Senior Data Analyst

RESPONSIBILITIES

• Senior Data Analyst will design, develop, and maintain data pipelines and ETL processes
• Ensure data quality and integrity across various sources and platforms
• Collaborate with IT to integrate data solutions within existing infrastructure
• Develop and implement simple machine learning models and algorithms to derive actionable insights
• Perform data analysis and visualization to support business decisions
• Conduct experiments and validations to iterate on model performance
• Collaborate with UX/UI designers to develop user-friendly interfaces for AI-driven tools
• As a Senior Data Analyst, you will implement interactive web applications to visualize data and model outcomes
• Integrate front-end applications with back-end services and databases
• Manages allotted projects to achieve deadlines pertaining to the scope of SCADA integration, commissioning, startup, and testing
• Works collaboratively with in-house resources and suppliers in various disciplines to determine project priorities, achieve milestones and actions, schedule and work plans to meet milestones
• Plans and schedules work and vendors to achieve portfolio deliverables
• Commission SCADA equipment for Photovoltaic and Energy Store System
• Senior Data Analyst will read and review engineering drawing for SCADA and power plant equipment
• Reporting daily, weekly, and monthly on progress to upper management
• Performs other job-related duties as assigned

REQUIREMENTS

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics or related education, or equivalent experience related to Data Analytics for Renewable power plants
• Excellent communication, analytical and problem-solving skills
• Renewable industry experience
• The ideal candidate will have a foundation in data science and the technical skills necessary for data engineering and some front-end development knowledge; This role is key in driving the development and implementation of minimum viable products for intelligent solutions that optimize internal processes and SCADA operations for Renewable power plants

Preferred Skillsets

• Experience with data processing frameworks like Apache Spark, Hadoop, or Kubernetes
• Familiarity with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular
• Understanding of RESTful APIs and web services integration
• Knowledge of AI and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn
• Proficiency in programming languages such as Python, R, or Scala for data analysis and machine learning
• Adept at using SQL and NoSQL databases