Senior Manager- Analytics

As a Tech Lead - Analytics & Data Products at Swiggy, you will be an integral part of the Analytics team with a focus on developing data products and solutions that leverage machine learning to drive operational excellence and business impact. With 6-8 years of experience in analytics, data science, or related fields, you will have the opportunity to lead medium-sized technical teams and collaborate with cross-functional teams to enhance data product reliability and accuracy. You will be responsible for designing, developing, and deploying data products that enhance insight generation and improve decision-making capabilities across the organization. Your expertise in machine learning techniques, such as regression and classification, will be utilized to develop robust and scalable ML models for various business needs. In addition to focusing on data products and machine learning integration, you will play a key role in driving operational excellence within the analytics team. This includes streamlining workflows, increasing team productivity, and ensuring operational efficiency in analytics processes. Working closely with data engineering teams, you will optimize data pipelines and infrastructure to enhance accuracy, reliability, and scalability. As part of your responsibilities, you will design and measure experiments to test business hypotheses and establish the right metrics frameworks to track progress toward goals. Your role will also involve building user-friendly automated solutions for root cause analyses and empowering internal teams with self-service analytics capabilities. In this position, you will set high benchmarks for technical execution, lead the roadmap for analytics solutions, and mentor team members for skill-building and impactful delivery. Your strong communication and collaboration skills will be essential in leading the team towards success. Join Swiggy's Analytics team to make a significant impact by leveraging your expertise in analytics, data products, machine learning, and operational excellence.,