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For Companies At a Glance
- Tasks: Design and deliver Power BI solutions to support data-driven decision-making.
- Company: A growing analytics consultancy focused on public sector organisations.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact with your analytical skills.
- Qualifications: Experience with Power BI, DAX, and data modelling principles.
- Other info: Collaborative environment with a focus on innovation and quality.
The predicted salary is between 36000 - 60000 £ per year.
I'm working with a growing analytics consultancy that supports public sector organisations to make better, faster decisions through high-quality data and insight. They're now looking to add an experienced Analytics Engineer to join their expanding Analytics Practice. This is a hands-on role suited to someone who enjoys building robust, scalable Power BI solutions.
As an Analytics Engineer, you'll be responsible for designing and delivering Power BI semantic models and reports aligned to a set of established analytics accelerators. You'll work closely with both internal data engineering teams and business stakeholders to ensure analytics solutions are reliable, performant, and ready for self-service use. You'll play a key role in translating data delivered via Microsoft Fabric into well-structured analytical models and intuitive Power BI reports that drive real-world decision-making.
Responsibilities
- Build and maintain enterprise-grade semantic models in Power BI and Microsoft Fabric
- Develop high-quality dashboards and reports, including complex DAX measures
- Own the full Power BI lifecycle, from modelling and development through to deployment, access, and security
- Apply best practice around modelling standards, performance optimisation, and governance
- Define and document data views and tables required for build within Fabric
- Produce clear technical documentation covering datasets, logic, and report design
- Support testing, QA, and UAT to ensure solutions are accurate and production-ready
- Respond to and resolve Power BI support tickets efficiently
- Work closely with senior analytics leadership to deliver against agreed specifications
- Partner with data engineers to ensure data sources meet modelling requirements
- Engage with business users to understand reporting needs and promote data-driven decision-making
- Deliver to deadlines across multiple workstreams
As Analytics Engineer, you will have:
- Hands-on experience with Power BI, covering the full end-to-end lifecycle, including modelling, DAX, Power Query, workspace management, and security
- Data modelling principles and star schema design
- Advanced DAX and optimisation techniques
- Power Query (M)
- Microsoft Fabric (Lakehouse/Warehouse, semantic models, pipelines)
- Git / DevOps workflows and deployment processes
- Working with stakeholders to gather requirements and hand over solutions
- UAT processes and documentation
- Experience working with local government or public sector datasets is desirable
- Background in consulting or delivery-focused environments is desirable
Analytics Engineer employer: Robert Walters
Contact Detail:
Robert Walters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field, especially those who work with Power BI. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Power BI projects. This is your chance to demonstrate your hands-on experience and how you’ve tackled real-world problems with data.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Be ready to discuss how you’ve built semantic models or optimised DAX measures in past roles. We want to see your thought process!
✨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 Analytics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your hands-on 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!
Showcase Your Projects: Include specific examples of dashboards or reports you've built, especially those that demonstrate your DAX and data modelling skills. This will help us understand your practical experience and how you approach problem-solving.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. Explain why you're interested in the role and how your background makes you a great fit. We appreciate straightforward communication!
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 the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Robert Walters
✨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 building semantic models, DAX measures, and dashboards. Prepare examples of how you've tackled challenges in previous projects, as this will show your hands-on expertise.
✨Understand the Public Sector Landscape
Since the role involves working with public sector organisations, it’s crucial to understand their unique challenges and data needs. Research recent trends or case studies related to analytics in the public sector, so you can demonstrate your knowledge and how it applies to the role.
✨Showcase Your Collaboration Skills
This position requires working closely with data engineers and business stakeholders. Be prepared to share examples of how you've successfully collaborated in past roles. Highlight your communication skills and how you’ve gathered requirements to deliver effective analytics solutions.
✨Prepare for Technical Questions
Expect technical questions about data modelling principles, performance optimisation, and governance. Brush up on your understanding of Microsoft Fabric and Git/DevOps workflows. Practising these concepts will help you feel more confident and articulate during the interview.
