceeding stakeholder expectations, particularly in the context of trading and business analysis.
• Self-motivated, proactive, and well-organized, with strong time-management skills.
• Comfortable working under pressure in a fast-paced, trading-focused environment.
• Team player with a collaborative mindset.
• Fully fluent in English (spoken and written).