Digital Analytics Engineer

Job Req ID: 57705

Posting Date:

Function: Data & AI

Location: One Braham, London

We are seeking an Analytics Engineer to design and build scalable analytical data models that support business intelligence, reporting and commercial analytics.

The role sits within a multidisciplinary data team responsible for delivering trusted analytical data products used across Digital, Commercial, Service and Marketing teams.

The ideal candidate will combine strong analytical thinking with advanced SQL engineering capability, and will have experience designing analytics-ready datasets used by BI tools or semantic layers.

1. Drives the design, coding, testing and deployment of data processes for ingestion, transformation and curation of data, ensuring compliance with data security and privacy standards.
2. Builds strong working relationships with product teams and stakeholders to translate business needs into clear analytical requirements and solution designs.
3. Ensures effective tracking, integration and optimisation of data within analytics environments, maintaining data quality and accessibility.
4. Monitors and interprets key reporting metrics (e.g., revenue, consumption, operational KPIs) to enable accurate performance tracking and insight generation.
5. Leads the delivery of Agile routines and ways of working, ensuring consistent, high quality and iterative delivery of analytical outputs.
6. Identifies and implements enhancements to data analytics processes, driving improvements to efficiency, reliability and scalability.
7. Analyses business needs and evaluates solution options, facilitating stakeholder alignment and contributing to the development of data driven strategies.
8. Undertakes quality assurance and testing of analytical routines, data models and frameworks to ensure accuracy, robustness and suitability for business use.
9. Support the evolution of the organisation's analytics data layer and self-service reporting capability
10. Develop robust SQL transformations to convert raw source data into trusted analytical assets
11. Design and implement scalable analytical data models in SQL used by BI tools and analytics platforms

• Advanced SQL skills with experience engineering complex analytical transformations.
• Proven experience building analytical data models used by BI tools or reporting platforms with experience designing analytics-ready datasets rather than ingestion pipelines.
• Strong experience with cloud data warehouse platforms (preferably Google BigQuery / GCP).

• Experience in working with digital data sources and data types. (Experience in working with Adobe Analytics advantageous)
• Experience working in commercial or marketing analytics environments
• Experience designing consistent business metrics used across reporting and analytics.
• Experienced in building analytics-ready datasets used by BI tools and reporting platforms
• Exposure to AI-enabled analytics tools or modern data workflows.
• Collaborative and comfortable working within cross-functional data teams

• Strong analytical mindset combined with engineering discipline.
• Comfortable working with complex business data and translating it into analytical structures.
• Experienced in building analytics-ready datasets used by BI tools and reporting platforms.
• Collaborative and comfortable working within cross-functional data teams.
• Commercially savvy, with the ability to translate complex information to senior stakeholders
• Passion for data analysis and problem solving with a proactive and analytical approach