Data Analyst - Mass Affluent

Lloyds Banking Group; Bristol; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

A leading bank is seeking a Data Analyst for their Mass Affluent team in Bristol. This role involves data extraction, analysis, and visualization to support strategic decision-making. Candidates should have strong SQL and analytical skills, with a focus on customer-centric insights. The position offers a hybrid working pattern and a supportive environment for professional growth.

Benefits

Generous pension contribution

Annual performance-related bonus

Share schemes including free shares

30 days holiday plus bank holidays

Wellbeing initiatives

Qualifications

• In-depth knowledge of GDW and IP&I source systems.
• Excellent coding experience in SQL (Teradata and MS-SQL).
• Knowledge of data visualisation tools.

Responsibilities

• Perform data mining and extraction from relevant data sources.
• Identify new data sources to enhance insight capability.
• Build reports and dashboards to convey analytics.

Skills

SQL

Python

Data Science

Analytical Techniques

Communication

Tools

Power BI

Tableau

Google Cloud Platform

Job description

Join to apply for the Data Analyst - Mass Affluent role at Lloyds Banking Group

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JOB TITLE: Data Analyst - Mass Affluent

LOCATION(S): Bristol, Edinburgh or Leeds

HOURS: Full-time

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

ABOUT US

At Lloyds Banking Group we serve more than 26 million customers and 1 million businesses, and as one of five business units designed to deliver our growth strategy within Consumer Relationships, the Mass Affluent business helps drive us to develop longer-term relationships with a key segment of customers - those with over £75,000 in income or investable assets.

More than three million of our customers are part of the Mass Affluent segment, and working closely with our other consumer-facing business units, we aim to innovate our service by creating an integrated banking, investment and financial planning proposition - focused not only on everyday needs, but life goals and future plans.

CORE PURPOSE OF THE ROLE

Launched in 2022 Mass Affluent's Data, Analytics and Insight team is located at the heart of the Mass Affluent Business, to provide expert and expedited data, analytics and insight. Our work helps drive and adds valuable input to the day-to-day management and the strategy of the Mass Affluent business, and inform key decisions. The team's work is both pro-active and re-active in nature, is both contained and equally often with stakeholders, and touches many areas of the Mass Affluent Business and the wider bank.

As a naturally inquisitive data analyst, your role will involve identifying and extracting (primarily internal) data, applying analytical methods and presenting the data in a customer-centric format, often in PowerBI which is an essential tool within the team. Your role will be foundational in building the reporting, analytics, data visualisation and insight that continually shapes and delivers our Mass Affluent strategy.

You will need to demonstrate a can-do attitude and a commitment to problem solving to deliver in in this exciting team, the success of which will also be largely down to our ability to enable and support others to succeed, and as a part of this close-knit multi-site team, communication skills and a positive attitude are essential.

Whilst no two days in this role will be the same, a typical day will involve collaboratively working with colleagues from within and outside of Mass Affluent to:

Perform accurate data mining and extraction from relevant data sources to augment existing and develop new insight solutions, from reports and dashboards to self-serve tools and deep-dives

Identify and accessing new data sources which enhance our insight capability

Actively participate in conversations and thought-partnership to support delivery of valuable, engaging, meaningful and relevant insights

Building PBi and other outputs to help convey analytics efficiently and clearly

Identify risks and opportunities to help draw conclusions and advise thinking

WHAT ARE WE LOOKING FOR?

In-depth knowledge and experience of GDW (essential) and IP&I source systems (preferable)

Excellent coding/scripting experience including SQL (Teradata (essential) and MS-SQL (preferred)), Python etc

Knowledge of data visualisation tools such as Power BI and Tableau

An understanding and interest in Google Cloud Platform (GCP) / cloud technologies, and GenAI opportunities

Confident to work both as part of a close-knit team, and independently

Naturally inquisitive and questioning of approach and assumptions

Knowledge and experience of data science/analytical techniques

Ability to understand and interpret key insight to inform customer strategy, transferring numerical insight into compelling customer centric insight that can drive action and results

Positive relationship building and the ability to work with colleagues across the business

JOB TITLE: Data Analyst - Mass Affluent

LOCATION(S): Bristol, Edinburgh or Leeds

HOURS: Full-time

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

ABOUT US

At Lloyds Banking Group we serve more than 26 million customers and 1 million businesses, and as one of five business units designed to deliver our growth strategy within Consumer Relationships, the Mass Affluent business helps drive us to develop longer-term relationships with a key segment of customers - those with over £75,000 in income or investable assets.

More than three million of our customers are part of the Mass Affluent segment, and working closely with our other consumer-facing business units, we aim to innovate our service by creating an integrated banking, investment and financial planning proposition - focused not only on everyday needs, but life goals and future plans.

CORE PURPOSE OF THE ROLE

Launched in 2022 Mass Affluent's Data, Analytics and Insight team is located at the heart of the Mass Affluent Business, to provide expert and expedited data, analytics and insight. Our work helps drive and adds valuable input to the day-to-day management and the strategy of the Mass Affluent business, and inform key decisions. The team's work is both pro-active and re-active in nature, is both contained and equally often with stakeholders, and touches many areas of the Mass Affluent Business and the wider bank.

As a naturally inquisitive data analyst, your role will involve identifying and extracting (primarily internal) data, applying analytical methods and presenting the data in a customer-centric format, often in PowerBI which is an essential tool within the team. Your role will be foundational in building the reporting, analytics, data visualisation and insight that continually shapes and delivers our Mass Affluent strategy.

You will need to demonstrate a can-do attitude and a commitment to problem solving to deliver in in this exciting team, the success of which will also be largely down to our ability to enable and support others to succeed, and as a part of this close-knit multi-site team, communication skills and a positive attitude are essential.

A TYPICAL DAY IN THIS ROLE…

Whilst no two days in this role will be the same, a typical day will involve collaboratively working with colleagues from within and outside of Mass Affluent to:

• Perform accurate data mining and extraction from relevant data sources to augment existing and develop new insight solutions, from reports and dashboards to self-serve tools and deep-dives

• Identify and accessing new data sources which enhance our insight capability

• Actively participate in conversations and thought-partnership to support delivery of valuable, engaging, meaningful and relevant insights

• Building PBi and other outputs to help convey analytics efficiently and clearly

• Identify risks and opportunities to help draw conclusions and advise thinking

WHAT ARE WE LOOKING FOR?

• In-depth knowledge and experience of GDW (essential) and IP&I source systems (preferable)

• Excellent coding/scripting experience including SQL (Teradata (essential) and MS-SQL (preferred)), Python etc

• Knowledge of data visualisation tools such as Power BI and Tableau

• An understanding and interest in Google Cloud Platform (GCP) / cloud technologies, and GenAI opportunities

• Confident to work both as part of a close-knit team, and independently

• Naturally inquisitive and questioning of approach and assumptions

• Knowledge and experience of data science/analytical techniques

• Ability to understand and interpret key insight to inform customer strategy, transferring numerical insight into compelling customer centric insight that can drive action and results

• Positive relationship building and the ability to work with colleagues across the business

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 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

If all of this resonates, and you want a job with big meaning, then please do get in touch to discuss!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance

• Industries

  Banking

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