Power BI & Fabric Analytics Developer (Flexible) in Lewes

Power BI & Fabric Analytics Developer (Flexible) in Lewes

Lewes Full-Time 30150 - 36850 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and maintain Microsoft Fabric artefacts while collaborating on data improvements.
  • Company: Join Sussex Police's Corporate Development Department in a flexible role.
  • Benefits: Flexible working hours and opportunities for professional growth.
  • Why this job: Make a difference by enhancing data analytics for public safety.
  • Qualifications: Strong skills in Power BI, SQL, and data modelling required.

The predicted salary is between 30150 - 36850 £ per year.

Sussex Police is seeking a Developer to join the Corporate Development Department in Lewes to design, migrate and maintain Microsoft Fabric artefacts such as Dataflow, semantic models and reports, and to bring data into Fabric Lakehouse and/or Data Warehouse. You will collaborate with the Data Exploitation Manager and the Single Data Platform project to plan, test and deliver improvements.

This role requires strong data modelling, Power BI and SQL skills, with experience building dataflows.

Power BI & Fabric Analytics Developer (Flexible) in Lewes employer: Sussex Police

As a leading police organization in the United Kingdom, we pride ourselves on being an excellent employer that values integrity and community engagement. Our work culture fosters collaboration and innovation, providing employees with meaningful opportunities for growth and development while promoting a strong ethical framework. With flexible part-time hours and hybrid working options, we ensure a supportive environment that empowers our team to make a real difference in society.

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Contact Details:

Sussex Police Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI & Fabric Analytics Developer (Flexible) in Lewes

✨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 Sussex Police!

✨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 Analytics Developer (Flexible) at Sussex Police.

✨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 Sussex Police.

✨Apply Directly through Our Website

When you find a suitable opening like Power BI & Fabric Analytics Developer (Flexible) at Sussex Police, 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 Analytics Developer (Flexible) in Lewes

Power BI
Microsoft Fabric
Data Modelling
SQL
Dataflow Development
Data Warehouse Management
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 Sussex Police, 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 Sussex Police. 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 Sussex Police

✨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 Sussex Police!

✨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.