Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Analyst

SAGA PLC
Folkestone
1 week ago
Create job alert
Overview

As the Senior Data Analyst at Saga, you will play a pivotal role in shaping our data strategy and the development of analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques.

Responsibilities
  • Data Analysis and Interpretation: Develop and oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives
  • Reporting and visualisation: Develop and deliver clear and impactful reports and visualizations to communicate key findings to stakeholders. Ensure that reports and dashboards are insightful and align with business objectives
  • Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand analytical requirements and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts
  • Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues
  • Agile ways of working: Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities
  • Continuous improvement: Stay abreast of industry trends, emerging technologies, and best practices in data analytics. Bring the most relevant ones back to Saga and find ways to implement them to unlock business value
  • Working as a Senior Data Analyst at Saga, you will work closely with business stakeholders and SMEs across marketing functions and our business units. You will be passionate about the accuracy of data and insights. Ideally have gained exposure in a Data Analyst role with large customer data sets and can demonstrate the following skills and experience:
  • Proven experience in an analytical role, with a track record of successful project delivery
  • Can analyse complex data challenges, identify solutions and implement effective strategies
  • Strong analytical and quantitative skills, with proficiency in statistical analysis and data visualization tools.
  • Experience with analytics tools such as SQL, Python, and Tableau
  • Excellent communication skills with the ability to convey complex analytical concepts to both technical and non-technical stakeholders
  • Have worked in an agile development environment, with a focus on iterative and collaborative project delivery
  • A curious nature, with the drive to learn and master new tech and methods
  • Ideally have gained a bachelor's or master's degree in a relevant field such as Statistics, Economics, Mathematics of Business Analytics
Saga Values and Working Context

Saga Values: Make it Happen, Do the Right Thing, Customer First, Excellence Every Day, Our People Make Us Special

Saga is the most trusted brand for people over 50 in the UK. We have been designing and delivering products and services in this space for decades. We are customer focussed and insight driven, meaning your role in our central function of Analytics & Decision Science has a real impact! We work in a hybrid way at Saga both at home and in the office. When you do come into the office, it\'ll be with a real purpose in mind - to meet with your team, to work together, and of course to socialise and celebrate too! The team get together about once or twice a week in either London or Folkestone. You will need to be in a commutable distance. Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. We\'re one of the most recognised and trusted brands amongst UK consumers in this demographic, recognised for its high-quality products and exceptional standards of service. Our product portfolio includes cruises, holidays, insurance, personal finance products and our Saga Magazine. We aim to be the most-trusted brand for older people in the UK. Our focus on delivering exceptional products and service empowers our colleagues to create moments that are personal and special for our customers and for each other. Our values underpin our approach and help guide us to deliver our purpose. We\'re committed to making sure that colleagues can be their best, be themselves and make a difference - more than anywhere else. We do this by creating a truly inclusive culture, where all colleagues can bring their full and authentic selves to work and be treated with dignity and respect in an environment that is free from discrimination and harassment. Thanks to our people, Saga has been ranked 6th in the UK\'s Best Employers 2025 by the Financial Times and Statista. This recognition, based on the voices of 20,000 employees across the UK, is a testament to the great culture we\'ve built together. This award belongs to all our colleagues who collectively make Saga a fantastic place to work. We are champions of age inclusivity and signatories of the Age-Friendly Employer Pledge, we are proud of our multigenerational teams we have in place. We\'re also a committed Disability Confident employer and ensure that our recruitment process is inclusive and accessible.

At Saga we recognise that our people make us special. We believe our colleagues deserve rewards for the excellence they demonstrate every single day, that\'s why we have put together an amazing benefits package for all colleagues.

Benefits
  • 25 days holiday + bank holidays
  • Option to purchase additional leave - 5 extra days
  • Pension scheme matched up to 10%
  • Company performance related annual bonus - Up to 5%
  • Life assurance policy on joining us, 4 x salary
  • Wellbeing programme
  • Colleague discounts including family discounts on cruises, holidays and insurance
  • Range of reductions and offers from leading retailers, travel groups and entertainment companies
  • Enhanced maternity and paternity leave
  • Grandparents leave
  • Income protection
  • Access to Saga Academy, our bespoke learning platform


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Analyst - Electronics Engineering Manufacturing

Senior Data Analyst - SQL & Python

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.