National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analytics Manager

Harrison Holgate
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Analytics Manager

Data Analytics Manager

Data Analytics Manager

Data Analytics Manager

Data Analytics Manager -Technology Risk Assurance – London

Data Analytics Manager...

A unique opportunity to join a Leading Insurance Provider as a Data & Analytics Manager in London.

This role offers an unparalleled chance to shape the future of data-driven decision-making within a dynamic and innovative environment.

The ideal candidate will be a front facing Data Analysis/Visualisation expert with strong

Google Platform / Medallion Architecture experience.

Why This Role Stands Out:

Impactful Work:

Drive innovation and data design changes that empower leadership and the entire organisation towards data-driven decision making.

Collaboration : Work closely with leaders, third parties, and developers to establish and maintain a high-performing Data and Analytics technology framework.

Leadership : Lead the Analytics and GenAI initiatives, leveraging cutting-edge tools to drive business strategy.

Global Engagement:

Collaborate with the US parent company to facilitate global reporting and align local analytics.

Key Responsibilities:

Develop best practice solutions for sustainable and flexible data solutions.
Act as an expert solution partner, providing both reactive and proactive recommendations for strategic goals.
Lead the maintenance and expansion of Silver Layer Medallion architecture.
Design and develop integrated data solutions that align with enterprise architecture standards.
Ensure compliance with all applicable legal and regulatory requirements.
Skills, Knowledge & Experience:

Insurance knowledge is essential.
Highly driven and customer-focused individual with up-to-date knowledge in the Data & Analytics sector.
Advanced expertise in Cloud SQL, Informatica, Tableau, Google Products (BigQuery, Composer, Vertex AI), and APIs.
Proficient in Medallion architecture, including design and delivery of its components with ACORD influenced standards.
Knowledge in in-memory, appliances, event processing, cloud solutions, and data quality applications.
Experience in process mapping and business modelling, supporting logical data modelling both conceptually and physically

As true market specialists we work in partnership with our candidates and clients, delivering unrivalled market knowledge and insight. Driven by our passion to become the partner of choice we offer tailored advice and guidance...

#J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Careers

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Jobs

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.