At a Glance
- Tasks: Support product teams and customer deliveries in shaping AI solutions.
- Company: Join ServisBOT, a leader in AI-driven enterprise automation.
- Benefits: Hybrid work model, professional growth, and a collaborative environment.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 2 years experience in business analysis and strong communication skills.
- Other info: Dynamic role with opportunities to learn and grow in AI technologies.
The predicted salary is between 30000 - 42000 £ per year.
Location: Manchester, UK (Hybrid - 3 days per week in office)
About ServisBOT
ServisBOT is building the next generation of AI-driven enterprise automation for regulated industries — a secure, compliant SaaS platform where AI and humans work together to deliver outcomes our clients can trust. We partner with global customers across banking, insurance, and other highly controlled environments, delivering AI-enabled solutions that meet demanding security, compliance, and reliability requirements, without slowing innovation. AI is embedded into how we build and deliver: accelerating insight, streamlining delivery, and helping teams move faster from idea to impact. And because trust matters, humans stay in control and accountable — with the governance, auditability, and operational rigor enterprises expect.
Role Purpose
As a Junior Business Analyst, you’ll play a dynamic, hands-on role supporting both our product team and customer deliveries. You’ll help shape ideas into clear, actionable work — defining problems, capturing high-quality requirements, and keeping momentum across the full lifecycle of our conversational AI solutions. Day to day, you’ll flex across project coordination, product support, testing, and implementation — from discovery and design through release, hypercare, and ongoing change — using AI tools safely and responsibly to accelerate insight and delivery while keeping outcomes governed and customer-ready. You’ll become a go-to expert in ServisBOT’s platforms and delivery tools, supporting effective implementation in client environments and ensuring we deliver measurable value. You’ll also build confidence in key AI concepts like prompt engineering, LLMs, and RAG, helping translate customer needs into practical, trustworthy AI-enabled solutions.
Key Responsibilities
- Problem Definition & Discovery (Supported Ownership)
- Support discovery activities for product initiatives and customer engagements
- Help analyse customer needs, business processes, and constraints
- Use AI tools to:
- Summarise discovery inputs
- Explore problem spaces
- Draft initial problem statements
- Validate AI-assisted outputs with senior BAs, Product Managers, and Customer Champions
- Produce clear, structured requirements and acceptance criteria under guidance
- Use AI to:
- Generate first-pass requirements
- Identify gaps, edge cases, and assumptions
- Ensure final requirements are:
- Understandable
- Testable
- Reviewed and approved by accountable stakeholders
- Contribute to the creation and refinement of analysis and discovery prompts
- Follow established prompt standards to ensure:
- Reusability
- Auditability
- Safe handling of customer and internal data
- Work closely with:
- Product Managers (product initiatives)
- Customer Champions (customer engagements)
- Engineers and QA during delivery and change
- Operate in line with ISO27001, ISO42001 and SOC II controls
- Ensure AI usage complies with:
- Data classification policies
- Customer data handling rules
Skills & Experience
Required
- Minimum 2 years experience in a Business Analyst, Junior BA, or similar role
- Experience working with:
- Requirements gathering
- User stories / acceptance criteria
- Stakeholder collaboration
- AI accelerates work
- Humans remain accountable
Desirable
- Experience working with enterprise or regulated customers (banking, insurance, etc.)
- Familiarity with Agile or iterative delivery models
- Awareness of data security, compliance, or audit-driven environments
Ways of Working
At ServisBOT:
- AI-assisted work is the default, not optional
- AI outputs are treated as drafts — humans own outcomes
- Security, compliance, and auditability matter as much as speed
- Junior roles are supported, coached, and expected to grow
- You’ll be encouraged to learn quickly, ask good questions, and build strong fundamentals in analysis, communication, and judgement.
Junior Business Analyst (Conversational AI) in Manchester employer: ServisBOT
Contact Detail:
ServisBOT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Business Analyst (Conversational AI) in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 related to business analysis and AI tools. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with requirements gathering, user stories, and any AI projects you've worked on. This will give potential employers a clear view of what you 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, it shows you’re genuinely interested in joining our team at ServisBOT.
We think you need these skills to ace Junior Business Analyst (Conversational AI) in Manchester
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Junior Business Analyst role. Highlight your experience with requirements gathering and stakeholder collaboration, as these are key aspects of the job. We want to see how your skills align with what we’re looking for!
Show Off Your AI Knowledge: Since this role involves working with AI tools, don’t shy away from showcasing your familiarity with them. Mention any relevant experience you have with AI-assisted analysis or prompt design. We love seeing candidates who are curious about responsible AI use!
Be Clear and Concise: When writing your application, clarity is crucial. Use straightforward language and structure your thoughts logically. Remember, strong written communication is one of the skills we value, so make sure your application reflects that!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at ServisBOT!
How to prepare for a job interview at ServisBOT
✨Know Your AI Basics
Make sure you brush up on key AI concepts like prompt engineering and LLMs. Being able to discuss these topics confidently will show that you're not just familiar with the tools, but also understand their implications in a business context.
✨Understand the Company’s Mission
Take some time to research ServisBOT and its focus on AI-driven enterprise automation. Understanding their goals and how they partner with industries like banking and insurance will help you align your answers with their mission during the interview.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem definition and discovery skills. Think of examples from your past experience where you successfully gathered requirements or collaborated with stakeholders to solve a problem, and be ready to share those stories.
✨Show Your Curiosity
Demonstrate your eagerness to learn about AI-assisted delivery and responsible AI use. Ask insightful questions about how ServisBOT implements these practices, which will show your genuine interest in the role and the company.