Senior Business Intelligence Engineer
The Business Intelligence Department defines and implements the data strategy of the company. We are looking for people with experience in defining and implementing the relevant environment and systems for a cutting edge BI and data Science system.The BI team produces financial and market intelligence by querying data repositories and generating periodic reports. It gathers this data through a number of ways, from mining a company’s computer data through software, looking at competitor data and industry trends to help develop a picture of where the company stands in the industry, where they can improve and optimize. It also provides Marketing and Product teams with the relevant technology and insights for short, mid and long term planning Responsibilities:-          Define and implement the data strategy of the company-          Build roadmap and plan to identify what to do with a company’s data and to support accessing, sharing and managing the content.-          Determine packaging (files, transactions, data streams, etc.), content and formatting (values, formats, etc.) and package metadata details (location, origin, availability, changes, etc.).-          Decide the tools and technologies to be used for content storage, storage system (DBMS, flat files, cloud, Hadoop, etc.) and access method (API, Web services, applications, etc.).-          Define the movement and transformation of source data for use by downstream systems, including identification and matching; cleansing, standardization and acceptance of content; and metadata and data lineage details.-          Implement data governance methods and processes to cover information access policies, and to support data access and conflicts resolution.-          Establish high level Reporting framework.-          Develop ETL scripts (Clover and others).-          Data Warehouse design and maintenance (data preparation, data warehousing, reporting, analytics &amp; data exploration and information delivery).-          Statistical model generation.-          Work with all levels of development from data gathering, data analysis to the end implementation, solution deployment and support.-          Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.-          Meet with internal clients to gather requirements and data from multiple sources.-          Resolve end user reporting problems through collaboration with IT and Management.-          Qlikview server and user administration.-          Develop in other programming languages (Python, R, XML, Soap as needed).
Title: Senior Business Intelligence Engineer
Salary: None
Description: The Business Intelligence Department defines and implements the data strategy of the company. We are looking for people with experience in defining and implementing the relevant environment and systems for a cutting edge BI and data Science system.The BI team produces financial and market intelligence by querying data repositories and generating periodic reports. It gathers this data through a number of ways, from mining a company’s computer data through software, looking at competitor data and industry trends to help develop a picture of where the company stands in the industry, where they can improve and optimize. It also provides Marketing and Product teams with the relevant technology and insights for short, mid and long term planning Responsibilities:-          Define and implement the data strategy of the company-          Build roadmap and plan to identify what to do with a company’s data and to support accessing, sharing and managing the content.-          Determine packaging (files, transactions, data streams, etc.), content and formatting (values, formats, etc.) and package metadata details (location, origin, availability, changes, etc.).-          Decide the tools and technologies to be used for content storage, storage system (DBMS, flat files, cloud, Hadoop, etc.) and access method (API, Web services, applications, etc.).-          Define the movement and transformation of source data for use by downstream systems, including identification and matching; cleansing, standardization and acceptance of content; and metadata and data lineage details.-          Implement data governance methods and processes to cover information access policies, and to support data access and conflicts resolution.-          Establish high level Reporting framework.-          Develop ETL scripts (Clover and others).-          Data Warehouse design and maintenance (data preparation, data warehousing, reporting, analytics &amp; data exploration and information delivery).-          Statistical model generation.-          Work with all levels of development from data gathering, data analysis to the end implementation, solution deployment and support.-          Generate standard or custom reports summarizing business, financial, or economic data for review by executives, managers, clients, and other stakeholders.-          Meet with internal clients to gather requirements and data from multiple sources.-          Resolve end user reporting problems through collaboration with IT and Management.-          Qlikview server and user administration.-          Develop in other programming languages (Python, R, XML, Soap as needed).
Requirements: None experience, None education
Fraudulent: No