Data Manager - Rectification

Lloyds Banking Group

Halifax

Hybrid

GBP 67,000 - 74,000

Full time

10 days ago
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Benefits offered by this job

Generous pension
Annual bonus
Share schemes
Discounted shopping
30 days holiday
Wellbeing initiatives
Parental leave

Job summary

Lloyds Banking Group is seeking a Data Manager - Rectification to lead complex data rectification projects using SQL/SAS. The role involves analyzing data, calculating customer impact, and guiding decisions to deliver refunds where needed.

Hybrid working is available, with at least two days per week in office. You will mentor junior analysts and collaborate with non-technical teams to implement reliable data solutions.

Qualifications

  • Advanced coding using at least one of SQL and SAS.
  • Coaching and mentoring others.
  • Using written and verbal communications skills to present complex data issues to non-technical audiences.
  • Understanding of approaches to ensure high quality and reliable outputs.
  • Working collaboratively with non-technical colleagues to understand customer problems and defining data solutions.

Responsibilities

  • Leading (and undertaking) the data analysis for the rectification, reporting progress, risks and issues at key forums. You may also plan and prioritise work across a small portfolio of rectifications.
  • Using advanced data techniques to identify and calculate the customer impact of rectifications.
  • Providing insightful information and advice to guide business decisions.
  • Driving continuous improvement of processes, tools and techniques and inputting into the future approach of the customer rectification journey.
  • Mentoring more junior analysts to improve their capabilities, you may also manage a small team of junior analysts.

Skills

SQL
SAS
Mentoring
Communication
Data analysis

Tools

BigQuery
Google Cloud
Python

Job description

JOB TITLE: Data Manager - Rectification

SALARY: £67,000 - £74,400

LOCATIONS: Belfast, Birmingham, Bristol, Chester, Edinburgh, Glasgow, Hove, Leeds, Manchester, Halifax or Newport

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 one of our office sites

About this opportunity

Love solving problems and making a real difference? Join a team that uses data to uncover what went wrong, understand the root cause, and deliver better outcomes for our customers.

The team plays a vital role in sourcing, analysing and developing data using SQL/SAS to accurately and efficiently identify customers affected by problems and calculating any refunds required in line with procedures and controls. We’re always learning and sharing our knowledge through each project and look for ways to standardise re-usable activities.

We aim to make processes straight forward and are empowered to challenge thinking and behaviours to enable the business to adapt and evolve, addressing real customer problems when it matters.

While this is a Data Manager role, it's focused on leading complex rectification projects and driving outcomes rather than people management. You'll work across teams to shape solutions, influence decisions and deliver customer impact,

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 accountabilities will include :
  • Leading (and undertaking) the data analysis for the rectification, reporting progress, risks and issues at key forums. You may also plan and prioritise work across a small portfolio of rectifications
  • Using advanced data techniques to identify and calculate the customer impact of rectifications.
  • Providing insightful information and advice to guide business decisions
  • Driving continuous improvement of processes, tools and techniques and inputting into the future approach of the customer rectification journey
  • Mentoring more junior analysts to improve their capabilities, you may also manage a small team of junior analysts.
What you'll need:
  • Advanced coding using at least one of SQL and SAS
  • Coaching and mentoring others
  • Using written and verbal communications skills to present complex data issues to non-technical audiences
  • Understanding of approaches to ensure high quality and reliable outputs
  • Working collaboratively with non-technical colleagues to understand customer problems and defining data solutions

And any experience of these would be really useful:

  • Integrating and analysing data from multiple sources to solve complex business problems
  • Python for data analysis, automation or process improvement
  • Working with BigQuery and data platforms within Google Cloud
  • Using AI-powered tools to accelerate development and improve efficiency
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.

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
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