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- Tasks: Support the Customer Risk & Assurance team with insightful reporting and data analysis.
- Company: Join Leeds Building Society, a purpose-driven organisation helping people achieve home ownership since 1875.
- Benefits: Enjoy hybrid working, an annual bonus, 26 days holiday, and various employee perks.
- Why this job: Be part of a culture focused on making a difference and driving continuous improvement.
- Qualifications: Strong Excel skills and experience in MI or data analysis within financial services are essential.
- Other info: We value diversity and are committed to equal opportunities for all applicants.
The predicted salary is between 36000 - 60000 £ per year.
How You\’ll Help Us Live Our Purpose
We\’ve been helping our members save for their future and buy a home of their own since 1875. By joining us, you\’ll play a big role in helping us to put home ownership within reach of more people, generation after generation.
How You\’ll Help Us Live Our Purpose
We\’ve been helping our members save for their future and buy a home of their own since 1875. By joining us, you\’ll play a big role in helping us to put home ownership within reach of more people, generation after generation.
It\’s a purpose that drives everything we do and one we\’re proud of. And you can play your part too, if you have strong Excel skills and experience in data analysis, MI or reporting within a financial services environment, you may be interested in joining our newly created Customer Risk & Assurance team as an M.I and Reporting Analyst.
How You\’ll Make a Difference
As an M.I and Reporting Analyst you will support the Customer Risk & Assurance function by providing insightful, accurate and timely reporting and analysis to support business decision making in the Customer Division. You\’ll play a key role in tracking QA results, risk trends, compliance breaches and performance against regulatory and internal standards, helping the Society drive continuous improvement and mitigate risks.
What will you bring to the role?
- Proven experience in MI, data analysis or reporting in a financial services environment
- Advanced proficiency in Microsoft Office, especially Excel (including pivot tables, advanced formulas, lookups)
- Proficiency in data visualisation tools (e.g. Power BI)
- Ability to translate data into business insights, through the creation of automated and personalised reports to suit stakeholder and business needs
- Understanding of quality assurance frameworks and regulatory requirements
- Excellent communication skills, able to explain technical details and reports to non-technical stakeholders
- High attention to detail and data accuracy
- Experience of analysing data to identify trends and root causes, effectively communicating these to stakeholders to provide solutions to business needs
- Self-motivated and works well independently
And in return, you\’ll get the best from us:
- An annual colleague bonus of up to 12%
- Hybrid working with 60% of your time at home
- Matched pension contributions of up to 10%
- 26 days holiday, plus bank holidays and holiday purchase scheme of up to 5 days each year
- Colleague Mortgage and Saver products
- Electric vehicle scheme/ Cycle to Work scheme
- 2 days\’ volunteering per year
We\’ll give you a place to belong with the support to learn, develop and shape a meaningful career.
Why choose Leeds Building Society?
Our business is centred around our people. Our colleagues are at the heart of everything we do and we\’re extremely proud of our Inclusive Employers Gold accreditation in 2023. We\’re committed to equal opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.
You\’ll be joining a truly purpose-focused culture which helped us win the Leading with Purpose award at the 2023 Business Culture Awards. This recognises the progress we\’re making to embed our purpose with our colleagues, and the actions we\’ve taken to put home ownership within reach of more people, generation after generation.
Why wait? Apply now
We\’d love to hear from you. But don\’t wait around – we may close the advert early and we\’d hate for you to miss out.
Leeds Building Society is devoted to creating a culture and workplace that is representative of the communities we serve. If you\’d like to work with us but are unsure if you meet the full criteria for a role, please contact the recruiter as we\’d like to find out more about the skills and experience that you could bring to the Society. We\’re committed to supporting you to be at your best and if you\’d like to discuss any reasonable adjustments, please reach out to us on careers@leedsbuildingsociety.co.uk.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Research, Analyst, and Information Technology
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MI & Reporting Analyst employer: Leeds Building Society
Contact Detail:
Leeds Building Society Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MI & Reporting Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, especially Excel and Power BI. Consider taking a short online course or tutorial to brush up on advanced Excel functions like pivot tables and lookups, as these skills are crucial for the role.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those who work in MI and reporting. Attend industry events or join relevant online forums to connect with potential colleagues and learn more about the company culture at Leeds Building Society.
✨Tip Number 3
Prepare to discuss your experience with data analysis and how you've used it to drive business insights in previous roles. Think of specific examples where your analysis led to improved decision-making or risk mitigation, as this will demonstrate your value to the team.
✨Tip Number 4
Research Leeds Building Society's mission and values thoroughly. Be ready to articulate how your personal values align with their purpose of making home ownership accessible, as cultural fit is often just as important as technical skills in the hiring process.
We think you need these skills to ace MI & Reporting Analyst
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your experience in MI, data analysis, or reporting within a financial services environment. Use specific examples that demonstrate your proficiency in these areas.
Showcase Excel Skills: Since advanced Excel skills are crucial for this role, include details about your experience with pivot tables, advanced formulas, and lookups. Consider mentioning any projects where you successfully utilised these skills.
Communicate Clearly: Given the need to explain technical details to non-technical stakeholders, ensure your application reflects your excellent communication skills. Use clear and concise language throughout your CV and cover letter.
Tailor Your Application: Customise your CV and cover letter to align with the job description. Highlight how your skills and experiences can contribute to the Customer Risk & Assurance team and the overall mission of the company.
How to prepare for a job interview at Leeds Building Society
✨Showcase Your Excel Skills
Since the role requires advanced proficiency in Excel, be prepared to discuss your experience with pivot tables, advanced formulas, and lookups. You might even want to bring examples of reports you've created or analyses you've conducted using these skills.
✨Understand the Business Context
Familiarise yourself with the financial services sector and the specific challenges it faces. This will help you articulate how your data analysis can support business decision-making and contribute to the Society's mission of promoting home ownership.
✨Prepare for Technical Questions
Expect questions that assess your understanding of quality assurance frameworks and regulatory requirements. Brush up on relevant regulations and be ready to explain how they impact data reporting and analysis.
✨Communicate Clearly
As you'll need to explain technical details to non-technical stakeholders, practice simplifying complex concepts. Use clear examples from your past experiences to demonstrate your ability to translate data into actionable insights.
