Data Analytics Manager

City of London
5 days ago
Create job alert

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

Related Jobs

View all jobs

Analytics Manager

AI Scientist

Data and BI Manager

Senior Data Delivery Project Manager - Insurance/Financial Services

Head of DDaT

Senior Security Architect

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Edge Computing Pros Fuel Creativity and Innovation

Edge computing continues to disrupt traditional cloud-centric models, enabling low-latency data processing, reducing network congestion, and unlocking real-time insights across diverse industries. From smart manufacturing floors to autonomous vehicles and healthcare devices, the potential impact of edge computing is immense. Yet, professionals in this field face constant challenges—balancing constraints of limited on-device resources, ensuring security at the edge, and rapidly integrating new hardware and software innovations. How do edge computing experts keep fresh ideas flowing amid these demands? Below, we explore ten practical strategies that empower edge architects, IoT developers, infrastructure engineers, and solution consultants to stay inspired and continually innovate. Whether you’re building next-generation IoT solutions or refining multi-access edge computing (MEC) platforms, these tips can help you approach complex problems with creativity and renewed passion.

Top 10 Edge Computing Career Myths Debunked: Key Facts for Aspiring Professionals

Edge computing is rapidly reshaping how data is processed, analysed, and acted upon—bringing computation and storage closer to the actual sources of data, whether that’s a factory floor, a smart device, or an autonomous car. As the demand for latency-sensitive applications grows—think autonomous vehicles, augmented reality, and real-time analytics—so does the need for skilled professionals who can architect, implement, and maintain robust edge computing solutions. Yet, as with any emerging tech discipline, misconceptions about edge computing careers abound. Some assume the field is only for hardware wizards or giant telecoms; others believe you need a PhD in distributed systems to get started. At EdgeComputingJobs.co.uk, we see firsthand how such myths can dissuade bright minds from joining an industry that’s on the cusp of significant global impact. This article aims to debunk the top 10 myths around edge computing careers, providing clear-eyed insights into the actual opportunities and requirements within this exciting space. Whether you’re a seasoned tech professional exploring new horizons or a newcomer drawn to the prospect of real-time data processing, we invite you to read on and discover why edge computing might be the perfect new frontier for your career.

Global vs. Local: Comparing the UK Edge Computing Job Market to International Landscapes

A guide to opportunities, salaries, and work culture in edge computing across the UK, the US, Europe, and Asia For years, cloud computing has dominated conversations about digital transformation, providing the on-demand resources and scalability that organisations need to innovate. However, another paradigm is rapidly gaining momentum: edge computing. By processing data closer to its source (think sensors on a factory floor or cameras in a smart city), edge computing can reduce latency, improve reliability, and even lower bandwidth costs. It’s already transforming industries such as manufacturing, autonomous vehicles, healthcare, and telecom—sparking strong demand for professionals who can design, deploy, and manage distributed systems at the “edge.” In this blog post, we’ll explore how the UK’s edge computing job market compares to major international hubs: the United States, Europe, and Asia. We’ll evaluate current hiring trends, salary ranges, and work culture factors, offering insights for anyone considering an edge computing career—whether locally in the UK or abroad. Whether you’re an embedded systems engineer, a cloud specialist pivoting to edge, or a data scientist branching into IoT analytics, understanding these global vs. local nuances can help you plan your next career move. By the end, you’ll have a comprehensive view of the evolving edge computing landscape, including which regions are leading adoption, what skill sets are most valued, and how compensation stacks up around the world. Let’s delve in.