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- Tasks: Bridge the gap between business needs and technical teams for data initiatives.
- Company: Join a leading Data Consultancy focused on innovative Azure-based solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of data analytics and AI, making a real impact.
- Qualifications: Experience as a Technical Business Analyst with strong data platform knowledge.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We’re supporting a Data Consultancy who is seeking an experienced Technical Business Analyst to support the delivery of large-scale, Azure-based data initiatives. This role sits within multi-disciplinary delivery teams focused on modern data platforms, analytics, and AI-enabled solutions. The successful candidate will be a data-focused Technical BA, capable of operating between business stakeholders and technical teams, with sufficient technical depth to engage credibly on data and platform discussions, without being hands-on at an engineering level.
Key Responsibilities
- Act as the primary interface between business stakeholders, product owners, and technical delivery teams
- Elicit, analyse, and document functional and non-functional requirements for data and analytics initiatives
- Translate business needs into clear technical requirements, user stories, and acceptance criteria
- Work closely with Data Engineers, Architects, and Analytics teams across Azure data platforms
- Support initiatives involving data ingestion, transformation, analytics, and AI-enabled use cases
- Facilitate workshops, stakeholder interviews, and backlog refinement sessions
- Ensure alignment between business objectives, technical solutions, and delivery outcomes
- Support UAT planning, execution, and defect triage
- Produce and maintain high-quality documentation including: Process flows, Data mappings, Solution and platform overviews
Required Experience & Skills
- Proven experience working as a Technical Business Analyst on data-led programmes
- Strong understanding of modern data platforms and data architectures
- Hands-on experience working within Microsoft Azure environments
- Familiarity with technologies such as Databricks & Microsoft Fabric, Data lakes, data warehouses, and analytics platforms
- Ability to engage confidently with technical teams on: Data pipelines and ingestion patterns, Reporting and analytics use cases, AI and advanced analytics concepts (at a conceptual level)
- Strong stakeholder management and communication skills
- Experience working within Agile / Scrum delivery environments
- Ability to produce clear documentation for both technical and non-technical audiences
- Exposure to AI / Machine Learning initiatives from a requirements or delivery perspective
- Experience working in consulting or client-facing delivery environments
- Familiarity with data governance, data quality, and security considerations
Business Data Analyst employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for interviews by brushing up on your technical knowledge. Make sure you can confidently discuss Azure platforms, data pipelines, and analytics use cases. Practise explaining complex concepts in simple terms – it’ll impress both technical teams and business stakeholders.
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, highlight specific projects where you acted as the bridge between business needs and technical solutions. This will demonstrate your ability to translate requirements effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Business Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of a Business Data Analyst. Highlight your experience with Azure, data platforms, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 makes you a perfect fit for this role. Don’t forget to mention your experience in stakeholder management and Agile environments.
Showcase Your Technical Skills: Since this role requires a solid understanding of technical concepts, make sure to include specific examples of your work with data architectures and tools like Databricks or Microsoft Fabric. We love seeing how you’ve engaged with technical teams!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Morgan McKinley
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of modern data platforms and architectures, especially within Azure. Be ready to discuss how you've engaged with data pipelines and analytics use cases in previous roles.
✨Speak Their Language
When talking to technical teams, use the right terminology. Familiarise yourself with concepts like data lakes, Databricks, and AI-enabled solutions. This will help you engage confidently and show that you understand the technical depth required for the role.
✨Showcase Your Stakeholder Skills
Prepare examples of how you've successfully managed stakeholders in the past. Highlight your experience in facilitating workshops and interviews, as well as how you've translated business needs into clear technical requirements.
✨Documentation is Key
Be ready to discuss your approach to producing high-quality documentation. Bring examples of process flows or data mappings you've created, and explain how these have supported project delivery and stakeholder understanding.
