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# Data Analytics Engineer

- **Company:** Rebel Recruitment Limited
- **Location:** Nottingham, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, BigQuery, Code Review, Information Engineering, Database Queries, Application Enhancement Tool, Data Analytics
- **Published:** July 27, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/41755016/

## About the Role

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

## Description

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


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