At a Glance
- Tasks: Transform data into insights, build models, and create dashboards to solve business challenges.
- Company: Dynamic company in Nottingham with a focus on innovation and collaboration.
- Benefits: Up to £48k salary, remote work, and opportunities for professional growth.
- Other info: Flexible role tailored to your career ambitions with excellent development support.
- Why this job: Make a real impact using data and cutting-edge AI tools in a supportive environment.
- Qualifications: Strong SQL skills and a passion for problem-solving and continuous learning.
The predicted salary is between 48000 - 48000 £ per year.
Location: Nottingham
Working Arrangement: Remote, quarterly visits
Salary: Up to £48k
Are you passionate about turning data into meaningful business insights? Whether you're an experienced Data Analyst looking to move into Analytics Engineering, an early-career professional eager to develop modern data skills, or an established Analytics Engineer looking for greater ownership, we'd love to hear from you.
This role is centred on analytics engineering—building data models, defining trusted business metrics, and working closely with stakeholders to solve commercial challenges. Data infrastructure, ingestion and platform engineering are managed by a dedicated team, allowing you to focus on delivering high-quality analytics that influence business decisions.
The Opportunity
You'll work across the full analytics lifecycle, developing warehouse models that power reporting, creating trusted business metrics, building dashboards, and partnering with teams across Commercial, Product, Finance and Engineering to answer complex business questions. You'll also help make data more accessible by improving documentation, supporting self-service analytics and contributing to AI-powered tools that help colleagues explore and understand data more effectively.
No two days are the same. You'll work on projects ranging from revenue and conversion metrics to customer journey analysis, payment performance and predictive analytics, with the opportunity to influence how data is used across the business.
Grow Your Career
They've intentionally kept the level of this role flexible because we're interested in potential as much as experience. Depending on where you are in your career, you'll have the opportunity to deepen your expertise in analytics engineering, expand into data engineering technologies, or develop into a trusted partner for senior business stakeholders, leading strategic analytical initiatives. Your development will be shaped around your strengths, interests and career ambitions.
About You
The one essential technical requirement is strong SQL skills. Beyond that, they're looking for someone who enjoys solving problems, can work independently, communicates confidently with a range of stakeholders and is excited by continuous learning.
You don't need experience with every technology they use. If you have analytical curiosity, strong fundamentals and the willingness to learn tools such as dbt, BigQuery, semantic modelling, BI platforms and AI-assisted development, they'll support you in building those skills.
AI is embedded into the way the team works. They use modern AI tools to accelerate model development, documentation, code reviews and analytical exploration, allowing our people to spend more time on critical thinking, stakeholder collaboration and solving business problems. You'll be encouraged to use AI as a productivity partner while remaining accountable for the quality, accuracy and impact of your work. If you're excited by combining analytical expertise with emerging technology, you'll feel right at home.
You'll join a collaborative team where your ideas are valued, your work has visible impact and your development is actively supported. You'll work on meaningful business challenges, learn modern analytics engineering practices and have the freedom to shape both your role and your career as the business continues to grow.
We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.
Data Analytics Engineer in Nottingham employer: Rebel Recruitment Limited
Rebel Recruitment Limited is an excellent employer for those seeking a dynamic role as an ERP SAP B1 Support Specialist in Nottingham. With a hybrid working arrangement, employees benefit from a flexible work-life balance while being part of a supportive team that prioritises technical skill development and collaboration. The company fosters a positive work culture that encourages growth and innovation, making it an ideal place for individuals looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer in Nottingham
✨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 Rebel Recruitment Limited!
✨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 Rebel Recruitment Limited.
✨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 Rebel Recruitment Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analytics Engineer at Rebel Recruitment Limited, 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 Nottingham
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 Rebel Recruitment Limited, 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 Rebel Recruitment Limited. 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 Rebel Recruitment Limited
✨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 Rebel Recruitment Limited!
✨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.
