At a Glance
- Tasks: Create impactful dashboards and reports to drive strategic decisions.
- Company: Partnering with innovative firms in finance and tech.
- Benefits: Competitive salary, career growth, and diverse opportunities.
- Other info: Join a dynamic team with multiple opportunities across sectors.
- Why this job: Shape data visualisation and make a real difference in businesses.
- Qualifications: Experience in Power BI, SQL, and data modelling required.
The predicted salary is between 45000 - 55000 £ per year.
The Opportunity
We are currently partnering with several forward-thinking organisations, ranging from established financial services firms to fast-growing technology consultancies, who are looking to strengthen their data capabilities. These roles offer the chance to make a tangible impact by shaping how data is visualised and utilised to drive strategic decision‑making across diverse business functions.
The Role
In these positions, you will take ownership of the end‑to‑end development of high‑quality dashboards and reports, translating complex business requirements into robust, actionable technical solutions. You will manage the full lifecycle of BI reporting, from data modelling and integration to performance optimisation, whilst ensuring the stability and governance of the reporting environment through advanced DAX calculations and proactive troubleshooting.
What We’re Looking For
- Extensive experience in Power BI development, including advanced DAX and Power Query.
- Proficiency in SQL and relational database management.
- Strong understanding of data modelling and data warehousing concepts.
- Experience working with Azure or other cloud‑based data platforms.
- Proven ability to translate business requirements into technical BI solutions.
- Strong analytical and problem‑solving skills for troubleshooting BI issues.
- Excellent communication and stakeholder management capabilities.
- Experience with ETL processes and data integration.
Apply Now
If you are a data‑driven professional looking to take the next step in your career, we would love to hear from you. As we work with multiple clients across various sectors, we have several similar opportunities available and can help find the right fit for your specific experience and career goals.
Power BI Developer in London employer: Myn
Join a dynamic and innovative team where your expertise as a Power BI Developer will be valued and rewarded. Our collaborative work culture fosters creativity and professional growth, offering you the chance to work with leading organisations while making a significant impact on their data strategies. With access to ongoing training and development opportunities, you will thrive in an environment that encourages continuous learning and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Power BI Developer in London
✨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 Myn!
✨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 Power BI Developer at Myn.
✨Leverage Professional Networks
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 Myn.
✨Apply Directly through Our Website
When you find a suitable opening like Power BI Developer at Myn, 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 Power BI Developer in London
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 Myn, 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 Myn. 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 Myn
✨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 Myn!
✨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.
