As our Analytics Engineer, you will play a vital role in delivering scalable, reliable, and high-impact analytics solutions across the business. Reporting to the Lead Analytics Engineer, your focus will be on building integrated data models and products that empower teams to make informed, data-driven decisions.
This role bridges the gap between data engineering and business intelligence. You'll collaborate across departments, translating business questions into analytics-ready datasets powered by our Data Platform. You'll ensure data is ingested, transformed, and presented effectively—making you a trusted advisor on all things data.
If you're a dynamic, analytical thinker with a passion for delivering high-quality insights, we’d love to hear from you.
Analytics Engineer Key Responsibilities:
As we continue to grow and evolve our data capabilities, your responsibilities will include:
- Delivering clean, well-tested, and transformed data models for business consumption
- Developing impactful dashboards and data products using SQL, Power BI, MS Fabric, or Tableau
- Maintaining and enhancing existing data pipelines and products using modern tools and technologies
- Applying software engineering best practices (version control, CI/CD) within the analytics codebase
- Collaborating with analytics and data science teams to deliver timely, high-quality data solutions
- Translating stakeholder needs into actionable insights and data models
- Promoting best practices in data visualisation and storytelling to maximise the impact of insights
- Supporting squad-level initiatives and ensuring alignment with business goals
- Identifying and resolving data quality and integrity issues
What We’re Looking For:
We're looking for individuals who align with our values—One Team, Ownership, Honest Communication, and a Passion for Learning and Innovation. You’ll thrive in this role if you're eager to contribute to a collaborative, high-performing environment.
Essential Qualifications & Experience:
- Degree in a numerate discipline (or equivalent analytical apprenticeship)
- Strong SQL skills
- Good understanding of ETL/ELT processes
- Exposure to Python or another object-oriented language
- Experience with cloud data platforms such as MS Fabric, Snowflake, Databricks, Teradata, or AWS
- Proven ability to develop insightful dashboards and reports using Power BI or Tableau
- Comfortable managing workloads and communicating progress clearly
- Strong communication skills with an ability to understand and translate business needs
Desirable Experience:
- Hands-on experience with Azure Synapse, Azure Data Factory, or MS Fabric
- Understanding of commercial environments—preferably holiday lettings or travel
- Exposure to eCommerce or digital performance analytics (web/mobile)
- Agile/scrum team experience
- Familiarity with tools like JIRA, GitHub, or Bitbucket
Additional Useful Skills:
- Experience with Apache Kafka or other data streaming tools
- Familiarity with AWS services (e.g. S3, Athena)
- Experience with SQL Server, SSIS, SSAS
What You’ll Get in Return:
- We offer a wide range of benefits designed to support your wellbeing, development, and work-life balance:
- Annual Bonus Scheme – up to 10% performance-based bonus
- 33 Days Holiday – including bank holidays (plus 5 extra days with long service)
- Birthday Day Off
- 2 Paid Volunteering Days
- Enhanced Parental Leave – 24 weeks maternity, 3 weeks paternity at full pay
- Exclusive Discounts – on holidays for you, family and friends
- Wellbeing Initiatives – discounts, health support, and a new Health Cash Plan
- Training & Development – tailored programs to support your career growth
- Mental Health Support – 24/7 access
- Chester HQ Perks – free parking, on-site gym, and close to the train station
- Long Service Awards
- Hybrid Working – flexibility to work from home for selected roles
- B Corp Certified – one of only 1,000 in the UK
Diversity & Inclusion Policy:
We’re proud to be a place where people can bring their whole, authentic selves to work. We value different ideas, perspectives, and backgrounds and recognise that diversity drives innovation and success. If you need any support or accommodations during the recruitment process, just let us know—our team is happy to help.
Working Hours: Monday to Friday, 9:00am – 5:30pm (37.5 hours per week)
Department: Data & Analytics
Reporting Line: Reporting to the Lead Analytics Engineer
Position: Analytics Engineer - Salary: Approximately £45,000 per annumLocation:
Location: Flexible hybrid model – minimum of two days per week based at our Chester Head Office
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