A. About the Role:

We are looking for an Senior Analyst/ Analyst – Enterprise SaaS’ with experience in electricity demand forecasting, state-level energy portfolio analysis, weather-based analytics, and power-sector software solutions. The role involves developing and analysing data-driven forecasting solutions for state electricity utilities, supporting demand prediction, load curve analysis, forecast accuracy improvement, and operational decision-making.

The ideal candidate should have a strong understanding of power-sector operations and electricity demand patterns, with the ability to analyse large datasets, identify demand trends, incorporate weather-related factors, evaluate forecasting performance, and collaborate with technical teams to improve forecasting models and enterprise SaaS applications.

Key Responsibilities

- Develop and analyse electricity demand forecasts for state-level power portfolios, including large-scale portfolios with peak demand of approximately up to 32,000 MW.
- Prepare short-term, day-ahead, and week-ahead electricity demand forecasts using historical load data, demand patterns, weather conditions, and operational parameters.
- Perform load curve analysis across 96, fifteen-minute blocks to identify demand peaks, load variations, trends, maxima, minima, and sudden changes in electricity consumption.
- Apply statistical forecasting techniques, including linear trend analysis, regression, parabolic curve fitting, and pattern recognition, to analyse demand behaviour and anticipate upcoming peaks and troughs.
- Integrate weather parameters such as temperature, humidity, rainfall, cloud cover, precipitation forecasts, and wind conditions into demand forecasting analysis.
- Analyse the impact of weather transitions, holidays, special events, supply restrictions, and rostering schedules on state-level electricity demand.
- Evaluate forecast performance using Mean Absolute Percentage Error (MAPE) and other relevant statistical metrics to identify deviations and improve forecasting accuracy.
- Perform data cleaning, pre-processing, validation, and exploratory data analysis on historical demand, actual consumption, forecast, and weather datasets.
- Retrieve, process,



and analyse data from databases and external data sources, including weather and operational data, to support forecasting and analytics workflows.
- Collaborate with data science and IT teams on forecasting model training, tuning, evaluation, testing, and performance improvement.
- Monitor forecasted versus actual electricity demand, investigate forecasting errors, and identify opportunities to improve model reliability under changing weather and operational conditions.
- Prepare weekly and monthly forecasting reports, analytical presentations, and client progress updates to communicate demand trends, forecast deviations, and operational insights.
- Identify forecasting risks, data inconsistencies, and operational uncertainties, and support the development of corrective measures for improved forecast reliability.
- Collaborate with power-sector domain experts, clients, and cross-functional teams to translate state-specific forecasting requirements into analytical solutions.

B. Expectations from the role:

- Strong understanding of electricity demand forecasting, state-level energy portfolios, load curves, and power-sector operations.
- Practical knowledge of short-term and week-ahead load forecasting, demand pattern recognition, and time-series analysis.
- Understanding of statistical forecasting techniques, including linear regression, trend analysis, curve fitting, and other quantitative forecasting methods.
- Python for data analysis and forecasting workflows, with hands-on experience using Pandas, NumPy, and relevant statistical libraries (preferred).
- Experience analysing large datasets, performing data cleaning, feature preparation, data validation, and exploratory data analysis.
- Understanding of weather-based demand forecasting and the relationship between meteorological parameters and electricity consumption.




- Ability to identify demand anomalies, investigate forecast deviations, and assess the effects of weather changes, holidays, and operational constraints.
- Understanding of machine learning concepts and their application to electricity demand forecasting, including model evaluation, training, tuning, and validation.
- Ability to work with technical teams on forecasting model development, testing, deployment support, and continuous improvement.
- Proficiency in Microsoft Excel and PowerPoint for data analysis, forecasting reports, client presentations, and performance monitoring.
- Familiarity with enterprise SaaS applications, data quality assurance, documentation, and structured analytical workflows.
- Strong analytical and problem-solving skills, with the ability to translate complex electricity demand patterns into actionable insights.
- Effective communication and collaboration skills for working with clients, power-sector experts, data science teams, and software engineers.

C. Required skill set

- Power Sector Knowledge: Understanding of Indian power-sector operations, state-level demand forecasting, load curve analysis, and energy portfolio management.
- Data Analytics & Visualization: Experience in electricity demand analysis, forecast accuracy evaluation, MAPE calculations, Excel reporting, and data-driven insights.
- Forecasting & Machine Learning(preferred): Knowledge of time-series forecasting, linear regression, trend analysis, curve fitting, and ML-based forecasting concepts.

D. Education and Experience

- Education: M.Tech./BE/B.Tech (Electrical, Computer Science, IT, Electronics and their associated branches) or M.Sc./ B.Sc. (Computer Science, IT, Mathematics) or MCA.
- Experience: 1–3 years of experience in electricity demand forecasting, energy analytics, and power-sector software solutions.
- Domain Experience: Experience in state-level power demand forecasting, energy portfolio analysis, weather-based forecasting, load curve analysis, and forecast accuracy evaluation.

- Location
- Base location shall be Current Delhi.

E. Remuneration Structure

- We offer a motivation based and competitive reward package.

📌 Senior Analyst/ Analyst- Enterprise SaaS (New Delhi)
🏢 Mercados Energy Markets
📍 New Delhi