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.
- Other info: Dynamic role with opportunities to learn and grow in AI technologies.
- 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.
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
- Treat all AI outputs as drafts, applying human judgement before use
- Agent lifecycle ownership sits with senior BAs — you will contribute and learn to design, create and maintain AI Agents and prompts
- Work closely with:
- Product Managers (product initiatives)
- Customer Champions (customer engagements)
- Engineers and QA during delivery and change
- Support impact analysis for customer change requests
- Help ensure customer-specific work does not unintentionally degrade product integrity
- Operate in line with ISO27001, ISO42001 and SOC II controls
- Ensure AI usage complies with:
- Data classification policies
- Customer data handling rules
- Maintain basic traceability of requirements and decisions where required
- Escalate risks, ambiguity, or uncertainty early
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
- Strong written communication and attention to detail
- Comfort using AI tools (e.g. LLMs) to support analysis, with an understanding that:
- AI accelerates work
- Humans remain accountable
- Curiosity about AI-assisted delivery, prompt design, or responsible AI use
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
ServisBOT is an exceptional employer located in Manchester, UK, offering a hybrid work model that promotes flexibility and work-life balance. With a strong focus on employee growth, the company fosters a collaborative culture where junior roles are supported and encouraged to develop their skills in AI-driven enterprise automation. Employees benefit from working in a cutting-edge environment that prioritises security, compliance, and innovation, making it an ideal place for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Business Analyst (Conversational AI) in Manchester
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like ServisBOT!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Junior Business Analyst (Conversational AI) in Manchester
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at ServisBOT, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at ServisBOT
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with ServisBOT’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
