Analytics Engineer
| Dyddiad hysbysebu: | 28 Tachwedd 2025 |
|---|---|
| Cyflog: | £55,000.0 i £60,000.0 bob blwyddyn |
| Gwybodaeth ychwanegol am y cyflog: | £60000 |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 05 Rhagfyr 2025 |
| Lleoliad: | London, London, EC4M 8AD |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | Hays Specialist Recruitment |
| Math o swydd: | Parhaol |
| Cyfeirnod swydd: | 4750122_1764346444 |
Crynodeb
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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