Job Requirements
Engineer – Digital Dashboard
Roles & Responsibilities:
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Design and develop interactive dashboards and reports using Power BI.
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Build and optimize data models (star schema) and write advanced DAX measures.
-
Perform data extraction, transformation, and loading (ETL) using Power Query and SQL.
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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.
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Document data definitions, maintain lineage, and support self-service analytics.
Education and Experience:
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1 to 3 years of Experience with datasets & KPIs in Oil & Gas, Petrochemical, Heavy Industrial assets
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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.
