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Asset Monitoring Analyst

Profile Code: AL-OIL-01

  • 10 LPA (Median Salary)
  • Lecture Duration 2hrs
  • Course Duration 8 Weeks

Skills You Learn: Predictive Maintenance Analytics | Asset Performance Management (APM) | SCADA & IoT Data Analysis | Reliability Engineering | Dashboarding & Reporting | Root Cause Analysis | Data Visualization Tools | Risk Assessment

₹50,918₹63,648
20% Early Bird Discount
Enroll Now Course Content

Overview Video

Asset Monitoring Analyst

About This Course

An Asset Monitoring Analyst in the oil & gas, energy, and utilities sector focuses on tracking the performance, health, and reliability of critical assets such as pipelines, plants, and equipment. This course equips learners with the skills to monitor KPIs like uptime, downtime, asset utilization, and maintenance performance using data-driven tools. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards, along with exposure to sensor and operational data. The program emphasizes condition monitoring, performance analysis, and predictive maintenance strategies in asset-intensive environments. Learners will understand how to identify potential failures, optimize maintenance schedules, and improve operational efficiency. By the end of the course, they are prepared for roles in asset and operations analytics, with career progression into maintenance strategy, asset management, and energy operations leadership positions.

Key Responsibilities

  • Monitor asset performance and equipment health using IoT and SCADA data
  • Analyze predictive maintenance trends and identify potential failures
  • Create dashboards and reports for asset reliability metrics
  • Coordinate with maintenance and operations teams to optimize asset utilization
  • Ensure data accuracy and support condition-based maintenance strategies

Growth Path

Asset Monitoring AnalystSenior Asset Performance AnalystReliability EngineerAsset Integrity ManagerHead of Asset Management

Tools Used

ExcelCMMSBIPython

Perfect For

Mechanical Engineering Graduates | Electrical & Instrumentation Engineers | Data & Analytics Professionals | Maintenance Engineers | Energy & Utility Sector Aspirants | Professionals Interested in Industrial IoT

Fee Structure

Fee DetailsAmount
Programme Fee₹63,648
★ Full Payment Gets 20% Early Bird Discount · save ₹12,730
Total Fee (After Discount)₹50,918

Mentor

AL

Analytics Learners

Professional Analyst & Mentor

4.8(3211 reviews)