At a Glance
- Tasks: Drive business and data analysis to enhance client data solutions.
- Company: Join Invesco, a leading global investment firm with a collaborative culture.
- Benefits: Enjoy healthcare, flexible working, generous leave, and wellness perks.
- Other info: Opportunities for career growth and community involvement.
- Why this job: Make an impact in a dynamic environment while working with cutting-edge technology.
- Qualifications: Experience in asset management and strong analytical skills required.
The predicted salary is between 63000 - 77000 £ per year.
As one of the world’s leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world.
We have an outstanding benefits package which includes:
- Company-provided healthcare
- A competitive annual leave allowance
- Flexible working options, including hybrid working arrangements
- Generous pension provisions
- Income protection
- Health and wellness benefits
- Volunteering days
- Enhanced parental leave
- Life insurance
Your Role
The Senior Business and Data Analyst will primarily focus on driving business and data analysis activities supporting the implementation and enhancement of solutions and tooling for Distribution related solutions covering client data capabilities, in close cooperation with operational Distribution Data teams and other stakeholders. The role will help ensure that business needs are translated into well-defined business, functional and data requirements supporting strategic and innovative initiatives such as Client Book of Record and a Global Client Master. The role will take ownership of business and data analysis activities across multiple business areas and stakeholder groups, working closely with both business and technology teams. Success requires a very good understanding of agile methodologies, strong analytical and technical capabilities, and strong client relationship management, with particular emphasis on data requirements, data quality, data flows and scalable data solutions.
What you will be doing:
- Liaise with Business Partners in the different Distribution functions to solicit in-depth requirements that contribute to the design, build and implementation of solutions and enhancements that align with strategic business goals.
- Prepare, review and maintain documented requirements for enhancements to systems and/or business processes, optimizing efficiency and consistency.
- Taking ownership for the project management of smaller initiatives, including the provision of delivery status updates and the management of risks and issues.
- Collaborate with other Distribution related functional areas – i.e. Distribution Data Office, Client Insights, Marketing Analytics – as well as external vendors in the execution of project delivery.
- Partner with colleagues across Technology to collaborate on cross-functional deliverables.
- Assisting the squad in providing consultative assistance to the Engineering Run/Support teams on an ad‑hoc basis.
- Develop and maintain close business relationships to forge strong partnerships.
- Help identify opportunities where technology can be an enabler or productivity tool and relay them to other technology teams for possible follow up actions through projects/BAU.
- The role will include the utilization of AI skills and tools as deemed appropriate to deliver on business requirements and will in some instances involve the build/maintenance of full AI solutions including GenAI Agents.
- Supporting the implementation of data mastering systems.
- Reviewing data usage patterns to identify redundant or duplicated datasets that can be consolidated or retired.
- Supporting the migration from legacy systems to target architecture: mapping sources front to back, producing data flow diagrams and expanding the data catalogue.
- Contributing to data governance, data quality and wider data management activity, working with internal technology partners and third party partners.
What you will bring:
- Proven experience in asset Management ideally as inhouse employee or as service provider.
- Have experience with Transfer Agent operations or Distributor platform operations.
- Have a good understanding of the principles how transactions in funds (subscriptions/redemotions) are processed.
- Ideally have an understanding of how a CSD (like Clearstream or Euroclear) operate mutual fund transactions.
- Ideally having had a deep exposure to data from Transfer Agents and back‑office related systems for position and transaction data management.
- The role will have a particular focus on leveraging our Snowflake data capabilities to elicit insights and build solutions to serve the investment and trading communities.
- Have deep knowledge of data processing capabilities in Snowflake and using Snowflake tool such as Cortex Code for AI.
- Knowledge of Artificial Intelligence (AI) capabilities such as Microsoft Copilot or AWS Bedrock and other agentic capabilities.
- Knowledge of other capabilities such as AWS services, API’s and DevOps, is an advantage or having a willingness to undertake training in these areas.
- Bachelor’s Degree in Management Information Systems or Computer Science is preferred or commensurate relevant work experience.
- Challenging yourself and our business partners to think about the future, asking if things can be done different.
- Excellent verbal & written skills (must be capable of communicating clearly and effectively to senior business users, IT management and internal team members).
- Must demonstrate a proactive, customer‑focused attitude and understand the fundamentals of customer service.
- Exceptional analytical and problem‑solving skills, i.e., root‑cause analysis.
- Structured, disciplined approach to work, with keen attention to detail and quality.
- Ability to analyze requirements and problems and to propose innovative but workable solutions.
Full Time / Part Time: Full time
Worker Type: Employee
Job Exempt: Yes
Workplace Model: Pursuant to Invesco’s Workplace Policy, employees are expected to comply with the firm’s most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in the role's advertised office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other’s growth and development.
We promote a working environment that welcomes everyone and creates inclusive teams, celebrates difference and encourages everyone to be themselves at work. We partner with charitable organisations globally to make an impact in the communities where we live and work. Our people are encouraged to support the charities they feel most passionate about. We are also committed to environmental, social and governance (ESG) investing. We serve our clients in this space as a trusted partner both on specific responsible investment product strategies as well as part of our commitment to deliver a superior investment experience.
Senior Business and Data Analyst in Henley on Thames employer: Invesco EMEA
Invesco is an exceptional employer that fosters a dynamic and inclusive work culture, encouraging employees to contribute to meaningful projects while supporting their professional growth. Located in Oxford, the company offers flexible working arrangements, a commitment to social responsibility, and opportunities to engage with charitable initiatives, making it a rewarding place to build a career in asset management.
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We think you need these skills to ace Senior Business and Data Analyst in Henley on Thames
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
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How to prepare for a job interview at Invesco EMEA
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In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
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✨Portfolio of Projects
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✨Know their business model
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