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For Companies At a Glance
- Tasks: Design and deliver innovative BI solutions using Microsoft Power BI and the Power Platform.
- Company: Join Gunvor Group, a leading independent commodities trading house with a global presence.
- Benefits: Permanent full-time role with opportunities for professional growth and development.
- Other info: Collaborative team culture with a focus on innovation and operational excellence.
- Why this job: Make an impact by enabling data-driven decisions in a dynamic and fast-paced environment.
- Qualifications: Bachelor's degree in relevant field and expertise in Microsoft Power BI required.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About Us
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 industrial infrastructureârefineries, pipelines, storage, and terminalsâGunvor further generates sustainable value across the global supply chain for its customers. Gunvor, founded in 2000, generated US $50 billion in revenues on volumes of 191 million MT in 2020. Gunvor is the largest independent LNG trader in the world. Gunvor has more than 1,500 employees and maintains offices in Geneva, Singapore, London, Istanbul, Shanghai, Amsterdam, Dubai, Houston, and Tallinn, with new offices planned in strategically relevant markets.
Contract Type: Permanent
Time Type: Full time
Scope of the role:
Reporting to the Global IT Project Manager, the BI Data Analyst is responsible for designing, delivering, and supporting enterpriseâgrade business intelligence and analytics solutions using Microsoft Power BI and the Power Platform. The role acts as a subjectâmatter expert (SME) for Power BI, enabling dataâdriven decisionâmaking through highâquality dashboards, governed datasets, automation, and strong stakeholder engagement.
Main Responsibilities:
- Strategic Collaboration & Business Alignment: Partner with business users, senior management, and IT stakeholders to understand analytical needs and translate them into actionable BI solutions. Gather, document, and validate business requirements; recommend analytical approaches aligned with business objectives. Translate complex business problems into technical designs that deliver clear insights and measurable business value. Proactively identify opportunities to improve data quality, reporting effectiveness, and decisionâmaking processes.
- Innovation & Product Development: Design, develop, and maintain Power BI datasets, reports, and dashboards to meet evolving business requirements. Design and deliver endâtoâend analytical and digital solutions using Power BI, Power Apps, Power Automate, and AI Builder. 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 analyticsâready datasets through data ingestion, cleansing, and transformation. Document analytical logic, data models, and datasets to support advanced analytics and future enhancements.
- BI Adoption & Enablement: Act as the goâto expert for Power BI and data analyticsârelated user queries. Conduct Power BI endâuser training sessions and provide ongoing guidance and bestâpractice support. Promote effective BI usage patterns and selfâservice analytics across the organization.
- Operational Excellence: Enforce BI governance standards and best practices to maintain data quality, consistency, and auditability. Monitor and optimize report performance and dataset refreshes to ensure stability and scalability. Maintain clear technical documentation, release artifacts, and operational procedures to support sustainable BI operations.
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 expertise in Microsoft Power Platform, with Power BI as a core specialization (SME level).
- Excellent SQL skills and solid understanding of data modelling concepts.
- Good understanding of commodity trading knowledge is a bonus.
- Strong analytical and problemâsolving skills with attention to detail.
- Strong stakeholder management skills; capable of exceeding stakeholder expectations.
- Selfâmotivated, proactive, and wellâorganized, with strong timeâmanagement skills.
- Comfortable working under pressure in a fastâpaced environment.
- Team player with a collaborative mindset.
- English: Fluent (spoken and written). Any other language an asset.
If you think the open position you see is right for you, we encourage you to apply!
Our people make all the difference in our success.
BI Data Analyst in London employer: Gunvor Group
Contact Detail:
Gunvor Group Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land BI Data Analyst in London
â¨Tip Number 1
Network like a pro! Reach out to current or former employees at Gunvor on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
â¨Tip Number 2
Prepare for the interview by brushing up on Power BI and SQL skills. We all know that being a subject-matter expert is key, so practice explaining complex concepts in simple terms. Itâll show you can communicate effectively with stakeholders.
â¨Tip Number 3
Showcase your problem-solving skills! Think of examples where you've turned data into actionable insights. We want to see how you can add value to Gunvorâs operations through your analytical prowess.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, it shows youâre genuinely interested in joining the team at Gunvor.
We think you need these skills to ace BI Data Analyst in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the BI Data Analyst role. Highlight your experience with Power BI and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analytics and how you can contribute to our team. Keep it concise but impactful â we love a good story!
Showcase Your Technical Skills: Donât forget to mention your technical skills, especially in SQL and data modelling. Weâre looking for someone who can hit the ground running, so make sure we know what you bring to the table!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you donât miss out on any important updates from us!
How to prepare for a job interview at Gunvor Group
â¨Know Your Power BI Inside Out
Make sure youâre well-versed in Microsoft Power BI and the Power Platform. Brush up on your technical skills, especially SQL and data modelling concepts, as these will likely come up during the interview. Be ready to discuss specific projects where you've used these tools to deliver insights.
â¨Understand the Business Context
Familiarise yourself with Gunvor Group's operations and the commodities trading industry. Knowing how your role as a BI Data Analyst fits into their business model will help you articulate how you can add value. Think about how you can translate complex business problems into actionable BI solutions.
â¨Prepare for Stakeholder Engagement Scenarios
Since stakeholder management is key for this role, prepare examples of how you've successfully collaborated with different teams in the past. Be ready to discuss how you gathered requirements and translated them into BI solutions that met business objectives.
â¨Showcase Your Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Highlight your analytical and problem-solving skills by discussing past experiences where you identified opportunities for improvement in data quality or reporting effectiveness.