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Data Business Analyst

Job in Vancouver, BC, Canada
Listing for: Orbis Investment Management Limited
Full Time position
Listed on 2026-10-22
Job specializations:
  • IT/Tech
    IT Business Analyst, Data Analyst, Business Systems & Technology Analysis
  • Business
    Data Analyst, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 85000 - 120000 CAD Yearly CAD 85000.00 120000.00 YEAR
Job Description & How to Apply Below
Data Business Analyst page is loaded## Data Business Analyst locations:
London Dorset Square:
Vancouver time type:
Full time posted on:
Posted Yesterday job requisition  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.
* ** 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.
** 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 you
** You are a curious,…
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