At a Glance
- Tasks: Drive high-impact data initiatives and collaborate with tech teams to deliver real business value.
- Company: Join a dynamic team in a leading global data solutions company.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Fast-paced Agile environment with excellent career advancement opportunities.
- Why this job: Be a key player in shaping data-driven solutions that influence strategic decisions.
- Qualifications: Experience as a Business Analyst with strong data analysis skills and stakeholder management.
The predicted salary is between 36000 - 60000 £ per year.
Role description
Business Analyst - Global Data Solutions & Snowflake
London | Hybrid (3 days onsite)
Full-time | Permanent
Are you a data-driven problem solver who thrives in a fast-paced, Agile environment? We\'re looking for an Agile Business Analyst to join our Global Data Solutions team, driving the delivery of high-impact data initiatives that enable smarter, faster decisions across our organisation.
As a Business Analyst, you\'ll work closely with business and technology stakeholders collaborating with developers, testers, and product teams to shape solutions that deliver real business value. You\'ll be hands-on throughout the full software development lifecycle, ensuring clarity, efficiency, and excellence in delivery.
The Role
- Partner with stakeholders across multiple projects to define, refine, and deliver data-driven solutions that align with strategic objectives.
- Translate business needs into clear, actionable requirements and user stories.
- Facilitate workshops, interviews, and analysis sessions to uncover insights and identify improvement opportunities.
- Work with technical teams to ensure data is sourced, structured, and delivered effectively across systems.
- Support testing, validation, and user training to ensure solutions meet expectations and drive measurable value.
What You\\\'ll Bring
- Strong experience as a Business Analyst within data-focused or Agile delivery environments.
- Understanding of wealth management products, services, and regulatory frameworks.
- Proven ability to manage stakeholders and translate business needs into technical requirements.
- Experience analysing large and complex datasets - with proficiency in SQL and tools like Power BI or Tableau.
- Knowledge of ETL processes, data governance, and modern cloud data platforms (e.g., Snowflake, Azure, AWS).
- Familiarity with APIs, data lineage, and data quality frameworks.
- Excellent communication and presentation skills, with the confidence to engage at all levels of the organisation.
Hurry and apply for a more detailed conversation!
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Business Analyst - Global Data Solutions & Snowflake (Lead II - Business Analysis) in City of London employer: UST
As a Principal Data Engineer at our company, you will thrive in a dynamic and innovative work culture that prioritises technical excellence and continuous learning. With opportunities for mentorship and collaboration across diverse teams, you will play a pivotal role in shaping the future of our cloud-scale data platform while enjoying the flexibility of a hybrid work environment in Nottingham or London. We are committed to fostering your professional growth and providing a supportive atmosphere where your contributions directly impact our success.
StudySmarter Expert Advice🤫
We think this is how you could land Business Analyst - Global Data Solutions & Snowflake (Lead II - Business Analysis) in City of London
✨Get Involved in Data Science Meetups
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✨Leverage Professional Networks
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✨Apply Directly through Our Website
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We think you need these skills to ace Business Analyst - Global Data Solutions & Snowflake (Lead II - Business Analysis) in City of London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UST, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UST
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UST!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
