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

Apply Now

Design Data Analyst (12-Month FTC)

Lloyds Banking Group
Manchester
2 days ago
Create job alert

JOB TITLE: Design Data Analyst (12-Month FTC)

LOCATION(S): Manchester/ Bristol
SALARY: £70,929 - £78,810

HOURS: Full-Time
DURATION: 12-Month Fixed-Term Contract

WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time in the office.

About this opportunity

This is a great opportunity to join the growing Design Analytics & Measurement team. We are looking to recruit for the GCOO Group Technology Innovation (GTI) for a 12 month period.

As a Senior Design Insights Analyst, you will be responsible for feeding deep customer behaviour insights into how we design products & services for Lloyds Banking Group customers. Leveraging Group’s wealth of customer data, you will perform advanced analyses to identify, inform and quantify the impact of changes which we put in front of our customers. You will be a data-champion, advocating for best practices and educating our creative stakeholders on the use of data in the design process.

These roles are central to ensuring that data-driven insights shape our design decisions, guiding us to deliver experiences that are user-centric and aligned to business objectives.

Travel to platform hub locations will be expected as part of the role.

How we work

All Design Insights Analysts are embedded into a cross-functional squad (product, design, user research), where you are given the autonomy to shape your own backlog of work, aligning your analyses to core design initiatives. Building strong relationships with stakeholders across design & product is essential to the role, ensuring you can influence the direction of design changes.

We collaborate closely with user researchers, using quant to validate hypotheses from qualitative research. Our analysts do not just execute, but are challenged to think beyond delivery of analytics, focussing on driving maximum impact.

What we’re looking for?

We’re looking for an experienced data analyst or data scientist able to independently lead analytics within a specific product area.

We would love to hear from you if:

  • You have a proven track record of delivering high quality, actionable customer insights
  • You are an excellent communicator, able to translate technical analysis into easily digestible stories for your stakeholders
  • You can think strategically beyond the numbers and drive impact through your analysis
  • You have strong business acumen, able to grasp new concepts quickly
  • You can build strong relationships with your peers and stakeholders
  • You work autonomously, effectively prioritising your backlog & time
  • You have experience defining good quality metrics
Essential:
  • Excellent SQL proficiency.
  • Experience of Python.
  • A good knowledge of core analytical methods and statistical approaches.
  • Predictive modelling experience
  • A proven understanding of the LBG Data Landscape.
  • Strong analytical skills and knowledge of analytical techniques.
  • A track record of translating data into compelling stories.
  • Strong understanding of financial services.
  • A strong communicator with great influencing skills.
  • The desire to make a difference!
Desirable:
  • Experience of Data Visualisation tools such as Tableau or Power BI.
About working for us

Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture.

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. And it’s why we especially welcome applications from under-represented groups.

We’re disability confident. So if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.

We also offer a wide-ranging benefits package, which includes:

  • A generous pension contribution of up to 15%
  • Discretionary annual performance-related bonus
  • Share schemes including free shares
  • Benefits you can adapt to your lifestyle, such as discounted shopping
  • 30 days’ holiday, with bank holidays on top
  • A range of wellbeing initiatives and generous parental leave policies

Ready for a career where you can have a positive impact as you learn, grow and thrive? Apply today and find out more!


#J-18808-Ljbffr

Related Jobs

View all jobs

Design Data Analyst (12-Month FTC)

Investment Data Analyst – First Technology Hire at a High-Performing Credit Fund - London - Hug[...]

Data Analyst

Data Analyst

Data Analyst – Independent Media Planning Agency

Data Analyst – Independent Media Planning Agency

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.