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

Apply Now

Data Analytics Manager

Lloyds Bank plc
Edinburgh
2 days ago
Create job alert

End DateMonday 20 October 2025Salary Range£65,385 - £72,650Flexible Working OptionsHybrid Working, Job Share, Reduced HoursJob Description SummaryBusiness Intelligence is changing – with artificial intelligence and Gen BI emerging to provide even more personalised self-service analytics across Group Finance. You’ll be a key team member as we evolve our delivery, bringing data to life through smart data preparation, fantastic visualisations or amazing prompt instructions.Job DescriptionKey DetailsJOB TITLE: Data Analytics Manager - Fixed Term Contract until 31/03/2027****SALARY: as per pay rangeLOCATION: Edinburgh Princes ExchangeADDITIONAL LOCATION(S): Bristol Harbourside, Halifax Trinity Road, Leeds Wellington PlaceHOURS: Full Time, 35 hours per week****WORKING PATTERN: Our work style is hybrid, which involves spending at leasttwo days per week, or 40% of our time, at one of our office sitesThere are two vacancies available, one Northern based and one Southern (Bristol).About this Opportunity Group Finance is central to Lloyds Banking Group and data is a key enabler to satisfying the needs of our internal and external customers. The Data Analytics team, within the Finance Platform, are empowering our customers through trusted data.Opportunities are emerging around us. Business Intelligence is evolving – from reports to dashboards, and now the new game changer - Generative Business Intelligence!The Data Analytics team works with end users across Finance to understand their data needs to support the business. We take their questions and provide answers in the form of amazing analysis, inventive data manipulations and logic, followed by clear data outputs – reports, dashboards or data storytelling.Our customers’ needs are diverse and wide. We support Finance across all of the Bank business Divisions. Consequently, we could use data from any system, for any product, and for any customer. We’re closely involved in the move to Google Cloud Platform and the construct of Data Products to control the data.We source, prepare and output the data. Where we’d previously have used a visualisation tool – Tableau or Power BI – we’re exploring how we can set up Gen BI to enable users to ‘ask questions’ to get their answers. This role helps the team establish and grow this capability, whilst still protecting the reporting we already have and the customers that serves.Why Lloyds Banking GroupIf you think all banks are the same, you’d be wrong. We’re an innovative, fast-changing business that’s shaping finance as a force for good. A bank that’s empowering its people to innovate, explore possibilities and grow with purpose.Day to day responsibilitiesYou’ll be part of a team across Edinburgh and Leeds/Halifax. We work to an agile fortnightly cadence. You’ll be assigned work, possibly a larger project, or maybe a smaller fix or amendment. You may work on this as a mini squad or on your own. At some points in the month you’ll support regular BAU data activities.You’ll liaise directly with identified customers to satisfy their requirements. You’ll likely work with other teams – whether that’s the Engagement team to provide progress updates, Data Management to help keep our data safe, or Data Engineering to support with any data you need.You’ll create some data magic to delight and inform your customer. You’ll bring the data to life; creating intuitive stories, adding valuable insight, aiding their own jobs with new perspectives into their data.You’ll take responsibility for your own personal growth, building your skills, and being part of a strong team. We’ll support you too with any training, support, mentoring or guidance you need. You’ll also help make Finance Platform a fantastic place to work – supporting our agenda on inclusion, growth and having fun. There’ll be lots of opportunities for you to get involved, be seen and to make a real difference.What you’ll need****Strong Teamwork – you’ll be part of a group of highly capable data professionals. You’ll often work together to support each other or just show each other what you’ve been working on. You’ll complete work that’s tasked to you and be on hand to help others as they need it. Your skills and experience may lead you to informal coaching and training within the team too.* The team will work across multiple work tasks simultaneously. You’ll play your part by providing progress updates using JIRA and following an agile methodology.Background in data – you’ll ‘get’ data, likely having progressed through various data roles through your career. You’ll understand the opportunities that strong data-led insight provides, but also the challenges of getting the right data, of good quality and providing automated solutions that deliver insight and flexibility to its users* You’ll work with customers to mature their requirements and then build great data products to drive insight. The team have recently worked on a project to look at the transaction flows of Retail customers between the Personal Current Accounts and their Savings products – both within LBG and to wider banks. They’ve then used visualisations to bring intuitive insight to this complex data set.Fantastic stakeholder skills – you’ll be comfortable liaising with customers and building new relationships across Finance. You’ll be bold to face into new challenges using new data sets and covering new topics – because your strengths are transferable data skills.* You’ll have a proven track record of broad, trusted stakeholder relationships. The work of the team could be to any of the three main customer divisions – Consumer, Insurance or Corporate – or to one of the Central Finance teams. So you’ll need to build networks and relationships with many people.Growth and development – you’ll keep an eye on the future – your own, the Bank’s and the technology landscape. You’ll grow to understand the structure of Lloyds Banking Group and the role of Finance within it. You’ll look for new opportunities to use data and data tools to their best advantage. And you’ll be hungry to learn and develop yourself.* You’ll have experience working on transformation projects or bringing new technology into your team. Our LBG General Ledger is migrating from SAP to Oracle, and the bank has a strategy to move most of our data for insight to a single Cloud platform.Super values and behaviours – and all the time you’ll show great values and behaviours – incorporating the Lloyds Banking Group Values of being Bold, Trust, People First, Inclusive and keeping Sustainability at the forefront of all we do. You’ll work to make LBG better and enrich your direct team and the wider team to be a great place to work.* You’ll have examples of getting involved with wider initiatives. We have great local events, learning opportunities and groups bringing the team together on key focus areas. As a Manager we want you to participate in these, and even lead some, across the team or deeper into your location.About working for usOur ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop.We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.We
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analytics Manager

Data Analytics Manager

Data Analytics Manager

Data Analytics Manager

Process Improvement/Data Analytics Manager

Audit Data Analytics Manager - AI and Automation

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.

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.