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- Tasks: Analyse complex datasets and create automated data solutions for impactful projects.
- Company: Join a leading financial services firm with a commitment to innovation.
- Benefits: Competitive pay, flexible work options, generous leave, and wellness programmes.
- Other info: Dynamic, agile environment with opportunities for personal and professional growth.
- Why this job: Be part of a transformative team driving modernisation in data analytics.
- Qualifications: Degree in a quantitative field and experience with data analysis tools.
The predicted salary is between 50000 - 65000 ÂŁ per year.
The Specialist, Data Analyst & BI will be a core member of the Trustee & Depositary (T&D) Engineering organization located in Manchester. The role focuses on supporting the T&D Modernisation agenda and driving design, development, and delivery of a greenfield Corporate Actions Processing Engine that delivers enterprise-scale, secure technology solutions.
Responsibilities
- Analyze and interpret complex internal datasets and relevant market intelligence to support T&D Engineering and modernisation 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 & Rewards
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and a pay‑for‑performance philosophy. Flexible global resources, generous paid leave—including paid volunteer time—support your health, resilience, and financial goals. BNY is an Equal Employment Opportunity/Affirmative Action Employer – Under‑represented racial and ethnic groups / Females / Individuals with Disabilities / Protected Veterans.
Senior Specialist, Data Analyst & BI in Manchester employer: BNY
Contact Detail:
BNY Recruiting Team
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 folks in the industry, especially those already working at BNY. A friendly chat can open doors and give you insider info on the role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or examples of your work with data analysis and BI tools. Having tangible proof of your abilities can really set you apart during interviews.
✨Tip Number 3
Get comfy with agile! Brush up on agile methodologies and be ready to discuss how you've worked in similar environments. It’s all about showing you can thrive in a team-focused setting.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance to showcase your enthusiasm for the role and the company.
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 speaks directly to the role of Senior Specialist, Data Analyst & BI. Highlight your experience with data analysis and BI tools, and don’t forget to mention any agile delivery experience you have!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the T&D Modernisation agenda and how your skills can help us deliver that greenfield Corporate Actions Processing Engine.
Showcase Your Analytical Skills: In your application, be sure to include specific examples of how you've tackled complex datasets or improved data quality in previous roles. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at BNY
✨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.
✨Understand Agile Methodologies
Since the role involves working in an agile POD, it’s crucial to understand agile principles. Familiarise yourself with how agile teams operate and be prepared to discuss your experiences or thoughts on collaboration within such frameworks. This will demonstrate your adaptability and teamwork skills.
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you’ve analysed complex datasets in the past. Think about challenges you faced, how you validated data quality, and the insights you generated. This will highlight your problem-solving abilities and analytical mindset, which are key for this role.
✨Communicate Clearly
You’ll need to convey data insights to both technical and non-technical audiences. Practice explaining complex concepts in simple terms. This will not only help you during the interview but also show that you can bridge the gap between data and business stakeholders effectively.