Data and Reporting Analyst

Job Title: Data and Reporting Analyst

Reporting to: Data & Analytics Manager

Department: Data Science

Place of Work: City Bridge House, 57 Southwark Street, London, SE1 1RU

Hours of Work: Monday to Friday, 0900-1700hrs with an hour for lunch each day

We have a hybrid working model – currently working in the London office a minimum of two days a week, but this may increase with time. This role is therefore reliant upon having fast, reliable Broadband connectivity at home.

About us: JN Bank UK Ltd launched in 2019, made history as the first UK bank with a Caribbean parent, Jamaica National, to receive a UK banking license. This remarkable achievement was celebrated across the Caribbean, UK government, and UK diaspora communities, as the bank took a bold step to bridge the gap left by UK banks withdrawing from correspondent banking in developing nations.

This exciting transformation isn’t just about numbers—it’s about building a bank that truly makes a difference. We’re proud of our digital-first approach, with a branch in Brixton serving our loyal customer base. Now, we’re in full throttle backed by external investment and laser-focused on profitability by 2025. As we grow, we’re driven by the desire to create a bank that’s innovative, resilient, and customer-focused.

This is the perfect time to join JN Bank UK! We're looking for passionate, hands-on, forward-thinking individuals who want to make an impact in the financial world.

Role Overview: The BI Reporting Analyst will be responsible for developing, maintaining, and optimising key data reports and dashboards to support business intelligence across JN Bank UK. This includes working closely with stakeholders across all departments to understand their data needs, provide insightful and actionable analysis, and enable evidence-based decision-making.

Duties & Responsibilities:

1. Develop, maintain, and enhance BI dashboards and reporting tools across various business areas including Credit Risk, Operations, Finance, and Product.
2. Deliver accurate and timely reporting to internal stakeholders and regulatory bodies.
3. Use SQL and BI tools (such as Power BI or Tableau) to extract, transform, and visualise data.
4. Collaborate with stakeholders to gather requirements and translate business needs into robust analytical solutions.
5. Support the automation of recurring reports and drive efficiencies through scalable data solutions.
6. Monitor data quality and integrity, identifying anomalies and ensuring consistent and accurate reporting outputs.
7. Assist in the design and delivery of KPIs and metrics aligned to the Bank’s goals and strategies.
8. Provide ad-hoc analysis and insights to support operational and strategic decision-making.
9. Promote a data-driven culture across the business by delivering training and documentation where needed.
10. Support project teams by providing insights and data analysis for initiatives such as new product launches, operational performance improvements, and customer segmentation.
11. Adhoc responsibilities as dictated by line management.

Experience & Qualifications:

1. Degree educated in a numerical or technical discipline (e.g. Computer Science, Mathematics, Data Science, Economics) or relevant experience in a regulated financial services environment.
2. Proven experience in business intelligence, data analysis, or reporting roles.
3. Strong SQL skills and familiarity with data warehousing concepts.
4. Experience with data visualisation tools (e.g. Power BI, Tableau, Looker).
5. Experience working with large and complex datasets.
6. Strong communication skills with the ability to present complex data in a clear and compelling manner to non-technical audiences.
7. Experience with financial services or consumer lending data would be advantageous.
8. Familiarity with Python or R for data analysis is a plus but not essential.
9. Highly organised, with strong attention to detail and a proactive problem-solving mindset.

Benefits:

1. Group Life Assurance
2. 6% pension contribution by employer, subject to employee contribution
3. Private Medical Insurance
4. Income Protection Scheme
5. Employee Assistance Programme
6. 25 days holiday (excl bank holidays) rising to 27 days over time
7. Work from anywhere around the world for 30 days a year
8. 2 paid volunteering days each year
9. Flexible working (2 days in office each week, averaged over one month)