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- Tasks: Drive data analysis and solution design for our innovative data platform.
- Company: Join a leading IT services company in a hybrid work environment.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of our data ecosystem.
- Qualifications: 6+ years as a Business Analyst with strong data platform knowledge.
- Other info: Collaborate in Agile teams and work with cutting-edge data technologies.
The predicted salary is between 36000 - 60000 £ per year.
Business Analyst – Data Platform (Specialist I – Software Engineering)
Location: London (Hybrid)
Employment Type: Fixed Term Employment / Full-time
We are looking for an experienced Business Analyst to join our Data Platform Programme in London. This role will play a critical part in shaping the future of our data ecosystem by driving requirements gathering, data analysis, and solution design. Acting as the bridge between business stakeholders, data engineers, and solution architects, you will ensure the successful delivery of high-quality data products and analytics capabilities.
Key Responsibilities
- Gather, analyze, and document business requirements for data platform initiatives.
- Translate business needs into clear functional and non-functional requirements.
- Partner with data engineers, architects, and developers to design scalable, robust solutions.
- Facilitate workshops, interviews, and elicitation sessions with stakeholders.
- Support initiatives around data migration, governance, and quality.
- Define use cases, process flows, and acceptance criteria.
- Contribute to backlog grooming, sprint planning, and testing within Agile teams.
- Ensure solutions align with business objectives and regulatory standards.
Required Skills & Experience
- Minimum of 6 years’ experience as a Business Analyst, ideally within data-focused projects.
- Strong understanding of data platforms, data lakes, data warehouses, and ETL/ELT processes.
- Hands‑on SQL and data analysis expertise.
- Familiarity with cloud platforms (AWS, Azure, GCP) and modern data tools.
- Excellent stakeholder management, communication, and documentation skills.
- Proven track record working in Agile environments (Scrum/Kanban).
Desirable Skills
- Knowledge of data governance frameworks and compliance (GDPR, CCPA, etc.).
- Experience with BI and analytics tools (Power BI, Tableau, Looker).
- Exposure to AI/ML data initiatives.
If you’re passionate about data, skilled at translating business needs into innovative solutions, and eager to make a real impact, we’d love to hear from you.
Seniority Level
Mid‑Senior level
Job Function
Research, Analyst, and Information Technology
Industry
IT Services and IT Consulting
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Business Analyst – Data Platform (Specialist I - Software Engineering) employer: UST Global
Contact Detail:
UST Global Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst – Data Platform (Specialist I - Software Engineering)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data analysis and stakeholder management. We recommend doing mock interviews with friends or using online resources to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving data platforms and analytics. This will give potential employers a tangible sense of what you can bring to the table.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Business Analyst – Data Platform (Specialist I - Software Engineering)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Business Analyst in our Data Platform Programme. Highlight your experience with data-focused projects and any relevant skills like SQL or cloud platforms. We want to see how you can fit into our team!
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 our needs. Don’t forget to mention specific experiences that showcase your stakeholder management and Agile expertise.
Showcase Your Analytical Skills: In your application, be sure to include examples of how you've gathered and documented business requirements in the past. We love seeing how you’ve translated complex data needs into actionable solutions, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at UST Global
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data platforms, data lakes, and ETL/ELT processes. Be ready to discuss how these concepts apply to the role and share examples from your past experience where you've successfully gathered and analysed business requirements.
✨Showcase Your Stakeholder Skills
Prepare to talk about your experience in stakeholder management. Think of specific instances where you facilitated workshops or interviews, and how you translated business needs into functional requirements. This will demonstrate your ability to bridge the gap between technical teams and business stakeholders.
✨Get Agile Savvy
Since this role involves working in Agile environments, be prepared to discuss your experience with Scrum or Kanban. Share how you've contributed to backlog grooming, sprint planning, and testing, and how these practices have led to successful project outcomes.
✨Familiarise Yourself with Tools
If you have experience with BI tools like Power BI or Tableau, make sure to highlight that. Also, if you've worked with cloud platforms such as AWS, Azure, or GCP, be ready to discuss how you've used these technologies in your previous roles to deliver data solutions.
