Posted 09 July, 2026
Consultant - Asset Management (Fabric/Data Brick)
KPMG
Gurugram,Haryana,IN,122002
Full Time
Reference: 218_549848_30046543
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, DP600/700, PL300)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 analyticsled transformation initiatives within complex, multistakeholder environments.Exposure to enterprise platforms and systems (ERP, PMIS, project controls, finance or operational systems).
Mandatory technical & functional skills
Data & Analytics
Strong understanding of endtoend data pipelines: Data ingestion (SQL, Excel, SharePoint, SAP/ERP extracts), Data transformation and modelling, Warehousing / Lakehouse concepts
Handson 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 & LowCode
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, AIassisted decision support and insights
Experience collaborating with data science teams or implementing AIenabled 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, stagegate controls, and performance metrics, Process reengineering using data and automation
Ability to conduct asis / tobe analysis, identify inefficiencies, and recommend technologyled solutions.
Strong stakeholder management and communication skills in a consulting environment.
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Roles & responsibilities
