Business Intelligence Analyst

Introduction Through our client-facing brands Metropolitan and Momentum, with Multiply (wellness and rewards programme), and our other specialist brands, including Guardrisk and Eris Property Group, the group enables business and people from all walks of life to achieve their financial goals and life aspirations.

We help people grow their savings, protect what matters to them and invest for the future. We help companies and organisations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilising new platforms Momentum Metropolitan provides practical financial solutions for people, communities and businesses. Visit us at www.momentummetropolitan.co.za

Disclaimer As an applicant, please verify the legitimacy of this job advert on our company career page.

Role Purpose The Business Intelligence Analyst is responsible for designing, developing, enhancing, and supporting enterprise reporting, analytics, and business intelligence solutions. The role bridges the gap between business and data by translating business requirements into trusted insights, data models, dashboards, and analytical solutions that enable informed decision-making.

The incumbent is accountable for the full reporting lifecycle, including requirements gathering, data analysis, dimensional modelling, report development, data validation, testing, deployment, stakeholder engagement, and ongoing support. The role also acts as a first-line analytical resource, investigating data-related business questions, resolving reporting issues, and ensuring business users can confidently interpret and consume data.

Requirements Degree in Computer Science, Data Analytics, or related field

5–7+ years’ experience in BI / analytics development

Advanced MS Power BI expertise

DAX optimisation

Advanced SQL skills

Understanding of data governance, security, and compliance in cloud environments.

Understanding of data warehousing concepts, dimensional modelling, and KPI definition.

Exposure to data profiling, data quality assessment, and root-cause analysis.

Duties & Responsibilities Advanced Data Modelling & Architecture

Solution Design & Delivery Leadership

Complex Reporting & Analytics

Data Integration & Transformation (source to target mapping)

Stakeholder & Business Engagement (Senior Level)

Deployment, Standards & SDLC Governance

Innovation & Continuous Improvement

Engage with business stakeholders to understand analytical and reporting requirements.

Perform ad-hoc data analysis to answer business questions and support decision-making.

Investigate data anomalies, trends, and root causes of data-related issues.

Success Measures (KPIs)

Reporting solution delivery within agreed timelines.

Stakeholder satisfaction and adoption of reporting solutions.

Accuracy and quality of reports and dashboards.

Reduction in manual reporting effort.

Data quality issues identified and resolved.

Reusability and standardisation of datasets and semantic models.

Stability and performance of BI solutions.

Compliance with governance, security, and SDLC standards.

Competencies Accountability and ownership

Strong communication, facilitation and storytelling skills

Stakeholder management & influence

Analytical thinking & problem solving

Attention to detail & quality mindset

Curiosity and investigative mindset.