At a Glance
- Tasks: Analyse data to drive product improvements and enhance customer experiences.
- Company: Join Lloyds Banking Group, a leader in financial services transformation.
- Benefits: Competitive salary, extensive benefits, hybrid working, and career growth opportunities.
- Other info: Inclusive workplace with a commitment to diversity and support for all employees.
- Why this job: Be part of a major transformation and make a real impact on millions of customers.
- Qualifications: Experience in Data Science, SQL, Python or R, and strong analytical skills.
The predicted salary is between 70900 - 107000 £ per year.
Join to apply for the Product Intelligence Analyst role at Lloyds Banking Group. This range is provided by Lloyds Banking Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range: £70,900pa to £107,000pa (dependent on location and experience) plus an extensive benefits package.
LOCATION: Bristol or London
HOURS: 35 hours per week
WORKING PATTERN: Hybrid, 40% (or two days) in one of our office hubs mentioned above
About this opportunity: Do you want to be part of the largest transformation in financial services in a generation? Lloyds Banking Group is investing over £2bn pounds in delivering growth over the next 3 years, including considerable investment in our transformation to a data and technology led organisation. The Personalised Experiences and Communications platform (PEC) sits at the heart of this transformation, working with the second largest customer dataset in the UK, as well as the latest tools available through Google's Cloud Platform, to enable the delivery of real-time personalised experiences for customers across our market leading brands and channels.
We are seeking a Product Intelligence Analyst who can be part of the establishment of a culture of continuous improvement. Someone who is as committed to embedding data-driven decision-making as we are! If this sounds like you, then we'd love to hear from you!
Your key accountabilities will include:
- Helping embed the practice of 'continuous product discovery' into Platform ways of working, integrating actionable insight into every stage of the product development process.
- Applying appropriate analytical techniques to uncover insights into customer behaviour and product performance, enabling data-driven decisions that enhance user engagement and optimise business outcomes.
- Helping embed an innovation mindset across the Platform through the development of consistent experimentation frameworks.
- Developing performance measurement frameworks to effectively evidence progress against strategic goals and drive next best actions.
- Collaborating to uncover opportunities for data improvement to support and craft specific key results.
- Be part of and help shape a Platform wide analytical community to define and embed best practice.
- Establishing strong relationships with a broad range of business and technical partners from across the organisation.
- Creating ongoing evidence to provide constructive challenge to the strategic direction of the Platform and its Products.
- Maintaining continuity whilst navigating the LBG data transition from GDW to GCP.
About you: Demonstrable years' experience in Data Science or Analytics roles. A strong background in SQL with proficiency of the Group Data Warehouse (GDW) and experience in Google Cloud Platform (GCP) & Big Query. Proficiency in Python or R. Experience with A/B testing or experimental design. Experience at applying the right advanced analytics techniques to solve business problems. An ability to translate complex analytical outputs into clear and compelling stories that strategically influence. Strong communication skills and the ability to collaborate effectively with a wide range of stakeholders, both technical and non-technical. An understanding of JIRA and Confluence is a nice to have but not crucial. Strong Business Acumen with a good understanding of all aspects of financial services.
About working for us: Our 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 provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
Want to do amazing work, that's interesting and makes a difference to millions of people?
Product Intelligence Analyst in London employer: LLOYDS BANKING GROUP
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in either Bristol or London, where innovation and data-driven decision-making are at the forefront of our transformation in financial services. With a strong commitment to diversity, equity, and inclusion, we provide extensive benefits, flexible hybrid working arrangements, and numerous opportunities for professional growth, ensuring that every employee can thrive and contribute meaningfully to our mission of delivering personalised experiences to millions of customers.
StudySmarter Expert Advice🤫
We think this is how you could land Product Intelligence Analyst in London
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We think you need these skills to ace Product Intelligence Analyst in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
