Data Analytics Manager: Lead Data Strategy & Insights in Leicester

Data Analytics Manager: Lead Data Strategy & Insights in Leicester

Leicester Full-Time 47250 - 57750 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team to shape data strategy and drive insights for operational efficiency.
  • Company: Yü Group Plc, a top energy supplier in the UK.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a forward-thinking company with a focus on innovation and collaboration.
  • Why this job: Make a real impact by improving data quality and governance in a dynamic industry.
  • Qualifications: Experience in data analytics and team leadership required.

The predicted salary is between 47250 - 57750 £ per year.

Yü Group Plc is a leading energy supplier in the United Kingdom.

We are seeking an experienced Data Analytics Manager to shape our data strategy, drive insights, and improve operational efficiency across the business.

You will lead a small team of analysts, develop analytics capabilities, create reports and dashboards in Power BI and Tableau, and work with Risk and Compliance to ensure data quality and governance.

Hybrid work in Leicester with 37.5 hours per week.

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Data Analytics Manager: Lead Data Strategy & Insights in Leicester employer: Yu Energy

At Yu Energy, we pride ourselves on being an excellent employer, offering a supportive work culture that prioritises employee growth and development. As a Dual Fuel Metering Engineer in Inverness, you'll benefit from comprehensive training, competitive salaries, and a robust benefits package, all while being part of a nationwide team dedicated to delivering innovative smart metering solutions.

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Contact Details:

Yu Energy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analytics Manager: Lead Data Strategy & Insights in Leicester

✨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 Yu Energy!

✨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 Data Analytics Manager: Lead Data Strategy & Insights at Yu Energy.

✨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 Yu Energy.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analytics Manager: Lead Data Strategy & Insights at Yu Energy, 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 Data Analytics Manager: Lead Data Strategy & Insights in Leicester

Data Strategy Development
Insights Generation
Operational Efficiency Improvement
Team Leadership
Analytics Capabilities Development
Report Creation
Dashboard Development

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 Yu Energy, 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 Yu Energy. 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 Yu Energy

✨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 Yu Energy!

✨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.