Senior Analyst-Enterprise SaaS

A) About the Role

We are seeking a highly skilled and experienced ‘Senior Analyst-Enterprise SaaS’ to join our team, specializing in the Indian power sector. The ideal candidate will have a robust background in optimization using GAMS (General Algebraic Modelling System), machine learning algorithm development, financial modelling, and energy portfolio management. Additionally, expertise in backend development using Python and R, advanced visualization techniques with Python, Tableau, and Power BI, along with database management is required.

B) Detailed expectations from the role

The key responsibilities of this role will include the following :

Optimization & Model Development :

Developing Optimization models w.r.t. Power portfolio of State Utilities based upon Resource Adequacy guidelines using GAMS.

Develop, implement, and optimize machine learning models (LSTM, XG Boost, ARIMA, SARIMA, LR, Ridge, Lasso RF etc.) for demand and price forecasting, anomaly detection etc.

Utilize Python, R, TensorFlow, scikit-learn, and other libraries to build robust models.

Collaborate with cross-functional teams to integrate machine learning models into production environment.

Utilize EDA (Exploratory Data Analysis) and ETL (Extraction transformation and load) tools for developing machine learning models.

Manage and optimize large-scale databases using SQL, NoSQL (MongoDB).

Build and maintain financial models using Python, R, and Advanced Excel to assess and manage energy portfolios, risk assessment, and investment strategies.

Analyse market trends, regulatory impacts, and economic factors influencing the Indian power sector using statistical techniques.

System (Data) automation using VBA and Macros.

Hands on experience in Short / Medium / Long Term Load Forecasting and Price Forecasting using statistical and machine learning tools.

Advanced Visualization Techniques :

Develop insightful and interactive visualizations using Python (Matplotlib, Seaborn), Advanced Excel, Tableau, and Power BI to support decision-making and stakeholder communication.

Create and maintain dashboards for meaningful reports that monitor key performance indicators and model outputs.

Optimization and Energy Management Dashboard creation

C) Required skill set

Developing models for Power Portfolio Optimization using GAMS

Expertise in time series analysis and forecasting techniques using machine learning.

Manage and optimize databases like SQL, NoSQL (MongoDB).

Utilize Python libraries like Pandas, Scipy, TensorFlow, scikit-learn, and other libraries to build forecasting models.

Utilize Python libraries like Matplot-lib, Seaborn and other tools to develop visualization insight from data.

Proficiency in Advance Excel, Power BI, VS-Code and various tools for data analysis purpose.

Preferred Skills :

Understanding of electricity energy trading.

Familiarity with optimization techniques for energy management.

Experience with Git.

Experience with cloud platforms such as AWS, Azure, or Google Cloud.

Knowledge of Indian energy sector policies, regulations, and market operations.

Strong communication and collaboration skills.

Client Management

D) Education and Experience

B. Tech / Master’s in Electrical, Energy Engineering, Computer Science, Information Technology or related fields like Statistics, Mathematics, Economics etc. with 5+ years’ experience in power sector optimization and forecasting models.

Relevant experience in backend development with specialization in optimization, data science, machine learning, and database management, with a focus on the energy sector.

Proficiency in GAMS, Python, R, and advanced visualization tools (Power BI and Advance Excel).

Understanding of energy markets and portfolio management.

E) Work Location

Base location shall be New Delhi. However, the role might require the applicant to undertake travel for pursuing various opportunities.

F) Remuneration Structure

We offer a motivation based and competitive reward package.