Analytics Engineer

Reed.co.uk is looking for an Analytics Engineer to join their Insights Team in Holborn, London.

Overview

At Reed.co.uk, we believe the world should Love Mondays.

We’re looking for an Analytics Engineer to help scale our modern data platform and enable high-quality, self-serve analytics across the business. You’ll partner with Commercial and Marketing teams to deliver reliable, impactful data solutions, owning key datasets and driving better decision-making.

What success looks like in this role:

Within 3 months: You’re contributing to dbt models and comfortable navigating our data stack

Within 6 months: You’re owning datasets and delivering end-to-end projects with stakeholders

Within 12 months: You’ve significantly improved data quality, modelling standards, and self-serve adoption across our Marketing and Commercial teams.

Key Responsibilities

  • Design, build, and maintain scalable, well-tested data models using dbt

  • Develop, optimise, and maintain reliable data pipelines within Snowflake, with a focus on performance and cost efficiency

  • Translate business requirements into robust, maintainable, and reusable data products

  • Partner with stakeholders and Analytics Business Partners to deliver impactful data solutions

  • Build and evolve a semantic layer (e.g. Looker/LookML) to enable self-serve analytics

  • Ensure data quality through automated testing, validation, and monitoring, proactively identifying, investigating, and resolving data issues

  • Own data projects end-to-end, from discovery and design through to delivery and iteration

  • Collaborate with Analysts and Data Scientists to deliver trusted datasets powering dashboards, insights and other data products

  • Document data models and ensure clear data definitions to support consistency across reporting

Skills and Experience

  • 3+ years’ experience as an Analytics Engineer, BI Engineer, or similar

  • Strong hands-on experience with dbt (modelling, incremental models, macros, testing, documentation)

  • Advanced SQL skills and solid understanding of analytical data modelling (Kimball, Star schema, etc.)

  • Experience working with Snowflake or similar cloud data warehouses, including query optimisation

  • Experience building data models that support business-facing analytics and reporting

  • Familiarity with BI tools (Looker preferred; Tableau, Power BI, ThoughtSpot also relevant)

  • Strong stakeholder management and communication skills, with the ability to translate business needs into data solutions and present complex problems to a non-technical audience

  • Strong attention to detail, with a proactive approach to testing, monitoring, and improving data quality

  • Experience working with version control (git), CI/CD, and agile development practices

  • Ability to manage multiple projects and work independently on well-defined problems

Desirable Skills

  • Experience working with Salesforce, CRM and performance marketing data

  • Experience working on large-scale data transformation or platform modernisation projects

Tech Stack

  • Warehouse: Snowflake

  • Transformation: dbt

  • BI: Looker

  • Orchestration: Airflow

  • Version Control: GitHub

  • Other Tools: Adverity, OpenMetadata, Jira, Confluence

Benefits

  • Hybrid working (minimum of 3 days per week in office)

  • 25 days annual leave plus bank holidays

  • Flexible holiday scheme

  • Paid time off to move home 

  • Contributory pension scheme 

  • Enhanced family leave benefits

  • Insurance benefits including life assurance

  • Love Mondays events 

  • Discount scheme including gyms and popular retailers 

  • Range of wellbeing and mental health support avenues

  • Office in a fantastic location, with countless bars, restaurants and theatres right on the doorstep

  • These are just some great benefits we offer everyone working at Reed.co.uk!

Job Details

Company
Reed.co.uk
Location
London, South East, England, United Kingdom
Hybrid / Remote Options
Employment Type
Full-Time
Salary
£65,000 per annum
Posted