Analytics Engineering Lead

Job Description: As an Analytics Lead, you will be responsible for designing, building, and maintaining the infrastructure for data generation, storage, and retrieval. You will also manage a team of data scientists, plan and execute data projects, and develop analytical models to drive business insights. Key Responsibilities: - Manage a team of data engineers to ensure smooth operations and project delivery. - Plan and prioritize data/application development projects to align with business goals effectively. - Develop and manage data pipelines for efficient data flow and processing. - Design, implement, and optimize databases to store large volumes of data securely. - Integrate data from various sources, ensuring quality and consistency throughout the process. - Monitor and enhance the performance of data systems for optimal efficiency. - Collaborate with analysts to understand and fulfill their data requirements effectively. Qualifications Required: - 5 to 8 years of relevant experience in data analytics and infrastructure management. - Strong expertise in machine learning, statistical analysis, and data modeling. - Proficiency in programming languages like Python and .NET. - Experience working with SQL and NoSQL databases for data storage and retrieval. - Excellent data management and visualization skills to present insights effectively. - Strong organizational and leadership abilities to lead a team of data professionals. - Effective communication skills to articulate complex data insights clearly. - Business acumen to align data projects with organizational objectives and goals. - Proficient in cloud technologies, specifically AWS SageMaker (required skill). - Exposure to sales, marketing, and supply chain setups, with manufacturing exposure being a plus. (Note: Any additional details about the company were not mentioned in the provided job description.),