Junior Data Analyst
4 days ago
Responsibilities:
Wrangle data on Azure: organise, clean, and consolidate messy sources using Azure SQL, Data Factory and Fabric; and sensible data models (star schema).
Design end-to-end flows: from ingestion to semantic model to Power BI dashboards that business users can actually use.
Build robust calculations: model relationships and write clean DAX (incl. RLS, time intelligence, performance-aware measures).
Apply analytics: use statistics/predictive methods where they move the needle; validate results with clear checks.
Own delivery: gather requirements, run workshops, iterate fast, document decisions, and deploy to prod.
Work flexibly: hybrid structure; travel to client sites when it helps (plant walkthroughs, commissioning, training).
Bachelor's degree or equivalent experience.
Track record delivering BI solutions in consulting or internal BI.
2+ years in BI/analytics with Power BI + DAX + SQL as core tools.
Real exposure to Azure data services (Data Factory/Fabric/ Azure SQL).
Solid dimensional modelling (facts/dimensions, relationships, incremental refresh basics).
Can troubleshoot across pipeline → model → report (perf issues, data quality, calc errors).
Stakeholder skills: translate vague asks into concrete backlog items and shipped dashboards.
Git-based workflow (branches, PRs) and basic promotion (Dev/Test/Prod).
Databricks/Spark/Delta, Python for data prep/validation.
CI/CD for Power BI (Deployment Pipelines, PBIP, semantic-model versioning).
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 [email protected]
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