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 machine learning algorithm development, financial modeling, and energy portfolio management. Additionally, expertise in backend development using Python and R, advanced visualization techniques with Python, Tableau, and Power BI, and database management is required.

B) Detailed expectations from the role

The key responsibilities of this role will include the following:

1. Model Development: Develop, implement, and optimize machine learning models for forecasting, anomaly detection, and optimization within the energy sector.
2. Utilize Python, R, TensorFlow, scikit-learn, and other libraries to build robust models.
3. Collaborate with cross-functional teams to integrate machine learning models into production environment.
4. Utilize EDA Exploratory Data Analysis) and ETL( Extraction transformation and load) tools for developing machine learning models.
5. Manage and optimize large-scale databases using SQL, NoSQL (MongoDB).
6. Build and maintain financial models using Python, R, and Excel to assess and manage energy portfolios, risk assessment, and investment strategies.
7. Analyse market trends, regulatory impacts, and economic factors influencing the Indian power sector using statistical techniques.

1. Advanced Visualization Techniques: Develop insightful and interactive visualizations using Python (Matplotlib, Seaborn), Excel, Tableau, and Power BI to support decision-making and stakeholder communication.
2. Create and maintain dashboards and reports that monitor key performance indicators and model outputs.

C) Required skill set

• Manage and optimize databases like SQL, NoSQL (MongoDB).
• Utilize Python libraries like Pandas, Scipy, TensorFlow, scikit-learn, and other libraries to build models.
• Utilize Python libraries like Matplot-lib, Seaborn and other tools to develop visualization insight from data.
• Proficiency in Advance Excel, VS-Code and various tools for data analysis purpose.

Preferred Skills:

• Expertise in time series analysis and forecasting techniques.
• 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.
• Familiarity with big data technologies like Hadoop, Spark.
• Knowledge of Indian energy sector policies, regulations, and market operations.
• Strong communication and collaboration skills.

D) Education and Experience

• B. Tech / Master's in Electrical, Energy Engineering, or related fields with 5+ years experience in power sector.
• Relevant experience in backend development with specialization in data science, machine learning, and database management, with a focus on the energy sector.
• Proficiency in 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 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.

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