Power BI & Analytics Developer - Hybrid

Power BI & Analytics Developer - Hybrid

Full-Time 35000 - 42000 £ / year (est.) Home office (partial)
L

At a Glance

  • Tasks: Design and build Power BI reports for frontline and back-office activities.
  • Company: Leicestershire Fire and Rescue Service, committed to equality and diversity.
  • Benefits: Hybrid working model, training opportunities, and a supportive team environment.
  • Other info: Join a dynamic team focused on innovation and community impact.
  • Why this job: Make a difference by providing vital data insights to enhance community safety.
  • Qualifications: Experience in reporting development and a passion for analytics.

The predicted salary is between 35000 - 42000 £ per year.

Leicestershire Fire and Rescue Service is seeking an experienced reporting developer to design, build, maintain and deploy Power BI reports across frontline and back-office activities.

You will manage tabular models and report servers, provide training to users, and respond to data requests as part of a full end-to-end reporting process.

The role requires self-motivation, cross-functional work, and a commitment to equality, diversity, and inclusion.

#J-18808-Ljbffr

Power BI & Analytics Developer - Hybrid employer: Leicestershire Fire and Rescue

Leicestershire Fire and Rescue Service is an exceptional employer, offering a fulfilling career in a community-focused environment. With competitive salaries, flexible working arrangements, and generous leave entitlements, employees benefit from a supportive culture that prioritises professional development and well-being. The organisation's commitment to equality, diversity, and inclusion ensures a welcoming workplace for all, making it an ideal choice for finance professionals seeking meaningful employment.

L

Contact Details:

Leicestershire Fire and Rescue Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI & Analytics Developer - Hybrid

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 Leicestershire Fire and Rescue!

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 & Analytics Developer - Hybrid at Leicestershire Fire and Rescue.

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 Leicestershire Fire and Rescue.

Apply Directly through Our Website

When you find a suitable opening like Power BI & Analytics Developer - Hybrid at Leicestershire Fire and Rescue, 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 & Analytics Developer - Hybrid

Power BI
Reporting Development
Tabular Models
Report Servers
Data Management
User Training
Data Request Response

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 Leicestershire Fire and Rescue, 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 Leicestershire Fire and Rescue. 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 Leicestershire Fire and Rescue

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 Leicestershire Fire and Rescue!

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.