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Analytics Engineer transforming data into actionable insights for Moonpig Group's platform. Collaborating across departments to drive data - driven decisions with data transformation and engineering skills.
About the role
- Model, build, and productionise robust data assets using dbt and BigQuery
- Maintain and evolve the semantic layer in Looker to support consistent, self-serve analytics
- Ensure data is transformed, tested, and of high quality before consumption by downstream users
- Collaborate with analysts, product managers, and engineers to understand requirements and deliver trusted data models
- Document and expose data assets in a way that is easy to understand and use
- Apply and advocate engineering best practices across analytics codebases
- Maintain the data catalogue and support a single source of truth for analytics
- Analyse workflows and collaborate with data engineers to improve performance and maintainability
- Be proactive in identifying opportunities to reduce complexity and cost across the data platform
- Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
Requirements
- 3–5 years of proven experience in analytics engineering or data modelling, working on production-grade data models and semantic layers within a large-scale, cloud-based data platform
- Has hands-on experience with dbt and understands modular data modelling best practices
- Is confident writing and optimising complex SQL queries in BigQuery (or Redshift/Snowflake)
- Has experience working with Looker (Core) and maintaining semantic layers (LookML)
- Has worked in a production environment where data models are used to power business-critical reporting and dashboards
- Understands the importance of documentation, testing, and version control (Git) in analytics workflows
- Has experience working in a cloud-native environment - GCP highly preferred, also AWS
- Optimistic, curious and gets excited by tech, enjoys keeping up with current trends.
- Actively gets involved and enjoys contributing to tech events
- Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
- Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
Benefits
- Cash plan for dental, optical and physio treatments
- Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan
- 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes
- Hybrid working pattern with 2 days in office
- Contributory stakeholder pension
- Life assurance at 4x your basic salary to a spouse, family member or other nominated person in your life
- Competitive compensation package
- Paid leave for maternity, paternity, adoption & fertility
- Travel Loans, Bike to Work scheme, Rental Deposit Loan
- Charitable contributions through Payroll Giving and donation matching
- Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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