Job Description
Responsibilities:
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Wrangle data on Azure: organise, clean, and consolidate messy sources using Azure SQL, Data Factory and Fabric; and sensible data models (star schema).
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Design end-to-end flows: from ingestion to semantic model to Power BI dashboards that business users can actually use.
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Build robust calculations: model relationships and write clean DAX (incl. RLS, time intelligence, performance-aware measures).
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Apply analytics: use statistics/predictive methods where they move the needle; validate results with clear checks.
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Own delivery: gather requirements, run workshops, iterate fast, document decisions, and deploy to prod.
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Work flexibly: hybrid structure; travel to client sites when it helps (plant walkthroughs, commissioning, training).
Minimum Requirements:
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Bachelor’s degree or equivalent experience.
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Track record delivering BI solutions in consulting or internal BI.
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2+ years in BI/analytics with Power BI + DAX + SQL as core tools.
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Real exposure to Azure data services (Data Factory/Fabric/ Azure SQL).
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Solid dimensional modelling (facts/dimensions, relationships, incremental refresh basics).
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Can troubleshoot across pipeline model report (perf issues, data quality, calc errors).
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Stakeholder skills: translate vague asks into concrete backlog items and shipped dashboards.
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Git-based workflow (branches, PRs) and basic promotion (Dev/Test/Prod).
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Databricks/Spark/Delta, Python for data prep/validation.
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CI/CD for Power BI (Deployment Pipelines, PBIP, semantic-model versioning).
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PL-300 / DP-500 / DP-203 (Microsoft Certifications).
Benefits:
- Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to *****@*****.co.za
GO APPLY NOW
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