At a Glance
- Tasks: Drive business insights through data analysis and AI tools in Asset Management.
- Company: Join a leading firm in London with a hybrid working model.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make an impact by bridging business needs and tech solutions in a dynamic role.
- Qualifications: 5+ years in Business Analysis with strong data and stakeholder management skills.
The predicted salary is between 51750 - 63250 £ per year.
Location
London - Hybrid working with 3 days onsite required
Employment Type
Fixed-Term Contract/ Contract Inside IR35
Experience
:5-10 Years
Role Summary
We are seeking an experienced Business Analyst with a strong background in Asset Management and a passion for leveraging Data Analytics, Dashboarding, and AI-powered tools to drive business insights and operational efficiency.
The ideal candidate will possess deep domain expertise in Asset Management, strong analytical and data visualization skills, hands-on experience with modern data platforms such as Snowflake, and the ability to bridge the gap between business stakeholders and technical teams.
The candidate should be comfortable working in AI-enabled environments using tools such as Cortex Code, Microsoft Copilot, Chat GPT, and other Gen AI solutions as part of their daily workflow.
This role requires a blend of Business Analysis, Data Analysis, Reporting, Stakeholder Management, and Technical BA capabilities to support strategic initiatives and data-driven decision-making.
Key Responsibilities
- Collaborate with business stakeholders to gather, analyze, and document requirements.
- Translate business needs into functional specifications, user stories, and process flows.
- Perform data analysis to identify trends, insights, and business opportunities.
- Develop and maintain dashboards, reports, and KPI metrics for business reporting.
- Work closely with data, engineering, and technology teams to support reporting and analytics initiatives.
- Conduct data validation, reconciliation, and support UAT activities.
- Facilitate stakeholder discussions, workshops, and requirement review sessions.
Leverage AI tools such as Microsoft Copilot, Cortex Code, Chat GPT, and similar platforms to improve analysis, documentation, reporting, and productivity.
- Support Agile delivery teams and contribute to sprint planning, backlog refinement, and solution discussions.
- Act as a bridge between business users and technical teams to ensure successful delivery of solutions.
- Required Skills & Experience
5+ years of experience as a Business Analyst within the Asset Management or Investment Management domain.
- Strong understanding of Asset Management business processes and data.
- Experience working with data analysis, reporting, and dashboard development.
- Exposure to data platforms, analytics ecosystems, and reporting technologies.
- Experience creating dashboards using Power BI, Tableau, or similar visualization tools.
- Strong requirement gathering, stakeholder management, and documentation skills.
- Exposure to data warehousing, ETL/ELT, and analytical reporting concepts.
- Experience working with Agile/Scrum methodologies.
- Ability to effectively collaborate with both business and technology teams.
Strong communication, presentation, and problem-solving skills.
- Familiarity with Snowflake and modern cloud-based data platforms.
- Exposure to AI-enabled tools and workflows.
- Knowledge of Python, Power BI, Tableau, or other analytics and reporting tools.
Experience working on data modernization, reporting, or analytics transformation initiatives.
Nice to Have
Professional certifications related to Business Analysis, Data Analytics, or Financial Services.
- Interested? Apply with your updated CV for an immediate discussion with Talent team
- #UST
Stakeholder Management, Reporting and Analytics, Asset Management, Agile, Data Visualization, Open AI, Generative AI, Snowflake, Dashboard Development
Business Analyst - Asset Management & Data Analytics (Lead II - Business Analysis) in London employer: UST
As a Salesforce Delivery Lead in London, you will join a dynamic and innovative team within the Financial Services sector, where your expertise will drive impactful technology initiatives. Our hybrid work culture promotes flexibility while fostering collaboration, and we are committed to your professional growth through continuous learning opportunities and mentorship. With a focus on Agile practices and high-performance teams, we offer a rewarding environment that values your contributions and encourages meaningful engagement with stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst - Asset Management & Data Analytics (Lead II - Business Analysis) in London
✨Join Business Intelligence Meetups
We can’t stress enough how beneficial it is to attend local Business Intelligence meetups and events. These gatherings often bring together industry professionals and can lead to short-term, temporary roles—perfect if you’re looking to land something quickly. Plus, you’ll get to learn some insider tips and tricks from those already in the game!
✨Leverage Online Freelancing Platforms
Since you’re searching for a temporary gig, check out freelancing platforms like Upwork or Freelancer where businesses often post short-term BI projects. This can be a great way to build your portfolio and gain experience while also showcasing your skills to potential future employers.
✨Show Off Your BI Projects
Whether you’re working on a personal project or a past endeavour, put your work out there! Create a public portfolio that highlights your best Business Intelligence analyses or visualisations. It’ll give you a leg up when you’re approaching companies like UST, showing exactly what you can bring to the table.
✨Tap Into University or College Networks
If you're currently studying or recently graduated, make sure to use your university's career services. Many educational institutions have partnerships with companies looking for temporary talent in Business Intelligence, so keep an eye out for exclusive job postings or internship fairs that could lead to a quick placement.
We think you need these skills to ace Business Analyst - Asset Management & Data Analytics (Lead II - Business Analysis) in London
Some tips for your application 🫡
Show Off Your Data Skills:In business intelligence, it's crucial to highlight your analytical skills and experience with data tools. Make sure your CV showcases any relevant software you’ve used, like SQL, Tableau, or Power BI. Add specific examples of how you've used data to drive insights or improvements in previous roles, even if they were in academic projects or internships.
Keep it Concise and Impactful:For a temporary role like this, hiring managers often have limited time to sift through applications. Get straight to the point in your CV and cover letter. Use bullet points for your achievements, showcasing the impact you've made, like percentage increases in efficiency or specific results from your analyses.
Flexibility is Key:Since this is a temporary position, make sure to emphasise your adaptability. Mention your quick learning abilities and experiences where you adapted to new tools or processes rapidly. This will show that you can jump in and start contributing effectively from day one at UST.
Craft a Tailored Motivation Statement:In your cover letter, focus on why you’re excited about this temporary role at UST. Talk about your interest in business intelligence and how this position aligns with your career goals. Remember, it’s not just about what you can offer, but why you’re passionate about becoming part of their team, even for a short time!
How to prepare for a job interview at UST
✨Brush Up on Your Data Skills
For a business intelligence role, you'll want to showcase your analytical skills and familiarity with data visualisation tools like Tableau or Power BI. Be ready to tackle technical questions or case studies demonstrating your ability to interpret data and make insightful recommendations.
✨Plan Your Portfolio of Projects
Since this is a temporary position, we should highlight any past projects you've worked on in business intelligence. Prepare a portfolio that includes a couple of key pieces where you've effectively utilised data to drive decisions—this will show that you're not just a quick fix but someone who can deliver immediate value.
✨Demonstrate Your Adaptability
Temporary roles often require us to hit the ground running, so be ready to discuss how you quickly adapt to new tools, teams, and environments. Share specific examples from previous experiences where you thrived under pressure or had to learn a new system or process in a short time frame.
✨Have Your Metrics Ready
In business intelligence, quantifying your impact is key. Come prepared to share metrics from your past work: think percentages, growth figures, or efficiency improvements. This will really help us paint a picture of how your contributions directly benefited those previous roles.
