Data Analytics Manager

Harnham - Data & Analytics Recruitment; City Of London; Hybrid; GBP 60,000 - 100,000; Full time

Benefits offered by this job

Hybrid work 2-3 days per week

Competitive benefits

Job summary

Harnham - Data & Analytics Recruitment in London is seeking a Data Analytics Manager to influence data strategy and AI adoption while staying hands-on with high-impact initiatives.

You will lead analytics programs, drive semantic layers, metric governance, and modern BI practices. This role partners with Data, Product, and Engineering to deliver business value in a regulated environment.

Qualifications

• Strong commercial experience in analytics, BI, analytics engineering, data strategy, or related field.
• Advanced SQL and data modelling skills with knowledge of modern analytics tools.
• Experience developing semantic layers, metric frameworks, and self-service reporting capabilities.
• Knowledge of dbt, MetricFlow, LookML or equivalent technologies.
• Strong understanding of analytics architecture, data governance, and BI principles.
• Proven ability to influence senior stakeholders and drive change.

Responsibilities

• Drive innovation across analytics, identifying opportunities to leverage AI, automation, and modern tooling.
• Define and implement strategies for semantic layers, self-service analytics, and metric governance.
• Improve technical standards to ensure scalable, reliable analytics solutions.
• Partner with Data, Product, Engineering and business stakeholders to shape analytics strategy.
• Lead analytics initiatives that drive measurable business value.
• Own analytics products, reporting frameworks and enterprise metrics.
• Influence data platform, tooling and architectural decisions.
• Evaluate emerging technologies and translate ideas into practical solutions.
• Provide technical leadership and coaching across the analytics community.
• Advise on analytics best practice, governance and capability development.

Skills

Advanced SQL

Data modelling

Semantic layers

Metric frameworks

Self-service analytics

AI in analytics

Analytics architecture

Stakeholder influence

Hands-on delivery

Team leadership (coaching)

Tools

dbt

MetricFlow

LookML

Job description

Data Analytics Manager

London (Hybrid, 2-3 days per week) Up to £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 £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.