Power BI Engineer: Turn Data into Retail Insights

Power BI Engineer: Turn Data into Retail Insights

Full-Time 45000 - 55000 £ / year (est.) On-site
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At a Glance

  • Tasks: Design and develop impactful reporting solutions using Power BI.
  • Company: Leading retail company in Greater London with a focus on data-driven insights.
  • Benefits: Generous colleague discounts, up to 28 days holiday, and career development support.
  • Other info: Supportive environment with opportunities for professional growth.
  • Why this job: Transform complex data into actionable insights and make a real impact.
  • Qualifications: Experience with Power BI and strong analytical skills.

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

A leading retail company in Greater London is seeking a skilled Power BI Engineer to join its Data & Analytics team. The ideal candidate will design and develop impactful reporting solutions, turning complex data into actionable insights.

Responsibilities include:

  • Maintaining dashboards
  • Optimizing models
  • Collaborating with stakeholders

The position offers a supportive environment for career development, with benefits like generous colleague discounts and up to 28 days of holiday per annum.

Power BI Engineer: Turn Data into Retail Insights employer: TFG Brands London

At TFG London, we pride ourselves on being an exceptional employer, especially as we launch our new TFG Brand House in Inverness. Our vibrant work culture fosters collaboration and creativity, empowering Store Managers to lead dynamic teams while enjoying generous benefits like a 70% staff discount and a free clothing allowance. We are committed to your professional growth, providing the tools and support necessary for you to thrive in your career and make a meaningful impact on our customers' experiences.

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Contact Details:

TFG Brands London Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Power BI Engineer: Turn Data into Retail Insights

✨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 TFG Brands London!

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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 Engineer: Turn Data into Retail Insights at TFG Brands London.

✨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 TFG Brands London.

✨Apply Directly through Our Website

When you find a suitable opening like Power BI Engineer: Turn Data into Retail Insights at TFG Brands London, 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 Engineer: Turn Data into Retail Insights

Power BI
Data Visualisation
Reporting Solutions
Data Modelling
Dashboard Maintenance
Stakeholder Collaboration
Analytical 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 TFG Brands London, 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 TFG Brands London. 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 TFG Brands London

✨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 TFG Brands London!

✨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.