Power BI Insights Architect: Dashboards & Data Storytelling

Datonomy Solutions (Pty) Ltd; South Africa; On-site; ZAR 600,000 - 900,000; Full time

Job summary

Datonomy Solutions (Pty) Ltd is seeking a Power BI and Data Insights Specialist to design dashboards and narrate data stories that drive decisions. You will combine reporting development, analytical judgement and UX principles to create clear, usable insights for business stakeholders.

Responsibilities include defining KPI needs, building data models, validating metrics and ensuring dashboard performance. Collaboration with data teams and business users is key to success in this role.

Qualifications

• Portfolio of Power BI dashboards showing strong visual hierarchy and practical business use.
• Hands-on Power BI development with DAX, Power Query and solid data modelling.
• SQL and analytical capability to interrogate data and validate measures.

Responsibilities

• Define the decisions, questions, KPIs and reporting needs that each dashboard must support.
• Design report journeys, wireframes, page layouts, filters and drill paths for the audience.
• Develop Power BI reports, data models and measures using DAX, Power Query and SQL.
• Validate metrics, reconcile results to sources and document calculation rules, assumptions and data limitations.
• Analyse trends, variances and exceptions and present a narrative with business implications.
• Improve usability, accessibility, refresh reliability and performance through user feedback and collaboration.
• Maintain report documentation and access controls, support adoption and knowledge transfer to users.

Skills

Power BI dashboards

DAX

Power Query

Data modelling

Wireframing

UI/UX

Communication

Tools

SQL

Job description

Datonomy Solutions (Pty) Ltd is seeking a Power BI and Data Insights Specialist to design dashboards and narrate data stories that drive decisions. You will combine reporting development, analytical judgement and UX principles to create clear, usable insights for business stakeholders.

Responsibilities include defining KPI needs, building data models, validating metrics and ensuring dashboard performance. Collaboration with data teams and business users is key to success in this role.