Power BI & Azure Data Analytics Developer in London

Power BI & Azure Data Analytics Developer in London

London Full-Time 45000 - 55000 £ / year (est.) No working from home possible
Dormont Manufacturing Co

At a Glance

  • Tasks: Create stunning dashboards and automate workflows using Power BI and SQL.
  • Company: Join Dormont Manufacturing Co, a forward-thinking firm in London.
  • Benefits: Enjoy competitive pay, flexible working options, and growth opportunities.
  • Other info: Collaborative team environment with exciting projects awaits you.
  • Why this job: Make a real difference by delivering insights that drive decision-making.
  • Qualifications: Strong skills in data analysis, Power BI, SQL, and Azure services.

The predicted salary is between 45000 - 55000 £ per year.

Dormont Manufacturing Co is looking for a highly motivated Data Analytics Developer to join our Data and Applications team in London. The role requires expertise in Power BI and SQL, focusing on developing dashboards and automated business workflows. The ideal candidate will have strong data analysis skills and experience with Azure services. You will work cross-functionally to deliver insights and support decision-making across the firm.

Power BI & Azure Data Analytics Developer in London employer: Dormont Manufacturing Co

At Dormont Manufacturing Co, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in the vibrant city of London, we offer competitive benefits, continuous professional development opportunities, and a commitment to work-life balance, making us an excellent employer for those seeking meaningful and rewarding careers in data analytics.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI & Azure Data Analytics 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 Dormont Manufacturing Co!

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 & Azure Data Analytics Developer at Dormont Manufacturing Co.

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 Dormont Manufacturing Co.

Apply Directly through Our Website

When you find a suitable opening like Power BI & Azure Data Analytics Developer at Dormont Manufacturing Co, 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 & Azure Data Analytics Developer in London

Communication Skills
SQL
Problem-Solving Skills
Python
Automation
Attention to Detail
Data Governance

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 Dormont Manufacturing Co, 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 Dormont Manufacturing Co. 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 Dormont Manufacturing Co

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 Dormont Manufacturing Co!

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.