Data Engineering and Analytics Specialist

As a Data Analytics Specialist at EY, you will play a pivotal role in designing, managing, and optimizing data infrastructure. You will be part of the Data Strategy team, contributing to the technological aspects of data infrastructure for Clients & Industries (C&I) and select EY-wide data. Your work will directly enable the business to innovate and stay ahead of the competition. **Key responsibilities:** - Translate data-driven insights into actionable decisions. - Solve problems with a rapid prototyping mindset and a curiosity about data. - Use data visualization to translate statistical models into business value. - Uncover hidden potential by pinpointing data optimization patterns. - Stay aware of new and emerging technologies in the marketplace. - Design, build, and maintain data pipelines to provide Machine Learning algorithms with quality data. - Develop consistent methods to extract data from various EY tools and translate it into insights. - Build, customize, and manage integration tools, databases, warehouses, and analytical systems. - Apply experience with APIs and Data sharing technologies to develop strategies for connecting and sharing data across platforms. - Manage data and metadata by transforming raw data to make it consumable for analysis and reporting. - Leverage experience with AI and Large Language Models to create summaries, insights, and optimize business processes. - Design and maintain data warehouses, including data lakes, data lake houses, and data marts. - Monitor and modify the performance and stability of connected systems as needed. - Ensure data security based on privacy, GDPR, and information security guidelines. **Skills and attributes for success:** - Technical knowledge and experience in data analytics and data engineering. - Passion for data science and related business transformation possibilities. - Ability to convert tactical and strategic challenges into practical opportunities. - Executive presence to interact with senior-level executives as a trusted advisor. - Strong relationship-building skills at all organizational levels. - Ability to identify and direct projects impacting stakeholders' focus. - Extensive understanding of EY processes, services, knowledge, infrastructure, technology, and resources. - Excellent operational efficiency, judgment, tact, and decision-making ability. - Strategic, proactive, creative, innovative, and collaborative mindset. - Adaptability and leadership in times of change. - Excellent written and verbal communication skills, with the ability to simplify complexity and tell compelling stories. - Strong project management skills, including leading workstreams across borders, sectors, functions, and service lines. - Ability to influence and coordinate across a multi-country, multicultural, and highly distributed organization. If you are passionate about data engineering and analytics, have a proven track record of delivering impactful solutions, and possess the skills and attributes listed above, we encourage you to apply and join our team. As a Data Analytics Specialist at EY, you will play a pivotal role in designing, managing, and optimizing data infrastructure. You will be part of the Data Strategy team, contributing to the technological aspects of data infrastructure for Clients & Industries (C&I) and select EY-wide data. Your work will directly enable the business to innovate and stay ahead of the competition. **Key responsibilities:** - Translate data-driven insights into actionable decisions. - Solve problems with a rapid prototyping mindset and a curiosity about data. - Use data visualization to translate statistical models into business value. - Uncover hidden potential by pinpointing data optimization patterns. - Stay aware of new and emerging technologies in the marketplace. - Design, build, and maintain data pipelines to provide Machine Learning algorithms with quality data. - Develop consistent methods to extract data from various EY tools and translate it into insights. - Build, customize, and manage integration tools, databases, warehouses, and analytical systems. - Apply experience with APIs and Data sharing technologies to develop strategies for connecting and sharing data across platforms. - Manage data and metadata by transforming raw data to make it consumable for analysis and reporting. - Leverage experience with AI and Large Language Models to create summaries, insights, and optimize business processes. - Design and maintain data warehouses, including data lakes, data lake houses, and data marts. - Monitor and modify the performance and stability of connected systems as needed. - Ensure data security based on privacy, GDPR, and information security guidelines. **Skills and attributes for success:** - Technical knowledge and experience in data analytics and data engineering. - Passion for data science and related business transformation possibilities. - Ability to convert tactical and strategic challenges into