Invesco

Business and Data Analyst

In short

Senior Business and Data Analyst role at Invesco, a global independent investment firm, driving business and data analysis for Distribution-related solutions and client data capabilities in a hybrid UK-based position. The role sits between business and technology teams, requiring agile methodology experience, strong analytical skills, and work with Snowflake, AI tools (Copilot, AWS Bedrock, GenAI Agents), and asset management/Transfer Agent domain knowledge. Candidates need proven asset management experience, understanding of fund transaction processing, and at least 3 years of relevant experience.

About Invesco
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. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco.
Responsibilities
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.
•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
•Take 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
•Assist 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
•Utilize AI skills and tools as deemed appropriate to deliver on business requirements, in some instances involving the build/maintenance of full AI solutions including GenAI Agents
•Support the implementation of data mastering systems
•Review data usage patterns to identify redundant or duplicated datasets that can be consolidated or retired
•Support the migration from legacy systems to target architecture: mapping sources front to back, producing data flow diagrams and expanding the data catalogue
•Contribute to data governance, data quality and wider data management activity, working with internal technology partners and third party partners
Requirements
•Proven experience in asset management, ideally as inhouse employee or as service provider
•Experience with Transfer Agent operations or Distributor platform operations
•Good understanding of the principles of how transactions in funds (subscriptions/redemptions) are processed
•Ideally an understanding of how a CSD (like Clearstream or Euroclear) operates mutual fund transactions
•Ideally deep exposure to data from Transfer Agents and back-office related systems for position and transaction data management
•Particular focus on leveraging Snowflake data capabilities to elicit insights and build solutions to serve the investment and trading communities
•Deep knowledge of data processing capabilities in Snowflake and using Snowflake tools 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, APIs and DevOps is an advantage, or 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
•Ability to challenge yourself and business partners to think about the future, asking if things can be done differently
•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: No.
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.
Benefits
•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

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