At a Glance
- Tasks: Design and develop engaging Power BI dashboards and reporting solutions.
- Company: Join a globally recognised brand investing in data and reporting capabilities.
- Benefits: Collaborative hybrid work environment with exposure to enterprise-scale BI projects.
- Other info: Thriving Agile environment focused on continuous improvement and career growth.
- Why this job: Make an impact on data-driven decision making and mentor emerging talent.
- Qualifications: Experience in Power BI, DAX, SQL, and modern data platforms required.
The predicted salary is between 35000 - 45000 £ per year.
We are currently support a globally recognisable brand in securing an ambitious BI Developer. You'll design, develop and maintain engaging Power BI dashboards, semantic models and reporting solutions that support Finance & Controlling. You'll work closely with stakeholders to gather requirements, define KPIs and reporting logic, build scalable data models using DAX, SQL and modern Azure technologies, and support the migration of legacy Cognos reports into Power BI. You'll also promote reporting best practice, ensure robust data quality and governance, provide end-user training, and mentor a Data Apprentice while contributing to the wider Business Intelligence capability.
Ensuring Your Success
To succeed in this role, you'll bring proven experience developing Power BI dashboards, reports and semantic models, supported by advanced DAX and strong SQL skills. You'll have a solid understanding of data modelling, reporting governance, data quality, testing and performance optimisation, alongside experience working with technologies such as Databricks, Azure Data Factory, Azure Data Lake or similar modern data platforms. Advanced Excel skills and experience working with finance or management information reporting are highly desirable, while previous exposure to Cognos would be beneficial. You'll be a confident communicator who can translate business requirements into intuitive reporting solutions, build strong stakeholder relationships, challenge assumptions where needed, and thrive in a fast-paced Agile environment focused on continuous improvement.
In Return
You'll join an organisation investing heavily in its data and reporting capability, offering the opportunity to work with modern technologies on high-profile transformation initiatives. In return, you'll enjoy a collaborative hybrid working environment, exposure to enterprise-scale BI projects, the chance to influence reporting strategy, mentor emerging talent, and play a key role in delivering data-driven decision making across the business.
Data Analyst in Milton Keynes employer: R3vamp
R3vamp is an exceptional employer that values innovation and employee development, offering a dynamic work culture where collaboration and creativity thrive. With the opportunity for hybrid working and quarterly international travel, employees can enjoy a balanced lifestyle while gaining invaluable experience in diverse sectors. The company is committed to supporting your professional growth through ongoing training and development, making it a rewarding place to build your career as a Calibration & Lab Instrumentation Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Milton Keynes
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like R3vamp!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Analyst at R3vamp.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like R3vamp.
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When you find a suitable opening like Data Analyst at R3vamp, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Analyst in Milton Keynes
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 R3vamp, 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 R3vamp. 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 R3vamp
✨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!
✨Showcase Your Projects
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 R3vamp!
✨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.
