Analytics Engineer

Analytics Engineer | Hybrid | 2-3 days in the office Build the backbone of data-driven decision-making.We're looking for an Analytics Engineer to design, optimise, and maintain the data infrastructure that powers insights across the business.What you'll do Data Ownership & Architecture

• Own the end-to-end data landscape across CRM, project delivery, HRIS, finance, and marketing systems.
• Develop and maintain a unified data architecture for reporting, analytics, and insights.
• Ensure robust, accurate, and scalable integrations between systems.

Data Quality, Pipelines & Analytics

• Build and optimise data pipelines for reliable, timely data availability.
• Define governance standards to ensure data quality and integrity.
• Manage complex SQL datasets and models to support forecasting and proactive insights.

Cross-Functional Collaboration

• Work closely with Sales, Delivery, People, Finance, and Marketing teams to understand data needs.
• Enable dashboards and reporting frameworks that empower data-driven decisions.
• Translate technical data into clear, actionable insights for stakeholders.

Continuous Improvement

• Identify opportunities to automate and streamline data processes.
• Lead initiatives to enhance data capture, management, and interpretation.
• Recommend and implement tools that improve analytical capability.

What you'll bring

• 4+ years in Analytics Engineering, BI, or similar data-focused role.
• Advanced SQL skills for complex queries across multiple systems.
• Experience with CRM data (Salesforce, HubSpot) and at least one operational or finance system.
• Skilled in dashboard/reporting tools (Power BI, Tableau, Looker).
• Strong ability to transform raw data into actionable insights and commercial recommendations.
• Experience in data governance or process improvement.
• Bonus: Financial or operational modelling experience.

If you think this sounds like you, please apply now!

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