Job
Description
As a Data Engineering & Analytics Support at EY, you will play a pivotal role in designing, managing, and optimizing 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. You will have the opportunity to solve problems with a rapid prototyping mindset and a curiosity about data, design, build, and maintain data pipelines, develop consistent methods to extract data from various EY tools, and translate it into insights. Key responsibilities: - Solve problems with a rapid prototyping mindset and a curiosity about data. - 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. - Translate data-driven insights into actionable decisions. - 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. Skills and attributes for success: - AI first mindset - agility for adopting new technologies and adopt AI for productivity and innovation. - 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. Technical Expertise: - Proficiency in SQL and Python for data manipulation and pipeline development. - Hands-on experience with dashboard and visualization tools (Power BI, Tableau, or Spotfire). - Knowledge of cloud platforms, especially Microsoft Azure and Azure Data Factory. - Familiarity with Alteryx (preferred but not mandatory). - Strong understanding of data modeling, data architecture, and performance tuning. Join EY and be a part of building a better working world, where diverse teams across 150 countries provide trust through assurance and help clients grow, transform, and operate, enabling long-term value creation for clients, people, and society. As a Data Engineering & Analytics Support at EY, you will play a pivotal role in designing, managing, and optimizing 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. You will have the opportunity to solve problems with a rapid prototyping mindset and a curiosity about data, design, build, and maintain data pipelines, develop consistent methods to extract data from various EY tools, and translate it into insights. Key responsibilities: - Solve problems with a rapid prototyping mindset and a curiosity about data. - 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
