Product Intelligence Analyst

Lloyds Banking Group; Greater London; On-site; GBP 70,900 - 107,000; Full time

Benefits offered by this job

Extensive benefits package

Flexible working arrangements

Career development opportunities

Job summary

A major banking group in the UK is seeking a Product Intelligence Analyst to embed data-driven decision-making in their operations. The successful candidate will apply analytical techniques to enhance user engagement and optimize business outcomes. A strong background in Data Science, SQL, and experience with Google Cloud Platform is essential. This role offers a hybrid working pattern and is part of an extensive transformation initiative in financial services.

Qualifications

• Demonstrable years' experience in Data Science or Analytics roles.
• Strong background in SQL and experience in GCP & Big Query.
• Ability to translate complex analytical outputs into clear stories.

Responsibilities

• Embed the practice of 'continuous product discovery' into operations.
• Apply analytical techniques to uncover insights into customer behaviour.
• Help shape a Platform-wide analytical community.

Skills

Data Science or Analytics experience

SQL proficiency

Python or R proficiency

A/B testing experience

Strong communication skills

Business Acumen

Tools

Google Cloud Platform

Big Query

JIRA

Confluence

Job description

Job Overview

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 customer 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!

About us

Join us and, as well as making a difference to customers, you'll enjoy a fulfilling career where you're free to be yourself. Great colleagues, transforming workspaces, hybrid working and a wide variety of career opportunities - you'll find them all here.

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 problem.
• 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?