Power BI & Data Insights Analyst (BI CoE) in Warrington

Power BI & Data Insights Analyst (BI CoE) in Warrington

Warrington Full-Time 35000 - 45000 £ / year (est.) Home office (partial)
Loop Recruitment

At a Glance

  • Tasks: Create and maintain insightful dashboards using Power BI and SQL.
  • Company: Join Loop Recruitment's innovative BI Centre of Excellence in Warrington.
  • Benefits: Enjoy 26 days holiday, gym access, subsidised meals, and enhanced pension.
  • Other info: Collaborative team environment with exciting onsite perks.
  • Why this job: Make a real impact by contributing to the growth of the Data Estate.
  • Qualifications: Strong Power BI and SQL skills with a hands-on approach.

The predicted salary is between 35000 - 45000 £ per year.

Loop Recruitment is seeking a hands-on BI/Data Analyst to join their BI Centre of Excellence in Warrington. This hybrid role demands strong Power BI and SQL expertise, where you will create and maintain insightful dashboards, engage with stakeholders, and contribute to the growth of the Data Estate.

As part of a collaborative team, you will enjoy a variety of onsite perks like a gym and subsidised restaurant, along with 26 days of holiday and enhanced pension benefits.

Power BI & Data Insights Analyst (BI CoE) in Warrington employer: Loop Recruitment

Loop Recruitment is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a meaningful impact in the field of data analytics. Located in Warrington, employees benefit from a range of onsite perks including a gym and subsidised restaurant, alongside generous holiday allowances and enhanced pension benefits, all while being part of a dynamic team dedicated to professional growth and development.

Loop Recruitment

Contact Details:

Loop Recruitment Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI & Data Insights Analyst (BI CoE) in Warrington

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 Loop Recruitment!

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 & Data Insights Analyst (BI CoE) at Loop Recruitment.

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 Loop Recruitment.

Apply Directly through Our Website

When you find a suitable opening like Power BI & Data Insights Analyst (BI CoE) at Loop Recruitment, 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 & Data Insights Analyst (BI CoE) in Warrington

Power BI
SQL
Dashboard Creation
Stakeholder Engagement
Data Analysis
Collaboration
Data Visualisation

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 Loop Recruitment, 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 Loop Recruitment. 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 Loop Recruitment

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 Loop Recruitment!

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.