Data Analyst

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Waystone leads the way in specialist services for the asset management industry. Partnering with institutional investors, investment funds and asset managers, Waystone builds, supports and protects investment structures and strategies worldwide. With over 20 years’ experience and a comprehensive range of specialist services to its name, Waystone is now serving assets under management in excess of $2Tn. Waystone provides its clients with the guidance and tools to allow them to focus on managing their investment goals with confidence.

Summary: Reporting to the Head of data, the Data Analyst will be an integral part of the Data, Analytics, and AI pillar’s success. The Data Analyst will play a crucial role in managing and analyzing data within the organization and how that can drive value creation across the company. The Data Analyst will work closely with the enterprise to identify and implement data‑driven strategies that drive business growth, operational efficiency, EBITDA enhancement and improve decision‑making across the organization.

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• Assess and optimize data systems using structured analysis and design methodologies to ensure alignment with business goals and technical feasibility.
  
• Act as a bridge between stakeholders and development teams, translating complex business needs into actionable data‑driven solutions and fostering strong cross‑functional relationships.
  
• Own the end‑to‑end requirements lifecycle, from gathering and refining business needs to producing clear specifications and technical documentation that guide development.
  
• Manage the data product backlog, continuously refining and prioritising tasks to ensure the development team is focused on delivering the highest value features and improvements.
  
• Collaborate with internal teams and clients to deliver high‑quality data products, ensuring solutions enhance Waystone’s proprietary data capabilities and competitive edge.
  
• Navigate and model complex data ecosystems, contributing to architectural decisions and technology roadmaps that support long‑term product scalability.
  
• Partner with project managers and stakeholders to develop realistic delivery plans, incorporating risk mitigation, quality assurance, and communication strategies.
  
• Drive adoption and upskilling across teams, leading training initiatives and promoting best practices in data literacy and digital tools.
  
• Champion the integration of advanced Machine Learning techniques to unlock value from data assets, supporting monetisation strategies and scalable product development.
  

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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• Relevant experience within funds industry (preferred) or broader financial services, in highly regulated environments.
  
• Strong experience in data analysis and data product management.
  
• Expertise in data analysis applications and technologies.
  
• Proven ability in satisfying quality assurance, test planning, creation and execution.
  
• Proficient in data analysis, including SQL, with strong problem‑solving capabilities.
  
• Experience in use of JIRA and ability to train others in its use.
  
• Demonstrable professional integrity, dedication to upholding the company’s high‑quality standards and client focus.
  
• Proven adherence to legal and regulatory guidelines, and in‑house policies and business ethics.
  
• Excellent communicator, with the ability to communicate at both senior management and end‑user level.
  
• Highly motivated, self‑driven, proactive and continuously seeking learning opportunities for both self and team.
  

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• Takes immense pride in delivering quality outcomes and satisfactory customer‑experience.
  
• Strong stakeholder management skills, fostering a culture of knowledge sharing, and supporting the design and delivery of learning interventions.
  
• Innovative, strategic thinker and doer, able to match creativity with vigilance, envision and implement new ideas for organisational benefit.
  
• Promote openness and transparency and encourage them within the team and wider organization.
  

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• Internationally recognised third‑level Bachelor’s degree in Computer Science, Information Systems, Engineering, MIS, Accounting or relevant discipline and/or relevant work experience.