At a Glance
- Tasks: Transform complex data into insightful Power BI reports and dashboards.
- Company: Join a growing IT team with a focus on innovation and collaboration.
- Benefits: Enjoy a compressed nine-day fortnight and flexible work options.
- Other info: Opportunity for continuous improvement and career growth in a dynamic environment.
- Why this job: Make a real impact by delivering actionable insights to drive business decisions.
- Qualifications: Experience with Power BI, data modelling, and modern Microsoft data technologies required.
The predicted salary is between 40000 - 50000 £ per year.
Microsoft Power BI Reporting Analyst
Our client is looking for a Microsoft Power BI Reporting Analyst to join their growing IT function and are able to offer a compressed nine-day fortnight – which means every other Friday off!
This is an excellent opportunity for an experienced BI professional who enjoys transforming complex data into meaningful business insights while working with modern Microsoft data platforms.
Working closely with stakeholders across the business, you'll be responsible for designing, developing and maintaining enterprise-level Power BI reports, dashboards and datasets that support informed decision-making.
You'll translate business requirements into robust analytical solutions while ensuring data models are scalable, high-performing and aligned with best practi ce. Experience with modern Microsoft data technologies such as Databricks, Microsoft Fabric, Azure Synapse Analytics or Azure Data Factory is essential.
Key Responsibilities
- Gather, analyse and translate business requirements into reporting and analytical solutions.
- Design, develop and maintain interactive Power BI reports, dashboards and semantic models.
- Build and optimise data models using industry best practices, including star schema design.
- Develop and maintain DAX measures, calculated columns and reusable datasets.
- Ensure reporting solutions are performant, scalable and governed appropriately.
- Integrate data from multiple enterprise sources including SQL databases, Excel, cloud platforms, APIs and data lakes.
- Work collaboratively with business stakeholders to deliver clear, actionable insights.
- Maintain high standards of data quality, governance and documentation.
- Support continuous improvement of reporting capabilities and analytics across the organisation.
Skills & Experience
- Strong commercial experience with Microsoft Power BI (Desktop and Service).
- Excellent understanding of data visualisation principles and dashboard design.
- Strong knowledge of data modelling, relationships, transformations and DAX.
- Experience working with SQL and relational databases.
- Hands-on experience with Databricks, Microsoft Fabric, Azure Synapse Analytics or Azure Data Factory.
- Exposure to REST APIs, JSON and Microsoft Graph is advantageous.
- Strong understanding of data governance and data quality best practices.
- Ability to interpret business requirements and translate them into effective reporting solutions.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
- A proactive, analytical mindset with strong attention to detail and a passion for delivering high-quality BI solutions.
Microsoft Power BI Analyst in Cardiff employer: Franklin Fitch
Franklin Fitch is an excellent employer that values innovation and collaboration, providing a dynamic work environment for Senior Client Services Engineers. With a strong focus on employee growth, we offer ongoing training and development opportunities, ensuring our team members are equipped to tackle the latest challenges in Azure and on-premises environments. Located in a vibrant area, our company promotes a culture of support and teamwork, making it a rewarding place to build a meaningful career.
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We think you need these skills to ace Microsoft Power BI Analyst in Cardiff
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 Franklin Fitch, 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 Franklin Fitch. 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 Franklin Fitch
✨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 Franklin Fitch!
✨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.
