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- Tasks: Own and maintain high-quality data for enterprise reporting and design impactful Power BI reports.
- Company: Join a global leader in data & analytics with a modern approach.
- Benefits: Competitive salary of £55,000 plus great benefits and remote work flexibility.
- Why this job: Shape enterprise reporting and drive intelligent analytics in a high-impact role.
- Qualifications: Strong background in data analysis and expertise in Power BI required.
- Other info: Opportunity to work with cutting-edge technologies and advance your career.
The predicted salary is between 42000 - 66000 £ per year.
We’re supporting a global leader in data & analytics in their search for a Data Analyst to help shape and elevate enterprise reporting across the organisation. This is a high-impact role working within a modern Medallion Architecture in Azure, with full ownership of the business-ready data used for critical reporting and decision-making.
You’ll design and maintain Power BI semantic models, build compelling visual reports, prepare curated datasets for AI-driven experiences, and partner closely with data engineers and business stakeholders to drive intelligent, scalable analytics.
What You’ll Be Doing- Own and maintain the Gold layer of the Medallion Architecture, ensuring clean, trusted, high-quality data for enterprise reporting.
- Design, build, and maintain Power BI reports and semantic models using Power BI and Microsoft Fabric.
- Develop sophisticated DAX calculations for KPIs, time intelligence, and advanced business logic.
- Build and maintain Fabric semantic models, dataflows, and transformations.
- Translate business requirements into analytical specifications, KPIs, and measurable insights.
- Prepare curated datasets optimised for Fabric data agents, Copilot, and other AI capabilities.
- Communicate insights using clear storytelling, visual design, and documentation.
- Support the development of Copilot-driven insights through high-quality datasets and metadata.
- Strong background in data analysis, BI, or analytics roles.
- Experience working with Medallion Architecture, ideally owning Gold layer curation.
- Proven expertise in Power BI, including:
- UX/UI best practices
- Performance tuning
- Hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, dataflows, semantic models).
- Python for analytical scripting and advanced stats.
- Experience with AI-enhanced tools (Copilot, AI Foundry, Fabric AI services).
- Knowledge of data governance, metadata, and data quality frameworks.
- Experience with forecasting, statistical modelling, or ML techniques.
- Relevant Microsoft certifications (Power BI, Fabric, Data Analyst Associate).
If this is of interest and you’re looking to take your career to the next level with a global company, please get in touch!
Data Analyst in Chesterfield employer: RedRock Resourcing
Contact Detail:
RedRock Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in Chesterfield
✨Tip Number 1
Network like a pro! Reach out to connections in the data analytics field, especially those who work with Power BI or Medallion Architecture. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI reports and any DAX calculations you've developed. This visual evidence of your expertise can really set you apart during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios. Be ready to discuss how you've handled data quality issues or designed reports that drove business decisions. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst in Chesterfield
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Analyst role. Highlight your experience with Power BI, Medallion Architecture, and any relevant projects that showcase your skills in data analysis and reporting.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've used data to drive insights and decision-making, and don’t forget to mention your passion for analytics!
Showcase Your Technical Skills: We want to see your technical prowess! Include details about your experience with DAX calculations, Microsoft Fabric, and any other tools or languages you’re proficient in, like Python. This is your chance to shine!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at RedRock Resourcing
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with data analysis and BI. Be ready to discuss specific projects where you owned the Gold layer of Medallion Architecture or created impactful Power BI reports. This will show your expertise and confidence in handling the responsibilities of the role.
✨Showcase Your Technical Skills
Make sure to brush up on your DAX calculations and any experience with Microsoft Fabric. Prepare examples that highlight your ability to develop sophisticated KPIs and how you've optimised datasets for AI-driven tools. This will demonstrate your technical prowess and readiness for the challenges ahead.
✨Communicate Clearly and Effectively
Practice explaining complex data concepts in simple terms. Use storytelling techniques to convey insights from your previous work. This is crucial, as the role involves communicating findings to stakeholders who may not have a technical background. Clear communication can set you apart from other candidates.
✨Prepare Questions About the Company’s Data Strategy
Research the company’s approach to data governance and analytics. Prepare thoughtful questions about their use of AI-enhanced tools and how they envision the future of their data architecture. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.