Job Description
JOB TITLE: Senior Data & Analytics Strategy Analyst
LOCATION: Chester or Manchester
SALARY: £42,120 - £56,160
HOURS: Full time
WORKING PATTERN: Hybrid, 40% (or two days) in one of our office hubs mentioned above
About this opportunity
Lloyds Banking Group is on an ambitious path to transform how we Make Britain Prosper. We are still early in our journey to the cloud and are looking for driven individuals to help us to drive the change.
An exciting opportunity has arisen for a Senior Data & Analytics Strategy Analyst to join a brand-new team redefining how we create our Credit Card product and pricing strategy. This team has the opportunity to enable transformative growth in Customer Relationships for one of the biggest Credit Card portfolios in the UK.
In this role you will contribute to the delivery of lightweight Python packages for business users as we seek our strategy to be limited by ideas not tools. This will require a hands-on individual that can deliver tested and version-controlled packages, focused on business delivery, whilst meeting governance expectations.
Day-to-day, you will:
• Collaborate with your team to deliver innovative tools that replace Excel models with Python tools to enable increased segmentation and speed-of-delivery
• Contribute to define ways of working in your team - balancing delivery with high-quality code, focused on driving through high-value change
• Uplift skills by providing support for the tools you build whilst supporting a training agenda for the wider Credit Card team
• Take customer requirements and translate them into technical solutions
• Showcase the value of your data products to both technical and non-technical audiences
• Build a network of Data practitioners across Consumer Lending to influence the tools and platforms that Python developers use across the Group
What you'll need:
Please keep in mind you do not need to be an expert in all the following areas - if you don't meet all the criteria, you are still encouraged to apply! A strong will and can-do attitude can help overcome any areas where you might need some further work.
• At least 2-3 years of experience creating package-quality Python tools using key libraries (Conda, Pandas, NumPy, Sklearn)
• Specialised in using GitHub within a development team
• Experience within a cloud-based environment (ideally Google Cloud Platform)
Desirable:
• Prior experience developing tools within Financial Services
• Experience with Data Science techniques (e.g. statistical modelling, unsupervised or supervised Machine Learning)
• A commercial understanding of interpreting product financials and Profit & Loss data
• A broad understanding of the regulations and legal framework impacting the credit card industry
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 everyone 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.
• 28 days' holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies
If you're excited by the thought of becoming part of our team, get in touch. We'd love to hear from you!
LOCATION: Chester or Manchester
SALARY: £42,120 - £56,160
HOURS: Full time
WORKING PATTERN: Hybrid, 40% (or two days) in one of our office hubs mentioned above
About this opportunity
Lloyds Banking Group is on an ambitious path to transform how we Make Britain Prosper. We are still early in our journey to the cloud and are looking for driven individuals to help us to drive the change.
An exciting opportunity has arisen for a Senior Data & Analytics Strategy Analyst to join a brand-new team redefining how we create our Credit Card product and pricing strategy. This team has the opportunity to enable transformative growth in Customer Relationships for one of the biggest Credit Card portfolios in the UK.
In this role you will contribute to the delivery of lightweight Python packages for business users as we seek our strategy to be limited by ideas not tools. This will require a hands-on individual that can deliver tested and version-controlled packages, focused on business delivery, whilst meeting governance expectations.
Day-to-day, you will:
• Collaborate with your team to deliver innovative tools that replace Excel models with Python tools to enable increased segmentation and speed-of-delivery
• Contribute to define ways of working in your team - balancing delivery with high-quality code, focused on driving through high-value change
• Uplift skills by providing support for the tools you build whilst supporting a training agenda for the wider Credit Card team
• Take customer requirements and translate them into technical solutions
• Showcase the value of your data products to both technical and non-technical audiences
• Build a network of Data practitioners across Consumer Lending to influence the tools and platforms that Python developers use across the Group
What you'll need:
Please keep in mind you do not need to be an expert in all the following areas - if you don't meet all the criteria, you are still encouraged to apply! A strong will and can-do attitude can help overcome any areas where you might need some further work.
• At least 2-3 years of experience creating package-quality Python tools using key libraries (Conda, Pandas, NumPy, Sklearn)
• Specialised in using GitHub within a development team
• Experience within a cloud-based environment (ideally Google Cloud Platform)
Desirable:
• Prior experience developing tools within Financial Services
• Experience with Data Science techniques (e.g. statistical modelling, unsupervised or supervised Machine Learning)
• A commercial understanding of interpreting product financials and Profit & Loss data
• A broad understanding of the regulations and legal framework impacting the credit card industry
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 everyone 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.
• 28 days' holiday, with bank holidays on top
• A range of wellbeing initiatives and generous parental leave policies
If you're excited by the thought of becoming part of our team, get in touch. We'd love to hear from you!
💡 Quick Summary
Seeking a career-building opportunity? The Senior Data & Analytics Strategy Analyst position is now open for candidates interested in the Bank Jobs sector. This role in Manchester offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
