At a Glance
- Tasks: Design and build Power BI solutions using Microsoft Fabric to drive data-driven decisions.
- Company: Renowned organisation expanding its data team in Crewe.
- Benefits: Competitive salary of circa £50k, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with a focus on continuous improvement and data governance.
- Why this job: Be a key player in transforming data into actionable insights and making a real impact.
- Qualifications: Experience in BI development, Microsoft Fabric, and strong SQL skills.
The predicted salary is between 45000 - 55000 £ per year.
Fabric PowerBI Developer with extensive MS Fabric skills is required by a renowned organisation based in Crewe, expanding its data team and seeking a skilled BI Developer (Microsoft Fabric & Power BI) to design, build, and support enterprise business intelligence solutions that drive data-driven decision-making across the business. It is a heavily hybrid role and pays circa 50k.
In this role, you will act as a vital bridge between business stakeholders and technical execution, taking end-to-end ownership of Power BI dashboard delivery while utilising hands-on Microsoft Fabric capabilities to support a scalable, modern data environment.
What You'll Do
- Drive Microsoft Fabric Delivery: Apply practical hands-on experience with Microsoft Fabric to integrate and manage data, support platform governance, manage access controls, and monitor/troubleshoot workloads.
- Build End-to-End Power BI Solutions: Design, develop, and optimise high-performing Power BI dashboards and reports using advanced DAX, Power Query, semantic modelling, and data visualisation best practices.
- Confidently Engage Stakeholders: Work directly with operational and leadership teams to gather requirements, challenge assumptions, translate business questions into technical BI solutions, and present actionable insights clearly.
- Data Management & Optimisation: Utilise strong SQL skills for data manipulation, querying, and validation while implementing robust ETL/ELT processes and troubleshooting performance bottlenecks across datasets.
- Champion Data Governance: Ensure high standards of data quality, data integrity, security, and BI platform best practices across all deliverables.
- Continuous Improvement: Maintain analytical capabilities and explore broader capabilities (such as Azure Data Services, Qlik, Cognos TM1, or AI-enabled forecasting where applicable).
What You'll Bring
- BI Development Experience: A proven track record of delivering end-to-end business intelligence solutions.
Fabric BI Developer MS Fabric Power BI Crewe 50k employer: Langley James
Join a leading organisation in Crewe that values innovation and collaboration, offering a dynamic work environment where your skills as a Fabric Power BI Developer will be fully utilised. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge projects that drive impactful data-driven decisions. Enjoy the flexibility of a heavily hybrid role, competitive salary, and a supportive culture that encourages creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Fabric BI Developer MS Fabric Power BI Crewe 50k
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We think you need these skills to ace Fabric BI Developer MS Fabric Power BI Crewe 50k
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Langley James, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Langley James. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Langley James
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Langley James!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
