At a Glance
- Tasks: Extract and analyse complex financial data to drive customer improvements.
- Company: Join AIB, a leading bank in Europe with a collaborative culture.
- Benefits: Enjoy hybrid working, competitive pay, and family leave options.
- Why this job: Shape the future of banking through data-driven innovation and insights.
- Qualifications: 3+ years in data extraction, strong analytical skills, and proficiency in SQL and Python.
- Other info: Great career growth opportunities in a dynamic environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
AIB UK is a subsidiary of AIB Group, Ireland's largest bank, and a leading bank in Europe. The UK business focuses on fullâservice retail & business banking in Northern Ireland and Corporate Banking in GB.
This is a great opportunity to join a growing Technology & Data Team for the UK business that sits under the UK Chief Operating Officer. We're looking for a curious and detailâoriented Data Analyst to join our Technology & Data Team. You'll play a key role in extracting complex financial data, supporting a team in delivering insights that ensures regulatory compliance and strategic decisionâmaking across AIB and ensuring we deliver positive customer outcomes.
Key Accountabilities
- Utilise advanced data transformation skills to deliver data sets to meet business requirements of identifying trends, insights and opportunities to drive customer improvements.
- Manage and prioritise various regulatory data initiatives.
- Using data extraction tools from the AIB Data Warehouse, analyse and report data to meet business requirements.
- Monitor and report on key customer and regulatory metrics, ensuring data integrity and alignment with FCA and PRA regulation.
- Support the translation of data into actionable insights and communicate key findings to senior management and committees.
- Collaborate with UK Customer Experience teams to ensure data accuracy and integrity. This will include validating data sources, cleansing datasets, and applying robust quality checks before analysis.
What You Will Bring
- Minimum 3 years proven technical experience in data extraction and reporting, within financial services sector, preferably banking.
- Excellent analytical and problemâsolving skills with a high attention to detail.
- Exceptional communication and interpersonal skills, with the ability to communicate complex data sets clearly to both technical and nonâtechnical audiences.
- Strong proficiency with data tools such as SQL, Python, Excel, Power BI, Qlikview, and with agile tools like Jira; JQLs.
- Good stakeholder management skills, with ability to collaborate with crossâfunctional teams to support data-driven decisions.
- Ability to multitask and work well under pressure and meet tight timescales whilst ensuring quality and accuracy of output.
Why Work for AIB
We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements.
Some of our benefits include:
- Variable Pay
- Employee Assistance Programme
- Family leave options
Key Capabilities
- Customer Focus â Building strong relationships with internal stakeholders, delivering customer focussed insights to support the delivery of good customer outcomes.
- Collaborates â Works closely with cross functional teams on a daily basis to deliver and support data-driven decisions.
- Eliminates Complexity â Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement.
- Data Analysis â Extracts, and supports the analysis and interpretation of data to reach conclusions and/or present insights and findings.
- Data Visualisation â Demonstrates ability to use the features of technology applications and tools to create and build visually impactful endâuser outputs.
- Presentation â Communicates with clarity and precision, presenting complex information in a concise format that is audience appropriate.
If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Noelle Ryan, at careers@aib.ie for a conversation.
AIB is an equal opportunities employer, and we pride ourselves on being the first bank in Ireland to receive the Investors in Diversity Gold Standard accreditation from the Irish Centre for Diversity. We are committed to providing reasonable accommodations for applicants and employees. Should you have a reasonable accommodation request please email the Talent Acquisition team at careers@aib.ie.
Application deadline: Thursday 20th November 2025 (just before midnight).
Seniority level: Associate.
Employment type: Fullâtime.
Job function: Information Technology and Analyst.
Industries: Banking.
Senior Data Analyst- Data Extraction in Belfast employer: AIB (NI)
Contact Detail:
AIB (NI) Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Analyst- Data Extraction in Belfast
â¨Tip Number 1
Network like a pro! Reach out to current employees at AIB or in the banking sector on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like the Senior Data Analyst position.
â¨Tip Number 2
Prepare for the interview by brushing up on your data extraction skills. Be ready to discuss specific tools like SQL and Python, and how you've used them to solve real-world problems. We want to see your analytical prowess in action!
â¨Tip Number 3
Showcase your communication skills! Practice explaining complex data insights in simple terms. Remember, youâll need to convey your findings to both technical and non-technical audiences, so clarity is key.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows youâre genuinely interested in joining the AIB team.
We think you need these skills to ace Senior Data Analyst- Data Extraction in Belfast
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with data extraction and reporting, especially in the financial services sector. We want to see how your skills align with what we're looking for!
Showcase Your Skills: Donât just list your technical skills; demonstrate them! Use specific examples of how you've used SQL, Python, or Power BI in past roles. This helps us see your analytical prowess in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data-driven innovation in banking and how you can contribute to our team. Keep it concise but impactful â we love a good story!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, itâs super easy â just a few clicks and youâre done!
How to prepare for a job interview at AIB (NI)
â¨Know Your Data Tools
Make sure you brush up on your skills with SQL, Python, Excel, and Power BI. Be ready to discuss how you've used these tools in past roles, especially in data extraction and reporting. Having specific examples will show that you're not just familiar with the tools, but that you can leverage them effectively.
â¨Understand the Business Context
Familiarise yourself with AIB's business model and the financial services sector. Understand how data impacts customer outcomes and regulatory compliance. This knowledge will help you frame your answers in a way that aligns with the company's goals and demonstrates your interest in their mission.
â¨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or analyse data sets. Practice articulating your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your responses, showcasing your analytical skills and attention to detail.
â¨Showcase Your Communication Skills
Since you'll need to communicate complex data insights to both technical and non-technical audiences, practice explaining your past projects in simple terms. Highlight your ability to collaborate with cross-functional teams and how youâve successfully conveyed data-driven decisions in previous roles.