Subbarao Sannidhi

• Design and own right set of metrics measuring business performance
• Recommend improvements to business strategy using modelling and large datasets.
• Pilot and implement your recommendation in production through smart configurations in Amazon systems
• Develop analytics required to visualize opportunities and measure progresses
• Applying mining, quantitative analysis, and statistical models to understand how our customers interact with us and identify ways to improve customer experience and meet our goals
• Built scalable solutions and self-serve platforms that will provide insights to inform business decision making
• Optimizing performance of business-critical queries and dealing with ETL job-related issues
• Gathering and understanding data requirements, working with team to achieve high quality data ingestion and building systems that can process, transform, and store data in various relational and non-relational stores
• Dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) with engineering teams and drive constructive technical discussions. Extracting and combining data from various heterogeneous data sources
• Build and evaluate end-to-end designs for strengths and weaknesses (quality, scalability, latency, security, performance, data integrity, etc.). Correctly discerns concerning decisions that should prompt additional review

The Appstore operational team consists of more than 150 associates working on multiple processes to make we are providing the right set of apps to our appstore customers and same time we have to provide the supports to the developer who submits the app in to our platform

• As a queue lead will be plan apps and prioritize in effective manner without effecting business SLA
• Responsibilities: Creating best capacity plan for business by managing trade-offs between Customer
• Experience/Service Levels, Employee Experience, and Cost Effectiveness Continuously improve site productivity enhancing staff utilization by identifying flexibility opportunities and planning cross training and profile blending strategies Optimizing available staff, maintaining balance between achieving SLA’s and utilization across all teams Manage Site Workforce staffing information, including Headcount data, schedules, and cross skilling information across all teams Dive deep into data analyses of daily, weekly, and monthly reporting of site performance via Key Performance Indicators
• Root cause analysis and corrective action plan for variances in operational performance (WFM metrics)