Data Analyst (Ezulwini)

Business Problem Definition and Use Case Development

•Conduct structured engagements (workshops, interviews, document reviews) with operational divisions to identify strategic, compliance, and performance challenges requiring analytics, BI, or automated decision support

•Analyse existing processes, policies, performance reports, and system outputs to identify decision bottlenecks, inefficiencies, and risk areas suitable for advanced analytics or risk-based automation

•Translate business questions into clearly scoped analytics and BI problem statements, defining objectives, assumptions, constraints, dependencies, and intended decisions

•Define business logic, success measures, and operational outcomes required to guide data engineering, analytics modelling, and BI development

•Develop structured analytics and BI use cases outlining business context, expected value, success measures, operational impact, and system integration considerations

•Engage Data Platform & Integration Specialist to confirm platform constraints, integration feasibility, access controls, and governance requirements for proposed use cases

•Prioritise use cases in collaboration with the Director: Data & Analytics, considering value, feasibility, data readiness, and implementation complexity

•Ensure alignment with ERS strategic objectives, compliance mandates, operational priorities, and ERS Data Strategy.

•Analytics and Business Intelligence Alignment

•Work with Data Scientist to define and validate analytical intent, modelling objectives, assumptions, risk indicators, and success criteria before and during model development

•Collaborate with BI Analyst to translate analytical and risk outputs into decision-focused dashboards, reports, and performance views

•Engage Data Engineer to confirm data definitions, transformations, and data quality requirements necessary to support analytics and BI use cases

•Work with Data Platform & Integration Specialist to ensure analytics and risk-engine outputs can be operationalised within approved platforms, integrated with source and downstream systems, and aligned with access, security, and governance controls

•Validate analytical logic, model outputs, and BI products against business context, operational constraints, and policy requirements prior to deployment

•Embed business rules, policy intent, and operational context into analytics and AI products, including the risk engine, ensuring risk scores, thresholds, and outputs are explainable, actionable, and operationally usable

•Act as the primary business validator of analytics outputs before operational adoption

 

Performance Frameworks and Decision Enablement

•Design KPIs, thresholds, and targets informed by analytics, trends, and policy objectives

•Define decision rules and escalation logic translating analytics into operational actions

•Support integration of analytics outputs into planning, audit, compliance, and debt management workflows

•Ensure performance frameworks are measurable, auditable, and governance-compliant

•Monitor BI outputs over time to ensure ongoing accuracy, relevance, and alignment with business needs

•Translate business policies, operational practices, and compliance strategies into decision rules, thresholds, and logic used within analytics products such as risk engines, prioritisation models, and intervention frameworks.

 

Stakeholder Engagement and Enablement

•Act as liaison between business units and Data & Analytics specialists

•Facilitate structured interpretation sessions to explain analytical results, limitations, and implications

•Support preparation of analytics outputs for Management

 

Continuous Improvement and Strategic Contribution

•Periodically review implemented use cases for effectiveness and relevance

•Identify opportunities to refine KPIs, assumptions, and decision logic

•Contribute business insight to ERS Data Strategy and analytics governance initiatives

1. EDUCATION & QUALIFICATIONS

·Minimum:

§ Bachelor’s Degree in Economics, Statistics, Business Analytics, Operations Research, Public Policy, or a related discipline

§ Strong background in performance management, strategic analysis, business process analysis, and data analysis and reporting.

·Advantageous:

§ Postgraduate qualification in Business Analytics, Economics, Strategy, or Public Administration

§ Exposure to analytics-enabled, compliance, or regulatory environments

Project management experience or exposure

 

2. EXPERIENCE

·Minimum:

§ At least two (2) years’ experience in business analysis, strategy, planning, performance management, or analytics-enabled decision support

§ Proven experience translating business problems into analytical or reporting requirements

§ Experience defining KPIs, performance frameworks, and decision-support metrics

·Advantageous:

·Experience supporting business operations, analytics and reporting functions in a revenue administration, regulatory, or compliance-driven environments

 

3. COMPETENCIES

A: Skills

·Critical and analytical thinking

·Business problem structuring and analytical reasoning

·Performance measurement and KPI design

·Interpretation and communication of analytical insights

·Presentation and communication of insights

·Collaboration and stakeholder engagement

B: Knowledge

·Business processes, operational policy interpretation, and analytics-enabled risk management

·Analytics, BI, and decision-support frameworks, including risk engines and prioritisation models

·Data quality, validation, explainability, and governance standards

C: Behaviours (Attributes)

·Analytical and detailed-oriented

·Collaborative and facilitative

·Innovative and solutions-driven

·Self-motivated and proactive