Demand Planner Salary in Hyderabad - PayScale

DESCRIPTIONAmazon is seeking an outstanding Business Intelligence Engineer(BIE) to join Worldwide Capacity Planning Analytics Insights & Strategy team (WWCP AIS) . This rapidly-growing business within Amazon offers a creative, fast-paced, entrepreneurial work environmentAs a BIE, you will be play a key role in WWCP AIS by partnering with forecasters, supply planners, finance, technology and workflow teams to develop world class business intelligence solutions and forecasting systems. You will be working with small, strategically-focused team that partners with stakeholders WW to drive key business decisions by performing data analysis, designing and monitoring metrics. Key Responsibilities - Monitor existent metrics, analyzing data and partnering with internal teams to identify process, system improvement opportunities and come up with BI solutions - Take a proactive approach to defining new metrics, reports, and dashboards. - Drive business decisions by analyzing of demand and supply side metrics, designing and developing dashboards and reports - Extensive stakeholder management of data suppliers and data consumers worldwide who operate out of diverse geographies. Presentation of analysis to the senior leadership - Develop and improve data flow between multiple systems and provide self-service tools to the customers - Perform database management of the team, develop frameworks to process very large datasets - Support reporting modules, design and maintain data architecture for statistical research and development of planning systems. - Maintain data integrity and data quality of the team inputs and outputs. Perform validation and documentation - Participate in global capacity planning and customer service initiatives and project roll outs to cater to growing business needs Successful candidate will demonstrate: - Superior analytical ability and technical skills to come up with quick, innovative solutions - High attention to detail and proven ability to manage multiple, competing priorities simultaneously. - Superior verbal and written communications skills; particularly, the ability to deliver analysis in a clear and actionable format. - An ability to work in a fast-paced environment - A composed, poised and professional demeanor with a bias for action and ownership.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

DESCRIPTIONAmazon is seeking an outstanding Business Intelligence Engineer(BIE) to join Worldwide Capacity Planning Analytics Insights & Strategy team (WWCP AIS) . This rapidly-growing business within Amazon offers a creative, fast-paced, entrepreneurial work environmentAs a BIE, you will be play a key role in WWCP AIS by partnering with forecasters, supply planners, finance, technology and workflow teams to develop world class business intelligence solutions and forecasting systems. You will be working with small, strategically-focused team that partners with stakeholders WW to drive key business decisions by performing data analysis, designing and monitoring metrics. Key Responsibilities - Monitor existent metrics, analyzing data and partnering with internal teams to identify process, system improvement opportunities and come up with BI solutions - Take a proactive approach to defining new metrics, reports, and dashboards. - Drive business decisions by analyzing of demand and supply side metrics, designing and developing dashboards and reports - Extensive stakeholder management of data suppliers and data consumers worldwide who operate out of diverse geographies. Presentation of analysis to the senior leadership - Develop and improve data flow between multiple systems and provide self-service tools to the customers - Perform database management of the team, develop frameworks to process very large datasets - Support reporting modules, design and maintain data architecture for statistical research and development of planning systems. - Maintain data integrity and data quality of the team inputs and outputs. Perform validation and documentation - Participate in global capacity planning and customer service initiatives and project roll outs to cater to growing business needs Successful candidate will demonstrate: - Superior analytical ability and technical skills to come up with quick, innovative solutions - High attention to detail and proven ability to manage multiple, competing priorities simultaneously. - Superior verbal and written communications skills; particularly, the ability to deliver analysis in a clear and actionable format. - An ability to work in a fast-paced environment - A composed, poised and professional demeanor with a bias for action and ownership.We are open to hiring candidates to work out of one of the following locations:Hyderabad, TS, INDBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPREFERRED QUALIFICATIONS- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets