Power BI & Fabric Insights Developer in Oxford

Power BI & Fabric Insights Developer in Oxford

Oxford Full-Time 40000 - 50000 £ / year (est.) No working from home possible
Aurora Energy Research

At a Glance

  • Tasks: Transform business questions into insightful solutions using Power BI and Microsoft Fabric.
  • Company: Join Aurora Energy Research, a leader in data-driven insights.
  • Benefits: Enjoy private medical insurance and a cycle-to-work scheme.
  • Other info: Collaborative team environment focused on continuous improvement.
  • Why this job: Make a real impact by delivering high-quality reports and data insights.
  • Qualifications: Strong analytical skills and experience with Power BI are essential.

The predicted salary is between 40000 - 50000 £ per year.

Aurora Energy Research is seeking a Business Insights Developer to join our Data and Insights team in Oxford. This mid-level role focuses on turning business questions into insightful solutions using Microsoft Fabric and Power BI.

The successful candidate will engage with business stakeholders, create high-quality reports, and ensure data insights are governed and user-focused. Strong analytical thinking and Power BI skills are essential, along with the ability to work collaboratively across teams.

Our team values continuous improvement and offers competitive benefits including Private Medical Insurance and a Cycle-to-work Scheme.

Power BI & Fabric Insights Developer in Oxford employer: Aurora Energy Research

Aurora Energy Research is an excellent employer that fosters a collaborative and innovative work culture in the heart of Oxford. With a strong emphasis on employee growth, we provide opportunities for continuous improvement and professional development, alongside competitive benefits such as Private Medical Insurance and a Cycle-to-work Scheme. Join us to make a meaningful impact while working with cutting-edge tools like Microsoft Fabric and Power BI.

Aurora Energy Research

Contact Details:

Aurora Energy Research Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI & Fabric Insights Developer in Oxford

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 Aurora Energy Research!

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 & Fabric Insights Developer at Aurora Energy Research.

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 Aurora Energy Research.

Apply Directly through Our Website

When you find a suitable opening like Power BI & Fabric Insights Developer at Aurora Energy Research, 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 & Fabric Insights Developer in Oxford

Power BI
Microsoft Fabric
Analytical Thinking
Report Creation
Data Governance
User-Focused Design
Collaboration Skills

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 Aurora Energy Research, 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 Aurora Energy Research. 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 Aurora Energy Research

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 Aurora Energy Research!

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.