MONY Group plc

Data Analyst

• Work pro-actively within the data analytics team to deliver high impact projects
• Empower people across the business to make data-driven decisions by building self-serve reports and recommendations
• Deliver actionable insights across MoneySuperMarket, MoneySavingExpert, and QuidCo brands
• Build relationships with stakeholders and ensure your work is communicated across the business
• Present findings and recommendations tailored to the relevant audience
• Troubleshoot and optimise existing data sources
• Work together with Data Engineers to productionise valuable output from your projects to commonly used data tables
• Support and be supported by other data analysts, data scientists, and data engineers through knowledge sharing and upskilling

Data Engineer

• Build and operate the data platform
• Contribute to the design, delivery and operation of platform infrastructure using infrastructure-as-code, primarily Terraform.
• Improve CI/CD pipelines, deployment practices and platform tooling that enable data teams to self-serve safely.
• Work with security, compliance and data protection colleagues to reduce risk and improve data handling practices.
• Deliver reliable data products
• Build robust, scalable data solutions that support business needs such as CRM, SEO, financial reporting and personalisation.
• Stay close to the business context and apply software engineering practices to solve specific data problems.
• Improve monitoring, alerting, data quality checks and observability so issues are detected and understood quickly.
• Improve engineering workflows with AI and automation
• Identify repeated or high-friction engineering tasks and turn them into reliable automated or AI-assisted workflows.
• Help shape team practices for coding agents, prompts, local instructions, skills, hooks and tool integrations where they deliver real value.
• Balance speed with security, reviewability and maintainability when introducing AI-assisted delivery patterns.
• Enable the wider team
• Share practical learning through documentation, demos, pairing and show-and-tell sessions.
• Support more junior team members through coaching, code review and clear engineering standards.
• Keep an informed view of the fast-moving AI tooling landscape and recommend adoption where it solves real team problems.

Data Analyst

Senior Data Engineer