Data & Analytics Manager (12 months)

NatWest

Croydon

1 year ago

Applications closed

Related Jobs

View all jobs

Data Analytics Manager

Data Analytics Manager: Lead Insights & Strategy

Senior Data Analytics Manager

Internal Audit-Data Analytics Manager

Data Analytics Lead — Hybrid, High-Impact Insights

Funds Tech Data Analytics Manager - Client-Facing, Hybrid

Join us as a Data & Analytics ManagerThis is an opportunity to take on a purpose-led leadership role in a cutting edge Data & Analytics teamActing as a consultant, you’ll understand the needs of our stakeholders to identify suitable data and analytics solutions to meet their needs and business challenges in line with our purposeYou’ll bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, giving you excellent recognition for your workWe’re offering this position for 12 monthsWhat you'll doAs a Data & Analytics Manager, you’ll be leading and coaching colleagues to plan and deliver strategic agreed project and scrum outcomes. You’ll drive the use of advanced analytics in your team to develop business solutions which meet the needs of our stakeholders and increase the understanding of our business, including its customers, processes, channels and products.As well as this, you’ll be:Working closely with business stakeholders to define detailed, often complex and ambiguous business questions, problems or opportunitiesPlanning and delivering data and analytics resource, expertise and solutions, which brings commercial and customer value to business challengesCommunicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage withAdopting and embedding new tools, technologies and methodologies to carry out advanced analyticsDeveloping strong stakeholder relationships to bring together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needsThe skills you'll needWe’re looking for a capable leader with a passion for data and analytics, and experience of coaching and supporting their colleagues to succeed. Along with advanced analytics knowledge, you’ll bring an ability to simplify data into clear data visualisations and compelling insight using appropriate systems and tooling.You’ll also demonstrate:Knowledge of data architecture, key tooling such as, Snowflake, AWS, Tableau and relevant coding languages such as SQL and PythonStrong knowledge of data management practices and principlesExperience of translating data and insights for key stakeholders Good knowledge of data engineering, data science and decisioning disciplines Strong communication skills with the ability to engage with a wide range of stakeholders

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

Industry Insights

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

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Jan 23, 2026

Education

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Jan 18, 2026

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.