Business Data & Analytics Consultant

Role Purpose

The Business Data & Analytics Consultant translates client questions and operational needs into trusted analytical requirements, indicators, analyses and decision-support products. The role helps stakeholders define the decision to be supported, identify required data, agree calculation logic and interpret results with appropriate context, quality and governance controls. The consultant works across business and technical teams, connecting subject-matter expertise with data architecture, engineering, metadata, quality and visualisation.

Work may include use-case development, requirements elicitation, indicator design, exploratory analysis, dashboard specifications, acceptance testing and insight communication. The role does not own the client's decisions; it provides transparent evidence and explains assumptions, limitations and implications so authorised stakeholders can act confidently.

Elicit and document the business questions, decisions, users, outcomes and constraints for analytical use cases. Translate stakeholder needs into data, calculation, indicator, reporting and acceptance requirements. Identify source datasets, definitions, owners, quality conditions, time periods and required transformations. Develop use‑case charters, analytical requirements, indicator definitions and traceability records. Perform exploratory analysis and validate patterns, exceptions and limitations with subject‑matter experts. Define calculation logic, dimensions, filters, targets, frequency and interpretation guidance for indicators.

Work with engineers, architects and visualisation specialists to ensure requirements are implementable and testable. Specify dashboard, report and data‑product behaviour from a business and user perspective. Support user acceptance testing and verify that outputs reconcile to definitions and trusted sources. Communicate findings through clear narratives, tables, visuals and decision‑focused recommendations. Document data‑quality caveats, assumptions, confidence limits and responsible‑use considerations. Train client users to interpret outputs correctly and maintain requirements and indicator definitions.

Bachelor's degree in analytics, statistics, economics, information systems, business or a related field. An equivalent combination of relevant education and directly applicable consulting or implementation experience may be considered.

Typically 3-7 years in business analysis, data analysis, performance management or analytics. Experience in business analysis, data analysis, analytics, reporting or decision-support work. Experience eliciting requirements and translating business questions into data and analytical specifications. Experience validating indicators, dashboards, reports or analytical products with users. Exposure to government services, operational performance or policy analysis is preferred.

Business‑analysis and requirements‑management techniques. Analytical use‑case and indicator design. Data sourcing, definitions, dimensions, calculations and validation. Exploratory analysis using SQL, spreadsheets or analytical tools. Dashboard and report requirements and user‑acceptance criteria. Data quality, metadata, lineage and responsible‑use considerations. Benefits, outcomes and decision‑support measurement. Clear analytical documentation and data storytelling.

Requirements analysis. SQL and data analysis. Indicator design. Data storytelling. Business process knowledge. Quality and metadata awareness. Business curiosity. Requirements precision. User focus. Interviewing stakeholders and clarifying ambiguous questions. Facilitating use‑case, indicator and requirements workshops. Translating between business and technical teams. Presenting evidence, assumptions and limitations without over claiming. Producing decision‑ready analysis and professional reports. Managing feedback, revisions and acceptance criteria. Teaching client users how to interpret and maintain analytical outputs.

CBAP or PMI-PBAMicrosoft Power BI Data Analyst Associate CDMP Associate

Requirements analysis SQL and data analysis Indicator design