Retail Insight
Senior Analytics Engineer
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Help shape the future of retail analytics.
At Retail Insight, we're on a mission to help some of the world's biggest retailers and consumer goods brands make smarter decisions through data.
Our technology helps retailers improve availability, reduce waste, increase sales, and create better experiences for customers. Behind this is a growing Data & Analytics team that transforms complex data into meaningful commercial insights.
We're now looking for a Senior Analytics Engineer to play a key role in shaping how data is modelled, governed, and delivered across our business. This is an opportunity to combine deep technical expertise to build AI ready analytics solutions that power decision-making for both our teams and our clients.
What you'll be doing
As a Senior Analytics Engineer, you'll act as a technical leader within the Analytics function, driving best practices and helping the team evolve how we work with data. This includes;
- Design and maintain scalable data models using dbt and SQL
- Build and maintain trusted semantic layers and metric definitions
- Explore and implement AI-powered analytics solutions, including automated insight generation and AI agents
- Partner closely with our Customer Success teams to ensure we fully understand the business problem we're looking to solve through data
- Improve the performance, efficiency, and reliability of analytics workflows
- Mentor Analytics Engineers and Analysts, helping develop technical capability across the team
- Champion governance, documentation, and quality standards
- Work across multiple stakeholders to deliver high-impact, data-driven outcomes for the business and our clients.
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Our ideal candidate
We're interested in people who are passionate about solving problems with data and who enjoy helping others succeed.
- Proven experience in analytics engineering, data engineering, or a similar role
- Advanced SQL skills, ideally working with cloud platforms such as Snowflake or Databricks
- Strong experience with dbt and modern data modelling practices
- Python skills for automation and data manipulation
- Experience working with large-scale datasets and analytical environments
- An understanding of governance, lineage, version control and data quality frameworks
- Experience with BI and visualisation platforms such as Power BI or ThoughtSpot
- Excellent communication skills and the ability to engage both technical and non-technical stakeholders
- Curiosity about AI, automation, and emerging technologies, with experience using AI tools or building AI-enabled solutions being a real advantage.
Some of our extras...
- Flexible Working – Enjoy a hybrid work model (typically 2 days in the office) with flexibility based on business needs, plus a work from anywhere policy to give you freedom to explore.
- Time Off – 25 days annual leave (+ bank holidays), increasing with length of service, plus an extra day off for your birthday! We also operate summer hours so you can make the most of the sunshine.
- Learning & Development – Access a vast range of courses through our learning platform and benefit from structured career progression plans to support your growth.
- Health & Wellbeing – Private Medical Insurance, a healthcare cash plan, and mental health support via Help@Hand. Plus, we’ll ensure you have a safe and productive home setup with a workspace assessment.
- Giving Back – Take paid volunteer days to support your local community, donate to your chosen charity through salary sacrifice (we’ll match it!), and make a difference with Give as You Earn.
- Extra Perks – A car purchase scheme to make buying a new car easier, plus access to additional benefits through our online platform, including gym discounts.
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Our interview process
Our interview process typically consists of 3 stages:
- Hiring Manager intro call
- Skills Assessment
- Values based Interview
Be your authentic self - Retail Insight is committed to promoting equal opportunities in employment. All employees and any job applicants will receive equal treatment. We actively seek to create an environment where everyone feels respected, supported, and encouraged to contribute their best work.
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