At a Glance
- Tasks: Bridge the gap between traders and data engineers, managing the full data life cycle.
- Company: Join a leading alternative investment manager in a dynamic London office.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Unique role with high visibility and influence in a successful business.
- Why this job: Make a real impact by translating trading strategies into scalable data solutions.
- Qualifications: 10+ years experience, strong SQL & Python skills, and stakeholder management expertise.
The predicted salary is between 80000 - 100000 £ per year.
We have partnered with a highly successful alternative investment manager on a very exciting hybrid position where you will be given the opportunity to capitalise on both your commercial acumen and stakeholder management skills alongside your technical background & expertise. Sitting in their London office, you will be bridging the gap between the traders and the data engineering team to support the scaling data infrastructure of the firm.
Key responsibilities:
- Operate across the full data life cycle - from requirement gathering through delivery
- Gather and clarify business requests into actionable deliverables, partnering closely with the data engineering team to support implementation and delivery
- Ensure data products are implemented in line with architectural standards and principles
- Utilise market data and alternative datasets across multiple asset classes to translate complex trading strategies into scalable data engineering requirements, ensuring seamless delivery to the front office
Your background:
- 10+ years experience in a similar role
- Deep understanding of schemas, data modelling principles, query optimisation - working understanding of SQL & Python will be important
- Demonstrated experience in stakeholder management with front office - comfortable acting as the bridge between developers/engineers & traders
- Extensive experience working with market data/alternative datasets across multiple asset classes (ideally with vendors like Bloomberg or Refinitiv/LSEG), experience working across structured & unstructured datasets
- Understanding data normalization and de-normalization challenges when integrating multiple vendors and internal systems
- Experience with equities & fixed-income asset classes (buy or sell-side)
This role is not suitable for someone who is strictly technical or engineering-only focused, nor is it relevant for a pure functional/delivery-focused Business Analyst. This is a hybrid role, where you will need to utilise your technical background in order to sit with traders, understand their priorities, and feed this back to our data engineers. This is a very unique opportunity to sit in a high-impact role in a hugely successful business.
StudySmarter Expert Advice🤫
We think this is how you could land Business Data Analyst in London
✨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 Goodman Masson!
✨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 Business Data Analyst in London
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 Goodman Masson, 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 Goodman Masson
✨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 Goodman Masson’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.
