Lead Data Analyst- Loans and Affordability Platform

Lead Data Analyst- Loans and Affordability Platform

25 Oct
|
Lloyds Banking Group
|
Manchester

25 Oct

Lloyds Banking Group

Manchester

Job description

Description

JOB TITLE : Lead Data Analyst- Loans and Affordability Platform

LOCATION : Chester, Manchester or London

Hours : Full time

WORKING PATTERN : Hybrid, 40% (or two days) in one of our office hubs mentioned above

About this opportunity

This high-profile role sits within Consumer Lending specifically focusing on Loans and Affordability products and is a fantastic opportunity to join a data passionate, customer focused and product driven team.

Within the Consumer Lending division, the Loans business is the leader in the UK for personal loans.

The Loans Platform is core to delivering business and technology strategy through excellent product,





engineering and data capabilities creating experiences our customers love.

We are seeking an experienced Lead Data Analyst to join our Loans Platform team. This role is pivotal in driving data-driven decision making and uncovering actionable insights to enhance business performance.

As a Lead Data Analyst, you will shape the analytics roadmap, lead on data analysis to develop compelling stories. You will mentor the platform team through your expertise to foster a data-driven culture.

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.

Key Accountabilities

Shape the Data Analytics roadmap

Identify customer problems into actionable analytics solutions.

Identify data analytics initiatives that support business outcomes, and build roadmap for iterative delivery.

Data Acquisition and Transformation :







Leverage SQL to extract and manipulate data from various sources, including loans pricing and management systems, customer databases, and external datasets.

Identify and address data quality issues, applying data cleaning and standardisation techniques.

Collaborate with business and technical teams to understand data sources and implement efficient data collection processes.

Data Analysis and Modelling :

Conduct statistical analysis using advanced techniques to assess loan performance, credit risk, and customer behaviour.

Develop and maintain predictive models to support key business objectives, such as customer churn prediction, and loan pricing.

Translate complex data findings into actionable insights for various wider team members, including business leaders, engineers,





and product owners.

Data Visualization and Communication :

Create compelling data visualizations using tools like Tableau or Power BI to effectively communicate insights to non-technical audiences.

Develop dashboards and reports to monitor key performance indicators and track progress towards strategic goals.

Present and explain data findings clearly and concisely, tailoring communication to different audiences and their needs.

What you'll need

Proven ability as a Data Analyst or similar role.

Strong proficiency in SQL and advanced Excel skills.

Experience with data visualization tools like Tableau or Power BI.

Solid grasp of data management concepts and standard methodologies.

Superb communication and presentation skills,





with the ability to explain complex data in a clear and concise manner.

Collaborative and team-oriented work style, with the ability to build strong relationships across different teams.

Desirable

Knowledge of the UK banking industry and loan products is a plus.

Exposure to Big data and cloud platforms like GCP is preferable.

Prior team management or roadmap development experience is a plus.

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%

An annual bonus award, subject to Group performance

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

Want to do amazing work,





that’s interesting and makes a difference to millions of people? Join our journey!

At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities.

With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.

We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks.

We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.







We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve.

Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

▶️ Lead Data Analyst- Loans and Affordability Platform
🖊️ Lloyds Banking Group
📍 Manchester

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