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Data Analytics Manager

City of London
7 months ago
Applications closed

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Data Analytics Manager (AI-Focused)

Location: Hybrid (UK)

Salary: Competitive + Equity + Benefits

Join a dynamic and rapidly growing team on a mission to revolutioniz=se AI-driven analytics. They harness cutting-edge machine learning and data science to unlock insights that shape the future of Utulties, Telco, Insurance and Fintech. As they scale, we're looking for a Data Analytics Manager who is passionate about AI, data strategy, and leading high-impact teams.

The Role

We're seeking an exceptional Data Analytics Manager to lead our analytics team, driving AI-powered insights that fuel innovation. You'll collaborate with engineers, data scientists, and product teams to develop intelligent, data-driven solutions. This is an exciting opportunity to shape a forward-thinking analytics function in a high-growth environment.

What You'll Do

Lead & Scale - Build and mentor a high-performing data analytics team, fostering a culture of curiosity and innovation.
AI-Driven Insights - Leverage machine learning and AI to uncover deep insights, driving smarter decision-making.
Strategic Impact - Develop data-driven strategies to enhance customer experiences, optimize operations, and fuel growth.
Data-Driven Decision Making - Partner with stakeholders across the business to translate data into actionable insights.
Tech & Tools - Work with modern analytics tools, cloud platforms, and AI-driven methodologies to deliver scalable solutions.
Automation & Efficiency - Design automated reporting and dashboards to streamline data accessibility and impact.

What We're Looking For

Proven experience in data analytics, business intelligence, or AI-driven analytics, ideally in fintech or a high-growth environment.
Strong leadership skills, with a track record of managing and mentoring data teams.
Deep expertise in SQL, Python, or R, plus experience with cloud-based data platforms (AWS, GCP, or Azure).
Familiarity with AI/ML techniques and their practical applications in analytics.
Strong stakeholder management, able to bridge the gap between data, tech, and business strategy.
Passion for AI, automation, and staying ahead of emerging data trends.

Excited? We'd love to hear from you! Apply now and let's have a confidential conversation

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