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For Companies At a Glance
- Tasks: Lead client discovery and translate business needs into AI-driven solutions.
- Company: Aim Reply, a boutique AI consulting firm focused on innovation.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in AI and data transformation.
- Qualifications: Bachelor's degree in relevant fields and 1-3 years of business analysis experience.
- Other info: Embrace diversity and enjoy a supportive work environment.
The predicted salary is between 36000 - 60000 £ per year.
AIM Reply's aspiration is to enable enterprises to leverage, industrialise and monetise Artificial Intelligence capabilities for business transformation, growth, and value. The guiding mission is to establish a world‐class boutique AI consulting and services firm. Brought together with a set of industry‐focused offerings (Retail/FMCG; Manufacturing/Logistics and Financial Services/Insurance), dedicated partnerships with big tech companies, and a network of AI start‐ups.
As a business analyst, you will lead client‐facing discovery, requirements gathering, and delivery support across a variety of AI/GenAI, data, and digital or operational projects. Your focus will be on embedding AI and data‐driven thinking where it genuinely adds value to client outcomes. You will translate complex business needs into implementable solutions, collaborating closely with architects, engineers, data scientists and ML engineers. This role requires a blend of analytical, technical, and communication skills to ensure successful project delivery and measurable business impact.
Responsibilities
- Lead end‐to‐end discovery activities, including stakeholder interviews, workshops, current‐state mapping, pain‐point analysis and prioritisation.
- Define and manage requirements such as epics, features, user stories, acceptance criteria, traceability and change control.
- Analyse business processes, define target operating procedures, support product and configuration decisions, and drive UAT planning and execution.
- Frame use‐cases, document decision workflows, define measurable outcomes and KPIs, and capture comprehensive data requirements.
- Collaborate with architects to ensure requirements align with architecture constraints, integration patterns, security and compliance.
- Support delivery ceremonies (Agile/Scrum or hybrid), manage RAID logs, track dependencies, and provide status reporting to leadership.
- Produce high‐quality client deliverables, including project plans, roadmaps, user journey maps, process flows, data/process definitions and executive summaries.
- Contribute to consulting excellence through reusable templates, playbooks, lessons learned, pre‐sales support, and by supporting communities of practice and centres of excellence in AI, Data, Architecture and Integration.
About the Candidate
- Bachelor's degree (2:1 or higher) in Computer Science, Information Systems, Engineering, Mathematics/Statistics or a related field (or equivalent experience) is essential.
- Master's degree (e.g., MSc Data/Analytics, MSc Information Systems) and relevant certifications (Scrum, AWS/Azure) are advantageous.
- 1-3 years' experience as a Business Analyst (or Product/Delivery Analyst) in consulting or complex enterprise environments.
- Strong requirements engineering skills, including facilitation of workshops, conflict resolution and stakeholder alignment.
- Solid understanding of data concepts (entities, metrics, lineage, data quality and reporting) and ability to clearly express data needs to technical teams.
- Comfortable working with technical teams (architects, engineers, data professionals) and translating between business and technology requirements.
- Practical delivery experience with Agile methodologies, including user story creation, backlog refinement, UAT support and clear documentation.
- Excellent written communication skills, producing structured, concise and executive‐friendly documentation.
- Additional strengths include experience supporting AI/ML or GenAI initiatives, familiarity with analytics/BI and experimentation concepts, exposure to large enterprise operating models and use of architecture/data modelling notations and tools (BPMN, UML, C4, Jira, Confluence, Miro).
Business Analyst - AI & Data Advisory in Westminster employer: Reply Ltd
Contact Detail:
Reply Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business Analyst - AI & Data Advisory in Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on 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 AI and data. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills through projects or case studies. Create a portfolio that highlights your analytical and technical abilities, especially in AI and data-driven projects. This will set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at AIM Reply.
We think you need these skills to ace Business Analyst - AI & Data Advisory in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Business Analyst role. Highlight your experience with AI, data, and Agile methodologies. We want to see how your skills align with our mission at AIM Reply!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data-driven solutions. Let us know how you can contribute to our team and help clients achieve their goals.
Showcase Your Communication Skills: As a Business Analyst, strong communication is key. In your application, demonstrate your ability to convey complex ideas clearly and concisely. We love seeing examples of how you've done this in past roles!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Reply Ltd
✨Know Your AI and Data Basics
Before the interview, brush up on your understanding of AI and data concepts. Be ready to discuss how these technologies can drive business transformation and value. Familiarise yourself with key terms and frameworks relevant to the role, as this will show your enthusiasm and readiness to engage with technical teams.
✨Prepare for Stakeholder Scenarios
Since you'll be leading discovery activities, think about past experiences where you've gathered requirements or facilitated workshops. Prepare specific examples that highlight your skills in stakeholder alignment and conflict resolution. This will demonstrate your ability to manage diverse perspectives effectively.
✨Showcase Your Agile Experience
As Agile methodologies are crucial for this role, be prepared to discuss your practical experience with Agile practices. Bring examples of user stories you've created, how you've refined backlogs, and your involvement in UAT support. This will illustrate your hands-on knowledge and ability to contribute to delivery ceremonies.
✨Communicate Clearly and Concisely
Excellent written communication is a must for this position. Practice summarising complex ideas into clear, concise points. During the interview, aim to articulate your thoughts in an executive-friendly manner, showcasing your ability to produce structured documentation that aligns with client needs.
