... to extract, transform, and load data from various sources. Data Modelling: Ability to model data and design scalable data architectures. Cloud Data Storage: Expertise in building scalable and secure data warehouses and data lakes to store and manage ...
... in data analytics, data modelling, data integration and data visualization. Strong communication skills and stakeholders management. Strong knowledge and skills in data modelling tools and languages ... center; Friendly atmosphere, sports activities and ...
... 2 years of experience in data analytics, data modelling, data integration and data visualization. Hands-on experience with ... by the corporate career development center; Friendly atmosphere, sports activities and ...
... patterns, and inefficiencies in contact center operations through data analysis and recommend process improvements; ... with AI development teams, contact center operations, and business stakeholders to ensure that data insights align with business objectives ...
... the strategic direction of AI data initiatives, ensuring alignment with business ... performance, customer behavior, and contact center data to guide business decision-making; Provide data-driven recommendations to improve AI ...
... SQL Server Strong understanding of data governance, data quality, and data security principles Experience with Agile ...
... AI assistants within the contact center; Analyze key metrics such as ... assistant performance. Develop and present data-driven insights related to AI ...
... to ensure optimal database performance, data integrity, and scalability. Responsibilities: Design ... recovery strategies to ensure data availability. Conduct database security assessments ... field. Proficiency in SQL and data modeling. Proven experience as a ...
... SQL for database queriesExperience with data analysis tools such as Excel, ... identify trends and patterns in data and propose business solutions based ... Analytics, HubSpot, Salesforce)Understanding of data collection methodsAbility to clearly and ...
... version is concise and informative Data Annotation & Extraction: Collect and annotate data for machine learning datasets, ensuring data accuracy, classification, and extraction based ... the integrity and quality of data used for machine learning model ...