Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As a Senior Analytics Engineer, you will act as a technical leader within the Analytics function, driving best practices and helping the team evolve how we work with data. 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.
Responsibilities
- 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.
Requirements
- 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.
Skills
- dbt
- SQL
- Python
- Snowflake
- Databricks
- Power BI
- ThoughtSpot
- AI
- Automation
Location
- Hybrid
Work Type
- Hybrid
- Work from anywhere
Experience Level
- Senior
Benefits
- Flexible working
- Hybrid work model (typically 2 days in the office)
- Work from anywhere policy
- 25 days annual leave (+ bank holidays)
- Annual leave increasing with length of service
- Extra day off for your birthday
- Summer hours
- Learning & Development opportunities
- Vast range of courses through learning platform
- Structured career progression plans
- Private Medical Insurance
- Healthcare cash plan
- Mental health support via Help@Hand
- Workspace assessment for home setup
- Paid volunteer days
- Charity donation via salary sacrifice (company match)
- Give as You Earn
- Car purchase scheme
- Access to additional benefits through online platform
- Gym discounts
About the Company
- Retail Insight is 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.
Equal Opportunity
- 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.