Source description
About the role
Job Requirements Engineer – Digital Dashboard
Roles & Responsibilities:
• Design and develop interactive dashboards and reports using Power BI. • Build and optimize data models (star schema) and write advanced DAX measures. • Perform data extraction, transformation, and loading (ETL) using Power Query and SQL. • Collaborate with stakeholders to gather requirements and translate them into actionable insights. • Implement row-level security (RLS), manage workspaces, and ensure governance standards. • Optimize report performance and manage scheduled refreshes and data gateways. • Conduct ad-hoc analysis, trend forecasting, and deliver business recommendations. • Document data definitions, maintain lineage, and support self-service analytics.
Education and Experience:
• 1 to 3 years of Experience with datasets & KPIs in Oil & Gas, Petrochemical, Heavy Industrial assets • Bachelor’s/master’s in engineering/relevant field • Strong in Power BI, DAX, Power Query, and SQL • Experience with data modelling, RLS, and deployment pipelines • Excellent analytical and communication skills.
Work Experience Engineer – Digital Dashboard
Roles & Responsibilities:
• Design and develop interactive dashboards and reports using Power BI. • Build and optimize data models (star schema) and write advanced DAX measures. • Perform data extraction, transformation, and loading (ETL) using Power Query and SQL. • Collaborate with stakeholders to gather requirements and translate them into actionable insights. • Implement row-level security (RLS), manage workspaces, and ensure governance standards. • Optimize report performance and manage scheduled refreshes and data gateways. • Conduct ad-hoc analysis, trend forecasting, and deliver business recommendations. • Document data definitions, maintain lineage, and support self-service analytics.
Education and Experience:
• 1 to 3 years of Experience with datasets & KPIs in Oil & Gas, Petrochemical, Heavy Industrial assets • Bachelor’s/master’s in engineering/relevant field • Strong in Power BI, DAX, Power Query, and SQL • Experience with data modelling, RLS, and deployment pipelines • Excellent analytical and communication skills.
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