Lead specialist

You will be responsible for designing and implementing NetSuite Analytics Warehouse (NSAW) and Oracle Fusion Analytics Warehouse (FAW) solutions tailored to meet specific business requirements. Your role will involve configuring and managing Oracle Analytics Cloud environments to ensure optimal performance and scalability. Additionally, you will work with Oracle Autonomous Data Warehouse to develop, optimize, and maintain data management and analytics solutions. Customization of NSAW and FAW will also be a part of your responsibilities. Collaboration with cross-functional teams to integrate various data sources with Oracle analytics platforms will be essential. You will lead the migration of data from legacy systems to Oracle solutions, focusing on data integrity and minimal disruption to business operations. Conducting training sessions and workshops for end-users on the utilization of Oracle analytics tools and dashboards will also be a key aspect of your role. Continuous assessment and enhancement of implemented solutions to leverage new Oracle features and technologies for improved analytics capabilities will be expected. Providing technical support and guidance on Oracle analytics best practices, performance tuning, and troubleshooting will also be part of your responsibilities. To qualify for this role, you should have a minimum of 5 years of experience in Oracle analytics implementations, with direct exposure to NetSuite Analytics Warehouse and Oracle Fusion Analytics Warehouse. A strong understanding of Oracle Analytics Cloud and Oracle Autonomous Data Warehouse is essential. Demonstrated expertise in designing and implementing complex data warehousing solutions, excellent problem-solving skills, and the ability to collaborate effectively in a team setting are required. Strong communication and interpersonal skills, along with the capability to communicate technical information to non-technical stakeholders, are also important. Preferred skills for this role include Oracle certification in Analytics, Data Warehousing, or related fields, proficiency in SQL, PL/SQL, and other relevant data manipulation languages, knowledge of additional BI tools and software, and familiarity with Sales and QTC dashboard.,