Data-Driven Business Analyst

Bridges business needs and technical solutions by gathering, analysing, and translating requirements into actionable specifications grounded in data evidence. Enhances decision-making through dashboards, models, and process maps, ensuring solutions deliver measurable value.

Digital Business Analyst, Technical Business Analyst, Insights Analyst

Elicits requirements through workshops, analyses workflows, models data, and creates user stories. Uses business intelligence platforms, process-mapping tools, and lightweight statistical packages to validate assumptions and inform design decisions.

Retailers optimising omni-channel operations | Public sector agencies improving citizen services | Financial institutions seeking regulatory compliance | Technology start-ups scaling data capability | Transport operators streamlining logistics

Entry often begins in operational or analyst roles where curiosity and analytical rigour are demonstrated. Mastery of data storytelling and stakeholder engagement leads to senior analyst positions, advising on solution design. From there, individuals can specialise in artificial intelligence analytics, move into product ownership, or pivot towards consultancy within 6-8 years.

Data-driven decision-making is integral to competitiveness, so skilled analysts remain in demand. Advancements in self-service analytics, machine learning, and process mining create new specialisms. Progression can lead to analytics management, product strategy, or enterprise architecture planning.

Structured query language for data extraction tasks | Dashboard creation in modern visual analytics tools | Process mapping with intuitive modelling software | Requirements documentation in collaborative backlog systems | Statistical analysis using accessible scripting languages | Data quality assessment and cleansing methodologies | User acceptance testing coordination and metric tracking

Active listening to elicit nuanced requirements | Logical reasoning to structure complex information | Persuasive presentation of data insights | Facilitation enabling consensus among diverse stakeholders | Attention to detail ensuring specification accuracy | Adaptability when priorities shift rapidly