Business Data & Analytics Consultant

Role Purpose

The Business Data & Analytics Consultant serves as a bridge between client operational needs and analytical solutions by converting business queries into precise, trustworthy data analyses and decision support tools. This position involves collaborating with various stakeholders to define decisions, determine necessary data, establish calculation methods, and interpret outputs with appropriate governance and quality controls.

The Consultant acts as a link between business knowledge and technical teams such as data architects and visualization experts. Responsibilities include developing use cases, gathering requirements, designing indicators, conducting exploratory data investigations, crafting dashboard specifications, overseeing acceptance tests, and delivering insightful reports. While the role supports decision-making through transparent evidence and clear explanations, it does not directly make decisions for clients.

Key Responsibilities

• Gather and document the business questions, decision points, stakeholders, expected outcomes, and constraints linked to analytic projects.
• Translate stakeholder demands into concrete requirements relating to data, calculation methods, indicators, and reporting formats.
• Identify relevant data sources, including ownership, data definitions, quality needs, temporal coverage, and necessary transformations.
• Create detailed use-case charters, analytical requirement documents, indicator definitions, and maintain traceability records.
• Conduct exploratory data analysis and validate observed patterns or anomalies in partnership with subject experts.
• Define every aspect of indicators such as calculation logic, dimensions, filters, benchmarks, frequency, and interpretation instructions.
• Collaborate with engineering, architectural, and visualization teams to ensure requirements can be correctly implemented and tested.
• Outline expected behaviors and functionalities of dashboards, reports, and data products from both business and user perspectives.
• Support and carry out user acceptance testing ensuring outputs align with established definitions and trusted datasets.
• Present analytical findings through clear narratives, visualizations, tables, and practical recommendations oriented toward decision-making.
• Document any caveats about data quality, assumptions, confidence intervals, and guidelines for responsible data use.
• Train client personnel to correctly interpret analytical outputs and maintain requirement and indicator documentation.

Qualifications and Experience

• A bachelor’s degree in analytics, statistics, economics, information systems, business, or related disciplines. Equivalent relevant education combined with significant consulting or implementation experience may also be acceptable.
• Between 3 to 7 years’ experience in business or data analysis, performance management, or analytics roles.
• Proven background in business analysis, data analysis, reporting, or decision support functions.
• Experience capturing and translating business requirements into technical analytics specifications and validating analytical outputs with end-users.
• Exposure to government operations, performance assessment, or policy analysis is advantageous.

Technical and Domain Expertise

• Expertise in business analysis methodologies and requirements management.
• Design of analytical use cases and indicators.
• Understanding of data sourcing, definitions, dimensional modeling, calculations, and validation procedures.
• Ability to conduct exploratory analytics using SQL, spreadsheets, or analytical platforms.
• Competency in defining dashboard/report requirements and acceptance criteria from a user standpoint.
• Knowledge of data quality, metadata management, data lineage, and ethical considerations in data use.
• Understanding of benefits measurement, outcomes, and decision-support metrics.
• Strong written communication skills to develop clear analytical documentation and compelling data stories.

Core Competencies

• Requirements analysis and stakeholder interviewing.
• SQL proficiency and data analytic skills.
• Indicator and metric design.
• Effective data storytelling and business process insight.
• Awareness of data quality and metadata governance.
• Strong curiosity about business dynamics.
• High precision in capturing and communicating requirements.
• User-oriented perspective and workshop facilitation.
• Ability to bridge business and technical perspectives and present findings transparently without overstating conclusions.
• Skill in producing decision-ready analyses and professional reporting.
• Capability to manage feedback, revisions, and acceptance testing processes.
• Competency training clients on interpreting and maintaining analytical products.

Preferred Certifications

• Certified Business Analysis Professional (CBAP) or PMI Professional in Business Analysis (PMI-PBA)
• Microsoft Power BI Data Analyst Associate
• Certified Data Management Professional (CDMP) Associate