Data Business Analyst

Everything we do exists to find alpha, investment value the market has overlooked. We believe technology is a genuine source of that edge and core to how we find and act on conviction. Because of this, we are modernising our core platform, investing seriously in our data, and building AI solutions that help us achieve alpha for our clients.
Data is the thread that connects all of it. Structured, governed and well-understood data is what turns our investment philosophy into decisions, and what makes our platform and AI ambitions possible. We are aligning the platform, data and AI to work as one.
As a Data Business Analyst, you sit at that point. You will work across the Investment, Operations and Client pillars with the data owners who hold the firm’s data, framing the right problems and translating them into clear, well-scoped requirements engineers can build against. You will own discovery and scoping across a portfolio of initiatives — establishing what data quality means in each domain, clarifying where domain boundaries and ownership sit, and shaping the business input into architectural change as the platform evolves. The work is influential by design: the problems you frame shape the direction data takes at Orbis, and how we use it to generate client alpha.
We are home to world-class talent, and we’re looking for more of it to help define what our investment edge looks like next.
Why Orbis?
Culture.
We are committed to our Core Values. We encourage intellectual curiosity, individualism, and 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.
Impact.
Your work directly supports Orbis’ investment process and decision-making.
Autonomy and accountability.
While guidance and support are provided, team members are responsible for their own work.
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 and other stakeholders to understand their business and data needs, pain points and opportunities, and capture clear, well-structured requirements.
Translate business needs into data contracts, user stories, acceptance criteria and scope definitions that architects and engineers can size and deliver against.
Scoping & Delivery Support
Define and shape the scope of projects, sequencing work and articulating trade-offs to support planning and prioritisation.
Support testing, validation and user acceptance to confirm delivered data and tools meet the agreed need.
Platform Enablement & Adoption
Support the selection, evaluation and delivery of new data capabilities (e.G. Data Quality, Catalogue, Metadata, MDM, Observability tools).
Drive adoption of new tools through clear documentation, training and feedback loops, ensuring capabilities are embedded in day-to-day use.
Collaborate with tech teams and vendors to ensure alignment with data architecture and governance standards.
Continuous Improvement
Identify opportunities to improve data quality, traceability, and delivery.
Promote and embed a data product mindset across teams.
About youYou are a curious, driven business analyst who enjoys complex data problems and is at your best when the requirements aren’t yet clear. You are a self-starter, able to take ownership of the BA workstream across the full project lifecycle — from discovery through to release — with minimal oversight. Orbis operates in an agile manner, and you will be comfortable in a fast-paced environment with multiple priorities.
Skills & Experience:
5+ years’ experience as a Business Analyst delivering data or technology projects, ideally within investment management or capital markets.
Proven ability to translate business needs into clear, well-scoped functional and technical data requirements.
Working knowledge of data (pipelines, ETL processes, data modelling and data product delivery), with an eye for data quality and integrity.
Technically literate — comfortable discussing data, APIs and integration design with architects and engineers, without needing to be hands‑on in code.
Strong stakeholder management skills, with the ability to engage and influence both senior investment professionals and technical teams.
Experience setting project scope, articulating trade-offs, writing user stories with acceptance criteria, and supporting agile delivery (backlog refinement, sprint planning, reviews).
Comfortable working with ambiguity, turning high‑level business problems into clear, actionable data requirements and delivery plans.
Excellent documentation, communication and problem‑solving skills.
Exposure to data governance, cataloguing or data quality tooling — and to platform capability evaluation or vendor selection — is an advantage.
The CompanyWe are a global firm with offices across eight countries, over 400 employees and more than $60 billion in assets under management. But those numbers don’t define Orbis. It’s our values, the way we do things day by day, and the value we add for our clients that define us. Our investment philosophy is fundamental, long‑term and contrarian. As contrarian investors, we strive to adopt a different perspective, which informs every aspect of our approach. To invest differently, you need to think differently. This is encouraged by having teams of people with different backgrounds, experiences and ways of thinking.
Find out more about us at
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