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Reliability Analyst

Profile Code: AL-AUT-04

  • 11 LPA (Median Salary)
  • Lecture Duration 2hrs
  • Course Duration 12 Weeks

Skills You Learn: Reliability engineering and asset performance management | Root cause analysis (RCA) and failure analysis techniques | Predictive and preventive maintenance strategies | Statistical analysis of equipment failures and downtime | Condition monitoring using IoT and sensor data | Data analysis tools (Excel, SQL, Python, Power BI) | Reliability-centered maintenance (RCM) methodologies | Industrial equipment and manufacturing system understanding | KPI tracking such as MTBF, MTTR, and availability | Cross-functional coordination with maintenance and operations teams

₹52,404₹65,505
20% Early Bird Discount
Enroll Now Course Content

Overview Video

Reliability Analyst

About This Course

A Reliability Analyst in the automobile, auto components, and EV industry focuses on ensuring product and equipment reliability by analyzing failure patterns, maintenance data, and performance metrics. This course equips learners with the skills to track reliability KPIs such as failure rates, mean time between failures (MTBF), and downtime, and identify root causes of defects or breakdowns. Participants gain hands-on experience with tools like Excel, along with exposure to SQL and BI dashboards for data analysis and reporting. The program emphasizes reliability engineering concepts, root-cause analysis, and preventive and predictive maintenance strategies. Learners will understand how to improve product quality, reduce failures, and enhance operational efficiency in manufacturing and EV ecosystems. By the end of the course, they are prepared for roles in reliability and operations analytics, with career progression into maintenance strategy, quality leadership, and operations management positions.

Course Content

4 modules · 12 weeks · 2hrs/day
1

SQL Course

The **SQL Course** covers basic to advanced concepts for Reliability Analysts in the Automobile, Auto Components, and EV industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, reliability data extraction, failure analysis, warranty reporting, maintenance analytics, fleet performance monitoring, data validation, and large dataset management to retrieve, transform, and analyze reliability data for predictive maintenance, quality improvement, and data-driven operational decision-making.

2

Python Course

The **Python Course** covers basic to advanced concepts for Reliability Analysts in the Automobile, Auto Components, and EV industry, including Python fundamentals, variables, data types, control statements, functions, object-oriented programming, file handling, exception handling, NumPy, Pandas, Matplotlib, data preprocessing, statistical analysis, failure prediction, predictive maintenance models, machine learning basics, automation scripting, API integration, telemetry data processing, reliability analysis, reporting automation, and visualization techniques to analyze operational data, improve asset reliability, automate workflows, and support intelligent business decision-making.

3

BI Course

The **BI Course** covers basic to advanced business intelligence concepts for Reliability Analysts in the Automobile, Auto Components, and EV industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, reliability reporting, fleet performance dashboards, failure trend analysis, warranty analytics, maintenance monitoring, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, compliance reporting, performance monitoring, forecasting visualization, and business intelligence techniques to transform reliability and operational data into actionable insights for continuous improvement and strategic decision-making.

4

Telemetry Platforms Course

The **Telemetry Platforms Course** covers basic to advanced concepts for Reliability Analysts in the Automobile, Auto Components, and EV industry, including telemetry fundamentals, IoT device connectivity, sensor data acquisition, real-time vehicle monitoring, battery performance tracking, CAN bus data analysis, GPS and location monitoring, event logging, fault code analysis, remote diagnostics, alert management, predictive maintenance, data streaming, cloud-based telemetry integration, dashboard monitoring, asset health analysis, fleet analytics, anomaly detection, system performance reporting, and telemetry data management to improve vehicle reliability, operational efficiency, and proactive maintenance strategies.

Key Responsibilities

  • Monitor and analyze equipment reliability across manufacturing plants and EV systems
  • Track failure rates, downtime, and mean time between failures (MTBF) for critical assets
  • Develop predictive maintenance strategies to reduce unexpected breakdowns
  • Conduct root cause analysis (RCA) for recurring equipment failures
  • Implement reliability-centered maintenance (RCM) practices
  • Work with maintenance and operations teams to improve asset uptime
  • Analyze sensor and IoT data for early fault detection
  • Recommend design or process improvements to enhance equipment life
  • Ensure compliance with safety and reliability standards
  • Prepare reliability dashboards, KPIs, and performance reports for management

Growth Path

Reliability AnalystSenior Reliability EngineerReliability Engineer / Asset Performance EngineerMaintenance & Reliability ManagerPlant Reliability HeadHead of Asset Management / Maintenance ExcellenceDirector of Manufacturing Reliability & Operations Excellence

Tools Used

SQLPythonBITelemetry Platforms

Perfect For

Mechanical, electrical, and industrial engineering graduates interested in manufacturing and EV systems | Maintenance and operations professionals in automobile and auto components industries | Data and analytics professionals focused on industrial reliability and asset performance | Candidates aiming for roles in plant maintenance, reliability engineering, or asset management | Freshers and early-career engineers entering manufacturing, EV production, or smart factory roles | Professionals transitioning into predictive maintenance, IoT-based monitoring, or industrial analytics

Fee Structure

Fee DetailsAmount
Programme Fee₹65,505
★ Full Payment Gets 20% Early Bird Discount · save ₹13,101
Total Fee (After Discount)₹52,404

Mentor

AL

Analytics Learners

Professional Analyst & Mentor

4.1(245 reviews)