Operations Analytics & Insight Lead

Harnham; Greater London; Hybrid; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Hybrid work model

Performance-related bonus

Leadership exposure and career growth

Job summary

Harnham is seeking an Operations Analytics & Insight Lead in London with a hybrid pattern (3 days in office). The role combines people leadership, strategy, and hands-on analytics to drive operational performance and AI-enabled transformation.

You will define the analytics roadmap, manage senior stakeholder expectations, and deliver measurable business impact across a complex environment. Strong SQL, statistics and experience with AI tools are essential.

Qualifications

• Proven experience leading analytics teams and setting strategy.
• Advanced SQL, statistics, experimentation and performance measurement.
• Ability to translate complex challenges into actionable analytics.
• Experience with AI/tools to automate processes and improve Outcomes.
• Experience in regulated/financial services environments is a plus.

Responsibilities

• Lead and develop a team of analysts with analytics engineering support.
• Define and deliver the analytics roadmap across operations.
• Partner with senior stakeholders to prioritise work and drive decisions.
• Develop measurement frameworks for performance, efficiency and outcomes.
• Deliver hands-on analysis using SQL and experimentation techniques.
• Support AI and automation initiatives with analytics and insights.

Skills

Analytics leadership

Analytics strategy

SQL expertise

Statistics & experiments

Stakeholder management

Python for analytics

Education

STEM degree

Tools

dbt

Airflow

Git

Looker

Tableau

Python

Job description

London (3 days hybrid) | £100,000 + Bonus + Benefits

Are you an analytics leader who enjoys combining hands-on delivery with strategic influence? This is an opportunity to join a highly data-driven organisation where analytics plays a central role in operational performance, customer experience, automation, and AI-enabled transformation. You'll have the chance to shape analytics strategy, lead a talented team, and drive measurable business impact across a complex operational environment.

The Company

This organisation is a well-established digital business operating at scale, serving a large global customer base through innovative technology platforms. They have invested heavily in data, analytics, and AI, creating a mature analytics environment where insight directly influences strategic decision-making.

The Role

As the Operations Analytics & Insight Lead, you will be responsible for leading operational analytics strategy while remaining close to delivery. This role combines people leadership, stakeholder management, technical analytics, and process improvement.

Key responsibilities include:

• Leading and developing a team of analysts, supported by analytics engineering resources
• Defining and delivering the analytics roadmap across operational functions
• Partnering with senior stakeholders to prioritise work and influence strategic decisions
• Developing frameworks to measure operational performance, efficiency, and customer outcomes
• Delivering hands-on analysis using SQL, experimentation, and statistical techniques
• Designing and implementing robust measurement methodologies and performance frameworks
• Automating manual reporting and analytical processes to improve scalability
• Supporting AI and automation initiatives through analytics, measurement, and operational insight
• Providing reporting and insight on chatbot, copilot, and AI-enabled operational tools
• Establishing best practices and raising analytical standards across the function

Your Skills & Experience

To be successful in this role, you will bring:

• Proven experience leading and developing analytics teams
• Strong commercial experience setting analytics strategy and influencing senior stakeholders
• Advanced SQL skills with the ability to remain hands-on
• Strong statistical knowledge, including experimentation, significance testing, and performance measurement
• Experience translating complex business challenges into actionable analytical solutions
• Practical experience applying AI tools and automation to improve business processes
• Experience operating within regulated industries, financial services, fintech, or similarly complex environments
• Excellent stakeholder management and communication skills
• A STEM degree is highly desirable and will be viewed favourably
• dbt, Airflow, and Git
• Looker, Tableau, or similar BI tools
• Python for analytics or automation
• Workforce management, customer service, contact centre, onboarding, KYC, or operational analytics experience
• Building scalable reporting, automation, and self-service analytics capabilities

What They Offer

• Salary up to £100,000
• Performance-related bonus
• Hybrid working model with three days per week in the office
• Leadership responsibility with ownership of a growing analytics function
• Significant exposure to senior decision-makers
• Opportunity to shape analytics strategy and operational transformation
• Involvement in high-profile AI, automation, and digital innovation programmes
• Strong career development and progression opportunities within a data-led organisation