Analytics Lead

Role Summary:

Analytics Lead is responsible for designing, building, and maintaining the infrastructure for data generation, storage, and retrieval. Also managing a team of data scientists, planning and executing data projects, and developing analytical models

Roles and Responsibility:

• Manage a team of data scientists and data engineers
• Plan and prioritize data projects to align with business goals.
• Data Pipeline Development: Create and manage data pipelines to ensure efficient data flow and processing 1.
• Database Management: Design, implement, and optimize databases for storing large volumes of data 2.
• Data Integration: Integrate data from various sources and ensure its quality and consistency1.
• Performance Optimization: Monitor and improve the performance of data systems2.
• Collaboration: Lead data scientists and analysts to support their data needs

Role Specific Competencies:

• Responsible for designing, building, and maintaining the infrastructure for data generation, storage, and retrieval
• Strong understanding of machine learning and statistical analysis.
• Proficiency in programming languages such as Python.
• Experience with SQL and NoSQL databases.
• Excellent data management and visualization skills.
• Strong organizational and leadership abilities.
• Effective communication skills to convey complex data insights.
• Business acumen to align data projects with organizational goals.
• Strong understanding of cloud technologies, with expertise in AWS SageMaker (required skill)
• Exposure to sales, marketing & supply chain setup.
• Good to have manufacturing exposure.