Chief Data Strategist

Há 15 horas


Salvador, Brasil Bebeedatastrategist Tempo inteiro

Data Strategy involves defining data requirements, collaborating with architects to integrate metadata layers and optimize technical strategies, designing and developing automation activities, managing datasets, and working with ETL and Data Warehouse solutions.Key skills include experience in Azure, Tableau, Power BI, DAX queries, SQL Server, Synaps, Python, Spark, SSIS, SSAS, Agile methodologies, and excellent communication.Key Responsibilities:Define data requirements and challenge themPartner with other architects to integrate metadata layers and optimize technical strategiesDesign and develop automation activities (versioning, release management, scheduling, security models)Manage datasets and work with ETL and Data Warehouse solutionsAnalyze current ETL processes and define new systemsWork with users and team members for performance improvement and suggestionsData Analysis plays a vital role in any organization as it helps make informed decisions by analyzing data from various sources.In this role, you will be responsible for gathering data, processing it, and turning it into actionable insights that drive business growth.We are looking for a highly skilled Chief Data Strategist to join our team and contribute to the development of our company's data strategy.This is a full-time position that requires strong analytical skills, excellent problem-solving abilities, and effective communication.As a Chief Data Strategist, you will have the opportunity to work closely with cross-functional teams, including data engineering, product management, and analytics, to drive business outcomes through data-driven decision making.Responsibilities:Develop and execute the company's data strategy to drive business growth and improve decision-makingCollaborate with stakeholders to identify key business challenges and opportunities for improvementLeverage data analysis and visualization tools to turn data into actionable insightsCommunicate complex data insights to non-technical stakeholdersIdentify areas for process improvements and implement changes to increase efficiency and productivity


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