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# Data Analytics Manager

- **Company:** Harnham
- **Location:** London, UK
- **Salary:** £90,000.0 - £100,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Governance, Data Infrastructure, Software Architecture, Sql Optimization, Data Strategy, Data Layers, Data Analytics, Tools for Reporting
- **Published:** September 5, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-analytics-manager/57311099

## About the Role

* Strong commercial experience in analytics, business intelligence, analytics engineering, data strategy, or a related field.
 * Advanced SQL and data modelling skills, with strong knowledge of modern analytics tools and platforms.
 * Experience developing semantic layers, metric frameworks, and self-service reporting capabilities.
 * Knowledge of tools such as dbt, MetricFlow, LookML, or equivalent technologies.
 * Strong understanding of analytics architecture, data governance, and modern BI principles.
 * Proven ability to influence senior stakeholders and drive change without direct authority.
 * Strong interest in AI and its application within analytics and decision-making environments.
 * Comfortable balancing strategic thinking with hands-on delivery.
 * Excellent communication skills and the ability to engage both technical and non-technical audiences.
 * Experience within a regulated industry is advantageous but not essential.

## Description

* Drive innovation across analytics, identifying opportunities to leverage AI, automation, and modern analytics tooling.
 * Help define and implement strategies for semantic layers, self-service analytics, and metric governance.
 * Improve technical standards, ensuring analytics solutions are scalable, reliable, and consistent.
 * Partner with Data, Product, Engineering, and business stakeholders to shape analytics strategy.
 * Lead strategically important analytics initiatives that drive measurable business value.
 * Own and develop key analytics products, reporting frameworks, and enterprise metrics.
 * Influence data platform, tooling, and architectural decisions.
 * Evaluate emerging technologies and translate promising ideas into practical solutions.
 * Provide technical leadership and coaching across the wider analytics community.
 * Act as a trusted advisor on analytics best practice, governance, and capability development.


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