At a Glance
- Tasks: Bridge the gap between business and tech teams on a major data platform migration.
- Company: Join a leading global asset manager with over R3 trillion in assets.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate across multiple domains and gain exposure to cutting-edge data technologies.
- Why this job: Be at the forefront of a transformative data strategy in a dynamic environment.
- Qualifications: 5+ years in business analysis, especially in financial services, and Azure DevOps experience.
The predicted salary is between 63000 - 77000 £ per year.
We are hiring a Business Analyst to join an Intellias delivery team on a large-scale enterprise data platform migration programme for a financial services client.
You will bridge the client's domain owners and stewards on one side and the delivery engineers on the other, and you will own the backlog in Azure Dev Ops.
Project overview
- Our client is an independent, active global asset manager with over R3 trillion in assets under management.
They are executing a firm-wide data strategy to govern, manage and engineer data as a product across more than 70 business-owned sub-domains.
- As part of this, they are migrating to Databricks as the foundational layer of their Enterprise Data Platform, adopting a lakehouse architecture built on open formats, declarative pipelines and Unity Catalog.
Requirements
- Financial services background, ideally asset management, banking or capital markets.
- 5+ years of business analysis on data or platform programmes.
- Strong experience of Azure Dev Ops for backlog management, sprint planning and reporting.
- Comfort with data engineering vocabulary: schemas, contracts, lineage, DQ, medallion architecture, Unity Catalog.
- Track record of writing engineer-ready requirements rather than high-level statements.
- Experience working across multiple domain teams and stakeholders on a single programme.
- Fluent working English.
- Nice to have
- Familiarity with investment management data (positions, transactions, portfolio, performance, security master, reference data).
- Prior experience in a federated data mesh or data domain operating model.
- Databricks working knowledge sufficient to walk a steward through Unity Catalog artefacts.
Responsibilities
- Elicit requirements from domain owners and stewards and turn them into engineer-ready specifications with source-to-target mappings, semantic definitions and DQ expectations.
- Define data contracts and agree acceptance criteria for each migrated domain.
- Maintain the programme backlog in Azure Dev Ops against the client's ways of working.
- Track cross-domain dependencies and surface them to the Delivery Manager and Programme Steering.
- Own the domain migration readiness checklist (steward committed, source contracts documented, consumption use cases agreed) before a domain enters build.
- Contribute to documentation living alongside the code.
Why this position
- Sit at the centre of a large-scale enterprise data platform migration, translating a 70+ sub-domain data strategy into clear, actionable requirements for engineering and architecture teams to build against.
You'll work closely with business domain owners and technical teams to shape how data standards and migration priorities get defined and delivered, gaining hands-on exposure to a high-stakes lakehouse transformation and modern, AI-enabled ways of working.
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Senior Business Analyst – Enterprise Data Platform (Financial Services) employer: Intellias
As a Senior Python Engineer at our client's leading global investment management company in London, you will be part of a dynamic and innovative work culture that prioritises cutting-edge technology and data-driven solutions. The firm offers exceptional employee growth opportunities, including hands-on experience with AI agents and large-scale data systems, while fostering a collaborative environment that values creativity and technical excellence. With a commitment to professional development and a focus on impactful projects, this role provides a unique chance to contribute to the future of AI in finance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Business Analyst – Enterprise Data Platform (Financial Services)
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Intellias!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Senior Business Analyst – Enterprise Data Platform (Financial Services)
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Intellias, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Intellias
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Intellias’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
