At a Glance
- Tasks: Transform messy data into actionable insights and build interactive dashboards.
- Company: Join a dynamic team focused on data-driven decision making.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact by bridging data with business strategies using cutting-edge tools.
- Qualifications: Experience with BI tools, strong SQL skills, and a proactive mindset.
The predicted salary is between 49500 - 60500 £ per year.
In this role you transform messy data into actionable business insights to support strategic decisions. You’ll build high-performance dashboards, partner with cross-functional stakeholders, and ensure data quality and governance. You will bridge data infrastructure with the business, applying automation and AI tooling where suitable. You’ll work in a growth-minded BI team to enable data-driven decision making across markets, products, and operations.
Responsibilities
- Design, develop and maintain interactive dashboards and reports (Tableau) for wide audiences
- Collaborate with stakeholders across departments, acting as a trusted data advisor
- Translate complex data into clear narratives to inform executive decisions
- Write, optimize and troubleshoot advanced SQL Server and Snowflake queries
- Champion data governance, literacy, quality, and security across the organization
- Automate data pipelines and scripting, integrate APIs, and apply AI tooling where appropriate
- Maintain clean code with Git/source control practices
Key requirements
- BI visualization tools experience (Tableau, QuickSight, Power BI) in a commercial analytics role
- Excellent communication skills to translate technical concepts for non-technical stakeholders
- Strong data literacy with governance, data modeling and master data management knowledge
- Proficiency in SQL for robust, performant queries and relational data management
- Practical coding experience in Python, .NET or similar for data manipulation and automation
- Understanding of source control (Git) and modern deployment workflows
- Proactive, curious self-starter who thrives in ambiguity and can structure messy data environments
- Clear communicator
- Cross-functional collaboration
- Curiosity and analytical mindset
- Tableau, QuickSight, Power BI
- SQL
- Python, .NET or similar
Business Intelligence Analyst employer: Trayport
Trayport is an exceptional employer that prioritises employee well-being and engagement, offering a dynamic work culture in the heart of London. With a strong focus on professional development, employees are encouraged to grow through innovative programmes and collaborative initiatives, while enjoying the benefits of a hybrid work model that promotes work-life balance. Join us to be part of a forward-thinking team that values recognition, wellness, and community involvement.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Analyst
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Trayport!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Business Intelligence Analyst
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Trayport, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Trayport
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Trayport’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
