Operations Manager - II, Easyship
- Salary
- ₹29–53 LPA
- Location
- Bengaluru
- Level
- Manager
- Experience
- Intermediate · 2+ years
About company
* Work closely with BIEs, Data Engineers, and Scientists in the team to collaborate effectively with product managers and create scalable solutions for business problems * Create program goals and related metrics, track progress, and manage through obstacles to help the team achieve objectives * Identify opportunities for improvement or automation in existing data processes and lead the changes using business acumen and data handling skills * Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing * Contribute to seller operations strategy development based on data analysis * Lead strategic projects to formalize and scale organizational processes * Build and manage weekly, monthly, and quarterly business review metrics * Build data reports and dashboards using SQL, Excel, and other tools to improve business efficiency across programs * Provide solutions that drive the team's business decisions and highlight new opportunities * Demonstrate proficiency in Generative AI, LLMs, data modeling, and applying basic statistical methods for difficult business problems BASIC QUALIFICATIONS - 2+ years of employee and performance management experience - Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience - We have a 5-day work week but given the 7 days a week operation, the 2 scheduled days off will vary based on shift patterns and business needs. PREFERRED QUALIFICATIONS - 3+ years of performance metrics, process improvement or lean techniques experience
About Amazon
Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.