At a Glance
- Tasks: Analyse complex datasets and create automated data solutions for impactful insights.
- Company: Join a leading financial services firm with a commitment to innovation.
- Benefits: Competitive pay, flexible resources, generous leave, and wellness programmes.
- Other info: Embrace a culture of excellence and enjoy great career growth opportunities.
- Why this job: Be part of a dynamic team driving modernisation with cutting-edge analytics and AI.
- Qualifications: Degree in a quantitative field and experience with data analysis tools.
The predicted salary is between 45000 - 55000 € per year.
We’re seeking a future team member for the role of Specialist, Data Analyst & BI to join our Trustee & Depositary (T&D) Engineering organization. This role is located in Manchester and plays a key part in driving our T&D Modernisation agenda.
Position Overview
You will operate as a core POD team member, contributing hands‑on engineering expertise while embracing an agile and AI‑first mindset to deliver high quality, scalable, and secure technology solutions.
Responsibilities
- Analyze and interpret complex internal datasets and relevant market intelligence to support T&D Engineering and modernization objectives.
- Design, build and maintain automated data pipelines, datasets, dashboards and visualizations using modern business intelligence and analytics tools.
- Act as an active team member within an agile POD, collaborating closely with engineers, product owners and business stakeholders to deliver scalable analytics solutions.
- Apply an AI‑first mindset by leveraging advanced analytics, automation and emerging AI capabilities to improve data quality, insight generation and operational efficiency.
- Ensure high data quality and integrity by validating, reconciling and troubleshooting data from multiple internal and external sources.
Qualifications
- Bachelor’s degree in a quantitative, analytical or STEM‑related field, or an equivalent combination of education and experience.
- Experience in data analysis, business intelligence or a closely related analytical role.
- Hands‑on experience with data analysis and BI tools, including the creation of dashboards, reports and automated data workflows.
- Strong analytical and problem‑solving skills, with a solid understanding of data quality, validation and basic data modelling concepts.
- Experience working in, or strong interest in, agile delivery models, with the ability to communicate data insights clearly to both technical and non‑technical audiences.
Benefits and Rewards
BNY offers highly competitive compensation, benefits and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy. We provide access to flexible global resources and tools to support your life’s journey, focusing on health, resilience and financial goals, along with generous paid leave, including paid volunteer time.
BNY is an Equal Employment Opportunity/Affirmative Action Employer – Underrepresented racial and ethnic groups, Females, Individuals with Disabilities and Protected Veterans.
Senior Specialist, Data Analyst & BI in Manchester employer: Limelight Health
At BNY, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Manchester. Our commitment to employee growth is evident through our comprehensive benefits package, which includes competitive compensation, generous paid leave, and access to global resources aimed at supporting your personal and professional journey. Join us to be part of a forward-thinking team that embraces an agile and AI-first mindset, where your contributions directly impact our T&D Modernisation agenda.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Specialist, Data Analyst & BI in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the role. It’s all about making connections!
✨Tip Number 2
Prepare for the interview by brushing up on your data analysis skills. Be ready to discuss specific projects you've worked on, especially those involving BI tools and automated data workflows. Show us how you can bring value to the team!
✨Tip Number 3
Don’t just wait for job openings to pop up! Keep an eye on our website and apply as soon as you see a position that fits. The sooner you get your application in, the better your chances of standing out!
✨Tip Number 4
Show off your passion for AI and agile methodologies during interviews. Share examples of how you've used these concepts in your previous roles. We love candidates who are excited about innovation and collaboration!
We think you need these skills to ace Senior Specialist, Data Analyst & BI in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your data analysis and BI tool experience, and don’t forget to mention any agile methodologies you’ve worked with!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background aligns with our T&D Modernisation agenda. Keep it engaging and personal.
Showcase Your Analytical Skills:In your application, provide examples of how you've tackled complex datasets or built automated data pipelines. We want to see your problem-solving skills in action, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Limelight Health
✨Know Your Data Tools
Make sure you’re well-versed in the data analysis and BI tools mentioned in the job description. Brush up on your skills with dashboards, reports, and automated workflows. Being able to discuss your hands-on experience confidently will show that you’re ready to hit the ground running.
✨Showcase Your Analytical Skills
Prepare examples of how you've tackled complex datasets in the past. Think about specific challenges you faced and how you used your analytical skills to overcome them. This will demonstrate your problem-solving abilities and your understanding of data quality and validation.
✨Embrace the Agile Mindset
Familiarise yourself with agile methodologies if you haven’t already. Be ready to discuss how you’ve collaborated in teams and adapted to changing requirements. Highlighting your experience or interest in agile delivery models will resonate well with the interviewers.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to convey insights to both technical and non-technical audiences, so being able to articulate your thoughts clearly is crucial. Consider doing mock interviews with friends to refine your communication skills.
