At a Glance
- Tasks: Transform raw data into actionable insights and build scalable solutions.
- Company: Join a forward-thinking company that values innovation and collaboration.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on continuous learning and development.
- Why this job: Make a real impact by automating processes and empowering teams with data.
- Qualifications: Experience in SQL, Python, and PowerBI; strong communication skills.
The predicted salary is between 40000 - 50000 £ per year.
As a Data Analytics Engineer, you will be at the heart of this evolution, bridging the gap between raw data and the actionable insights that drive our commercial success. Working closely with our Finance team at Head Office, you will design and build scalable solutions that transform how we see our business. This isn't just about managing numbers; it’s about making an impact by automating legacy processes and ensuring data integrity across our operations.
What You’ll Take On
- Collaborate with colleagues to translate business needs into tangible analytical solutions.
- Build and maintain robust data models and pipelines using SQL, Python, and Databricks.
- Create inspiring dashboards in PowerBI to showcase the KPIs and trends that shape our future.
- Learn to evolve by staying ahead of technical advancements, including generative AI and machine learning.
- Empower others by acting as a subject matter expert, providing training that enables the wider Finance team to conduct high-quality self-service analysis.
What You’ll Bring
- Proven expertise in developing interactive reports, particularly with PowerBI.
- Proficiency in SQL and Python for comprehensive data manipulation.
- A solid understanding of data warehousing and modelling techniques.
- The ability to work at pace, managing various tasks in our dynamic, fast-paced environment.
- A collaborative mindset, ready to partner with technology domains to ensure a single version of the truth across NEXT.
Data Analytics Engineer in Leicester employer: Next Careers
At Victoria’s Secret, we pride ourselves on being an exceptional employer, offering a vibrant work culture where teamwork and passion for customer service thrive. Our Sales Associates enjoy flexible shifts, comprehensive training, and opportunities for personal growth in a supportive environment, all while being part of a globally recognised brand that values creativity and innovation. Located in Exeter, our store provides a unique chance to engage with customers in a dynamic setting, making every day rewarding and enjoyable.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer 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 Next Careers!
✨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 Engineer at Next Careers.
✨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 Next Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analytics Engineer at Next Careers, 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 Engineer in Leicester
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 Next Careers, 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 Next Careers. 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 Next Careers
✨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 Next Careers!
✨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.
