Consultant - Asset Management (Fabric/Data Brick)
Educational qualifications
•Bachelor’s degree in Engineering (Civil, Computer Science, Metallurgy, Electrical, or related discipline).
•MBA / Postgraduate degree in Management, Analytics, Strategy, Digital Transformation, or Construction/Infrastructure Management (preferred).
•Relevant certifications preferred but not mandatory:Microsoft (Power BI, Fabric, Power Platform, Azure, DP‑600/700, PL‑300)PMP / CAPM / Agile / Product ManagementData Analytics / AI Fundamentals
Prior Experience
•2-5 years of relevant experience in digital transformation, analytics, consulting, or enterprise program delivery.
•Experience in at least one of the following: (1) Management / Technology / Strategy Consulting (2) Capital Projects, Infrastructure, Power & Utilities, Oil & Gas, Engineering & Construction (3) Analytics, Data Engineering, BI, or Automation roles
•Proven experience delivering analytics‑led transformation initiatives within complex, multi‑stakeholder environments.Exposure to enterprise platforms and systems (ERP, PMIS, project controls, finance or operational systems).
Mandatory technical & functional skills
Data & Analytics
•Strong understanding of end‑to‑end data pipelines: Data ingestion (SQL, Excel, SharePoint, SAP/ERP extracts), Data transformation and modelling, Warehousing / Lakehouse concepts
•Hands‑on experience with Power BI, including Power Query transformations, Data modelling and relationships, DAX (intermediate level or higher), Dashboard design and performance optimization
•Proficiency in SQL for querying, transformation, and validation.
•Experience with Microsoft Fabric / Azure analytics ecosystem (Lakehouse, Dataflows, semantic models) is highly desirable.
•Understanding of data quality, reconciliation, governance, and documentation.
Automation & Low‑Code
•Working knowledge of Power Platform: Power Apps (app design and integration), Power Automate (workflow automation)
•Ability to automate manual reporting and operational processes.
AI & Advanced Analytics
•Solid conceptual and practical understanding of AI and machine learning use cases, including: Forecasting and predictive analytics, Trend and variance analysis, AI‑assisted decision support and insights
•Experience collaborating with data science teams or implementing AI‑enabled analytics solutions.
•Basic proficiency in Python for analytics or AI is an advantage.
Digital Transformation & Consulting
•Experience in: Digital enablement of PMO/TMO or enterprise reporting, Governance frameworks, stage‑gate controls, and performance metrics, Process re‑engineering using data and automation
•Ability to conduct as‑is / to‑be analysis, identify inefficiencies, and recommend technology‑led solutions.
•Strong stakeholder management and communication skills in a consulting environment.
Roles & responsibilities
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