Data Analyst, Analytics

Location:  London (Hybrid) 

In this position, you’ll be based in the London office for a minimum of three days a week, with the flexibility to work from home for some of your working week. Find out more about our flexible work culture at computershare.com/flex
 
We give you a world of potential
 

We are seeking a highly motivated, detail-oriented Data Analyst to join our global team, reporting to the team lead. The successful candidate will be responsible for processing, analysing, and mapping data.

We combine advanced research methodology with strong data management and process improvement expertise to deliver accuracy, control, and continuous improvement at scale. If you are currently working in shareholder data analysis or a similar field and have demonstrable experience in data processing, data mapping, working with macros, and driving process improvements in a collaborative global environment, we would love to hear from you!
A role you will love 
The Data Analyst works within a team of research and data process specialists, reporting to the team lead. The role involves supporting the team by processing, mapping, and analysing data.
 

Key responsibilities:

• Support the team and wider business in processing, validating, and maintaining data accuracy across multiple data sources, primarily using Excel and internal tools.
• Perform data mapping and data matching activities, ensuring consistency and alignment between different systems and datasets.
• Conduct desk research to gather, validate, and enrich data, supporting business analysis and decision-making.
• Work with internal macros and Excel-based tools to automate data processing tasks and improve efficiency.
• Manage and consolidate data from multiple sources, ensuring data integrity, completeness, and reliability.
• Identify opportunities to improve data processes and propose practical solutions to enhance data quality and workflow efficiency.
• Assist in ad-hoc analysis, data validation, mapping and reporting requests from different areas of the business.
   

What will you bring to the role?

Bring your analytical mindset, strong data handling experience, and ability to operate effectively in a global environment. In this role, you will contribute to improving data quality and integrity.

Other key skills you will bring to the role:

• Demonstrable experience in data analysis, data processing, data mapping, or a related discipline, preferably within a business or analytics environment.
• Strong attention to detail, with the ability to work independently and proactively handle large volumes of data.
• Excellent research skills, with the capability to gather, validate, and interpret data from multiple sources.
• Experience working effectively within geographically dispersed, global teams and complex organisational structures.
• Team player with strong communication skills, able to collaborate with managers and stakeholders.
• Highly motivated and enthusiastic about working with data. 
• Ideal candidate would already have basic/intermediate experience in; 

  • Analysing Shareholder Registers, DTC/NOBO and disclosure responses received from Global Custodians and Institutions.

  • Understanding different shareholder types and the manager fund structure

• A background or keen interest in financial markets/investor relations is highly desirable but not essential
   

Rewards designed for you 

• Flexible work to help you find the best balance between work and lifestyle. 
   
• Health and wellbeing rewards that can be tailored to support you and your family. 
   
• Invest in our business by setting aside salary to purchase shares in our company, and you’ll receive a company contribution as well.   
   
• Extra rewards ranging from recognition awards, and team get togethers, to helping you invest in your future. 
   
• And more. Ours is a welcoming and close-knit community, with experienced colleagues ready to help you grow. Our careers hub will help you find out more about our rewards and life at Computershare, visit computershare.com/careershub.