Mid-Level Business Analyst – George (Onsite) at Datafin Recruitment

ENVIRONMENT:

• A fast-growing AI Product and InsurTech business is building next-generation AI agents that operate inside real-world business environments, handling live customer interactions, automating workflows, and delivering measurable commercial outcomes within a regulated insurance environment is looking for a Mid-Level Business Analyst who can operate confidently in ambiguity, translating high-level business vision into structured, build-ready specifications for engineering teams.
• This is not a traditional documentation role, but rather a highly analytical, product-focused role suited to someone who enjoys solving complex business problems, challenging assumptions, and shaping AI-enabled products from concept through to delivery.

DUTIES:

• Lead business discovery sessions with stakeholders to uncover true business needs and operational pain points.
• Map current-state business processes and design improved AI-enabled workflows.
• Own requirements gathering from discovery through to delivery, testing, and acceptance.
• Translate executive vision and business objectives into structured, build-ready specifications.
• Write detailed Product Requirement Documents (PRDs), user stories, functional specifications, and acceptance criteria.
• Define system inputs, outputs, acceptable behaviour ranges, human intervention points, and escalation workflows.
• Identify edge cases, failure modes, exception handling, and operational risks as part of requirements definition.
• Challenge assumptions using data, process analysis, and stakeholder interrogation.
• Run structured workshops and facilitate alignment across conflicting stakeholder priorities.
• Support sprint planning, backlog refinement, stand-ups, retrospectives, and Agile delivery ceremonies.
• Maintain requirements traceability throughout the full product lifecycle.
• Work closely with Product, Engineering, Operations, and Leadership teams to ensure successful delivery.

REQUIREMENTS:

Business Analysis

• Minimum 3+ years’ experience as a Business Analyst, Systems Analyst, or Product Analyst.
• Proven experience owning delivery from discovery through implementation.
• Strong experience gathering, analysing, documenting, and validating business requirements.
• Ability to work confidently with vague, evolving, or incomplete requirements.

Process & Documentation

• Strong process mapping skills using BPMN, UML, or similar methodologies.
• Experience writing PRDs, user stories, functional specifications, workflows, and acceptance criteria.
• Experience maintaining requirements traceability throughout delivery.

Agile Delivery

• Strong experience working in Agile delivery environments.
• Exposure to sprint planning, stand-ups, backlog refinement, retrospectives, and delivery ceremonies.

Data & Analysis

• Ability to query, interpret, and validate data using SQL, Excel, BI tools, or similar.
• Strong analytical thinking with the ability to challenge assumptions using data.

Stakeholder Management

• Strong facilitation, workshop leadership, and stakeholder engagement skills.
• Comfortable challenging executives, business owners, and operational teams when clarity is required.
• Ability to navigate competing priorities and conflicting business objectives.

Advantageous:

• Experience defining requirements for AI products, automation platforms, recommendation engines, decision-support systems, or non-deterministic products.
• Experience designing workflows where human review, exception handling, and escalation paths are required.
• Exposure to regulated industries such as Insurance, Financial Services, Healthcare, or Compliance-driven environments.
• Experience with MoSCoW prioritisation or similar structured prioritisation frameworks.
• Product delivery experience within startup, scale-up, or product-led environments.

ATTRIBUTES:

• Highly analytical and naturally curious.
• Comfortable operating in ambiguity.
• Structured thinker with strong commercial awareness.
• Confident challenging assumptions and asking difficult questions.
• Strong written communication and documentation skills.
• Comfortable working with uncertainty, complexity, and evolving requirements.
• Delivery-focused and solutions-driven.