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- Tasks: Design and maintain Power BI models, ensuring high-quality analytics and reporting.
- Company: Join RELX, a global leader in information-based analytics and decision tools.
- Benefits: Generous holiday, health benefits, wellbeing programs, and learning resources.
- Why this job: Make an impact with data-driven insights in a dynamic, supportive environment.
- Qualifications: Expertise in Power BI, DAX, and data analysis required.
- Other info: Flexible work-life balance and opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
About the role: The successful candidate will design and maintain Power BI semantic models built on top of the Gold layer, ensuring all reporting is consistent, performant, and certified for organisational use. They will also prepare curated, structured datasets optimised for use with Microsoft Fabric data agents, Copilot experiences, and other AI-driven capabilities. This role requires expertise in Power BI report design, data modelling, and DAX, along with the ability to analyse structured and unstructured data using Microsoft Fabric and related technologies. The analyst will work closely with internal business teams, data engineers, and platform experts to deliver high-quality analytics, reporting, and data models that drive intelligent business solutions.
Responsibilities:
- Own and maintain the Gold layer within the organisation’s Medallion Architecture, ensuring it provides clean, trusted, business-ready data for enterprise reporting.
- Design, develop, and maintain Power BI reports and semantic models using Power BI and Microsoft Fabric analytics tools.
- Write DAX calculations for KPIs, time intelligence, advanced metrics, and custom business logic.
- Conduct exploratory and statistical analysis on structured and unstructured datasets to identify trends, patterns, and opportunities.
- Partner with Data Engineers to ensure Bronze and Silver layers are well-structured and optimised for downstream consumption.
- Build and maintain Fabric semantic models, dataflows, and transformations that support reporting and the Gold dataset layer.
- Translate business requirements into analytical specifications, KPIs, and measurable outcomes.
- Prepare high-quality curated datasets optimised for Fabric data agents and other AI-driven experiences.
- Communicate analytical findings clearly to both technical and non-technical stakeholders through storytelling, visualisation, and documentation.
- Support the development of Copilot-driven insights by preparing trustworthy datasets and metadata.
- Ensure all analytical solutions adhere to data governance, security, and compliance standards.
Requirements:
- Proven expertise in data analysis, business intelligence, or analytics roles.
- Experience working within a Medallion Architecture, ideally with direct responsibility for Gold layer curation.
- Expertise in Power BI, including:
- Intermediate DAX
- Star schema modelling and semantic model design
- Report UX/UI best practices
- Performance optimisation
Desirable:
- Knowledge of Python for analytical scripting, data manipulation, and advanced statistical techniques.
- Familiarity with AI-enhanced analytics tools such as Copilot, AI Foundry, or Fabric-based AI services.
- Understanding of data governance, metadata management, and data quality best practices.
- Experience with statistical modelling, forecasting, or machine learning techniques.
- Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate).
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
About the Business: RELX is a global provider of information-based analytics and decision tools for professional and business customers. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs more than 36,000 people over 40% of whom are in North America. The headquarters is in London. The market capitalization is about £60bn ($80bn), making it one of the 10 largest listed companies in the UK. The company is listed on the London Stock Exchange, Euronext and NYSE. The company has four market segments. It develops information-based analytics and decision tools for professional and business customers in the Risk, Scientific, Technical & Medical, Legal, and Exhibitions sectors.
Data Analyst in City of London employer: RELX
Contact Detail:
RELX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI reports and data models. This gives you a chance to demonstrate your expertise and makes you stand out when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions and scenarios. Think about how you would explain complex concepts simply, as you'll need to communicate effectively with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight your experience with Power BI, DAX, and data modelling. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data analysis and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, don’t hesitate to mention them! Whether it's a Power BI report or a data analysis project, we love seeing real examples of your work and how you approach problem-solving.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at RELX
✨Know Your Power BI Inside Out
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss your experience with report design, DAX calculations, and semantic models. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Understand the Medallion Architecture
Familiarise yourself with the Medallion Architecture, especially the Gold layer. Be prepared to talk about how you've curated data in previous roles and how you ensure that it’s clean and business-ready. This will show that you understand the importance of data quality in analytics.
✨Showcase Your Analytical Skills
Be ready to discuss specific examples of how you've conducted exploratory and statistical analysis on datasets. Highlight any trends or insights you've uncovered and how they impacted business decisions. This will demonstrate your ability to translate data into actionable insights.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data governance practices, team dynamics, and how they leverage AI-driven capabilities. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
