Data Business Analyst

Otsuka; Greater London; On-site; GBP 45,000 - 60,000; Full time

Job summary

A leading global company in London is seeking a data-driven Business Analyst to join the newly formed core Data team. This role requires collaboration with Data Owners to shape data products, ensuring they meet business needs and maintain data quality. The ideal candidate will have strong analytical skills and experience with data pipelines and ETL processes. This role offers opportunities for growth in an agile environment.

Benefits

Growth opportunities

Agile work environment

Philanthropy opportunities

Qualifications

• Proven ability to translate business needs into data product requirements.
• Experience with data pipelines, ETL processes, and product delivery.
• Excellent documentation skills and communication with stakeholders.

Responsibilities

• Engage Data Owners to capture and document data product requirements.
• Collaborate with engineers to align product pipelines with business logic.
• Ensure data products comply with governance policies and best practices.

Skills

Analytical skills

Problem-solving capabilities

Stakeholder communication

Data quality awareness

Agile delivery familiarity

Job description

We are seeking a data‑driven full time Business Analyst to join Orbis's newly formed core Data (Hub) team in our London (Marylebone) office. This role spans the Investment, Operations, and Client pillars, sitting at the intersection of business understanding, data engineering, and data product management. You'll collaborate closely with Data Owners to shape the data products that support Orbis's core capabilities, ensuring they meet real business needs and maintain high standards of quality and consistency. You'll also contribute to identifying and evaluating additional data platform capabilities and help build the business case for their procurement. With data at the heart of our organisation, this role offers broad stakeholder and technology exposure.

Why Orbis?

• Culture. We are committed to our Core Values. We encourage intellectual curiosity and individualism as well as collaboration across different areas of the business. We seek to hear our people's voices – whether quiet or loud. Sharing ideas and challenging the status quo are commonplace.
• Autonomy. While guidance and support are provided, team members own their work and projects.
• Growth opportunities. We support our people in continuous learning and development.
• Agile environment. We are committed to providing a work environment that balances the needs of our clients; the needs of our teams; and the personal needs, commitments, and interests of our people.
• Philanthropy. Our people can contribute to society in a unique and personal way, through various philanthropy opportunities and programmes.

What will your responsibilities be?

Discovery & Definition

• Engage Data Owners to capture and document clear data product requirements.
• Define data contracts, semantic models, and data dictionaries to ensure consistency and reusability.

Technical Delivery Support

• Collaborate with engineers to align data product pipelines and transformations with business logic.
• Support testing, validation, and agile delivery activities (sprint planning, backlog refinement, reviews).

Platform Enablement

• Support the selection, evaluation and delivery of new data capabilities (e.g. Data Quality, Catalogue, Metadata, MDM, Observability tools).
• Collaborate with tech teams and vendors to ensure alignment with data architecture and governance standards.

Governance & Continuous Improvement

• Ensure data products comply with governance policies and best practices.
• Identify opportunities to improve data quality, traceability, and delivery.
• Promote and embed a data product mindset across teams.

About you

• Proven ability to translate business needs into technical and functional data product requirements.
• Experience with data (i.e. pipelines, ETL processes, and data product delivery).
• Strong analytical and problem‑solving capabilities with an eye for data quality and integrity.
• Familiarity with agile delivery frameworks and product‑oriented ways of working.
• Excellent documentation and stakeholder communication skills.

Optional experience which is beneficial

• Experience in data analysis, delivery, analytics and/or innovation within Financial Services.
• Understanding of API‑driven data exchange and integration design.
• Understanding of data capabilities (e.g. data governance, data cataloguing, or data quality tooling).
• Prior experience contributing to platform capability identification, evaluation or vendor selection processes.

Instructions for application

To complete your application, please submit your CV/resume and cover letter.