Project Controls Analyst
Profile Code: AL-RNW-04
- ₹9 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Project Controls Management | Cost & Schedule Analysis | Earned Value Management (EVM) | Budgeting & Forecasting | Risk Management & Mitigation | Primavera P6 & Project Reporting | Data Analytics & Dashboarding | Stakeholder & Performance Management
Overview Video
About This Course
A Project Controls Analyst in the renewable energy industry focuses on tracking project cost, schedule, and performance to ensure successful delivery of energy projects such as solar and wind installations. This course equips learners with the skills to monitor KPIs such as budget variance, schedule adherence, and resource utilization, and support project planning and control. Participants gain hands-on experience with tools like Excel, along with exposure to SQL and BI dashboards for reporting and analysis. The program emphasizes project planning, cost control, and performance tracking in large-scale renewable energy projects. Learners will understand how to identify risks, manage timelines, and ensure projects are delivered efficiently and within budget. By the end of the course, they are prepared for roles in project controls and analytics, with career progression into project management, program leadership, and energy operations strategy positions.
Course Content
4 modules · 12 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Project Controls Analysts in the Renewable Energy industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, project planning, budget tracking, earned value analysis, cost control, schedule monitoring, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, variance analysis, resource planning, and interactive dashboards to monitor renewable energy projects, improve project performance, optimize costs, and support data-driven project control decisions.
SCADA Course
The **SCADA Course** covers basic to advanced concepts for Project Controls Analysts in the Renewable Energy industry, including SCADA architecture, real-time data acquisition, sensor integration, asset monitoring, equipment performance tracking, alarm and event management, renewable energy plant monitoring, operational dashboards, fault detection, production monitoring, historical data analysis, industrial communication protocols, workflow automation, reporting, system integration, compliance monitoring, performance analytics, predictive maintenance support, and operational intelligence to monitor renewable energy assets, improve project execution, and support efficient project planning and performance management.
Power BI Course
The **Power BI Course** covers basic to advanced business intelligence concepts for Project Controls Analysts in the Renewable Energy industry, including Power Query, data transformation, data modeling, DAX calculations, KPI development, dashboard creation, interactive visualizations, project progress dashboards, cost and schedule tracking, resource utilization analytics, executive reporting, drill-through reports, forecasting visualization, automated reporting, performance monitoring, risk analysis, compliance reporting, data storytelling, and business intelligence techniques to transform project and operational data into actionable insights for improved project governance, timely decision-making, and renewable energy portfolio success.
Python Course
The **Python Course** covers basic to advanced concepts for Project Controls Analysts in the Renewable Energy industry, including Python fundamentals, variables, data types, control statements, functions, object-oriented programming, file handling, exception handling, NumPy, Pandas, Matplotlib, data preprocessing, project data automation, schedule analytics, cost forecasting, predictive modeling, API integration, reporting automation, machine learning fundamentals, data visualization, and workflow optimization to automate project control activities, analyze renewable energy project performance, improve forecasting accuracy, and support intelligent project management.
Key Responsibilities
- Monitor and control project costs, schedules, and performance metrics for renewable energy projects
- Develop project control reports, forecasts, and key performance indicators
- Analyze project risks, variances, and resource utilization to support decision-making
- Coordinate with engineering, procurement, and construction teams to ensure project objectives are met
- Maintain project baselines and provide insights to improve project efficiency and profitability
Growth Path
Tools Used
Perfect For
Civil, Mechanical, and Electrical Engineering Graduates | Renewable Energy Project Professionals | Project Controls and Planning Aspirants | Construction & Infrastructure Professionals | Commercial and Operations Analysts | Individuals Interested in Renewable Project Management
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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