S & M - Engineer – Digital Dashboard

Engineer – Digital Dashboard

Roles & Responsibilities:

1. Design and develop interactive dashboards and reports using Power BI.
2. Build and optimize data models (star schema) and write advanced DAX measures.
3. Perform data extraction, transformation, and loading (ETL) using Power Query and SQL.
4. Collaborate with stakeholders to gather requirements and translate them into actionable insights.
5. Implement row-level security (RLS), manage workspaces, and ensure governance standards.
6. Optimize report performance and manage scheduled refreshes and data gateways.
7. Conduct ad-hoc analysis, trend forecasting, and deliver business recommendations.
8. 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.

Engineer – Digital Dashboard

Roles & Responsibilities:

1. Design and develop interactive dashboards and reports using Power BI.
2. Build and optimize data models (star schema) and write advanced DAX measures.
3. Perform data extraction, transformation, and loading (ETL) using Power Query and SQL.
4. Collaborate with stakeholders to gather requirements and translate them into actionable insights.
5. Implement row-level security (RLS), manage workspaces, and ensure governance standards.
6. Optimize report performance and manage scheduled refreshes and data gateways.
7. Conduct ad-hoc analysis, trend forecasting, and deliver business recommendations.
8. 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.