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- Tasks: Engage with data owners to define and document data product requirements.
- Company: Join Orbis, a forward-thinking company in the heart of London.
- Benefits: Enjoy a supportive culture, growth opportunities, and flexible work arrangements.
- Why this job: Make a real impact by shaping data products that drive business success.
- Qualifications: Experience in data analysis and strong problem-solving skills are essential.
- Other info: Be part of a dynamic team that values collaboration and innovation.
The predicted salary is between 28800 - 48000 £ per year.
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.
Data Business Analyst in London employer: Orbis Investment Management Limited
Contact Detail:
Orbis Investment Management Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Orbis. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by understanding the company culture and values. Orbis loves intellectual curiosity and collaboration, so show them how you embody these traits!
✨Tip Number 3
Practice your data storytelling skills. Be ready to explain how your past experiences align with the role of a Data Business Analyst and how you can contribute to their goals.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed and shows you're genuinely interested in joining the team.
We think you need these skills to ace Data Business Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Business Analyst role. Highlight relevant experience and skills that match the job description, especially around data product requirements and agile delivery.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how your background aligns with Orbis’s core values. Don’t forget to mention your collaborative spirit!
Showcase Your Analytical Skills: In both your CV and cover letter, emphasise your analytical and problem-solving capabilities. Give examples of how you've tackled data quality issues or improved processes in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss any important updates from us!
How to prepare for a job interview at Orbis Investment Management Limited
✨Know Your Data Inside Out
As a Data Business Analyst, it's crucial to have a solid grasp of data concepts and terminology. Brush up on your knowledge of data pipelines, ETL processes, and data product delivery. Be ready to discuss how you've translated business needs into technical requirements in past roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical and problem-solving capabilities during the interview. Think of specific examples where you've tackled data quality issues or improved data integrity. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with Agile Methodologies
Since the role involves agile delivery frameworks, make sure you understand how agile works. Be prepared to discuss your experience with sprint planning, backlog refinement, and collaboration with tech teams. Highlight any relevant projects where you've successfully applied agile principles.
✨Communicate Clearly and Effectively
Excellent documentation and stakeholder communication skills are key for this role. Practice explaining complex data concepts in simple terms. During the interview, focus on how you engage with Data Owners and other stakeholders to capture and document requirements clearly.
