Data Analytics Manager

Data Analytics Manager

Full-Time No working from home possible
H

Data Analytics Manager

London (Hybrid, 2-3 days per week) Up to Β£100,000 + Benefits

This is an opportunity to take on a highly influential individual contributor role within a growing analytics function. You will help shape the future of analytics, data strategy, and AI adoption, driving meaningful change across the organisation while remaining hands-on with high-impact initiatives.

The Company

This organisation is investing heavily in its data and analytics capabilities to support better decision-making at every level of the business. With a strong focus on innovation, modern data platforms, and AI-enabled solutions, they are transforming how insight is generated and consumed.The business offers a collaborative environment where analytics plays a strategic role, creating an excellent opportunity for someone who enjoys combining technical expertise with commercial impact.

The Role

  • 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.

Your Skills & Experience

  • 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.

What They Offer

  • Salary up to Β£100,000.
  • Hybrid working with 2-3 days per week in a London office.
  • Opportunity to shape the future direction of analytics within a data-led organisation.
  • Exposure to modern data platforms, AI initiatives, and enterprise-wide transformation programmes.
  • Strong learning and development opportunities.
  • Clear scope to increase your influence and impact within a high-performing analytics function.
  • Competitive benefits package and flexible working arrangements.

#J-18808-Ljbffr

Data Analytics Manager employer: Harnham - Data & Analytics Recruitment

Join a forward-thinking SaaS organisation in London, where you'll not only lead the Data Engineering function but also play a pivotal role in shaping the future of AI and data solutions. With a strong emphasis on innovation, employee development, and a collaborative work culture, this company offers clear progression opportunities and the chance to work on impactful projects that drive commercial success. Enjoy a supportive environment that values your expertise while you tackle exciting technical challenges and contribute to the growth of a rapidly expanding business.

H

Contact Details:

Harnham - Data & Analytics Recruitment Recruitment Team