Data Engineering and Analytics Support

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Data Engineering & Analytics Support

The Opportunity

As a Data Engineering & Analytics Support – Associate at EY, you will be part of the Data Strategy team, supporting the development, enhancement, and operation of data and analytics solutions for Clients & Industries (C&I) and select EY wide data assets. This role focuses on hands on delivery and support of data pipelines, analytics platforms, and AI enabled use cases. You will work closely with Supervising Associates and technical leads to help ensure reliable, scalable, and insight ready data that enables business teams to innovate and make informed decisions.

Key Responsibilities

• Support problem solving and solution delivery with a hands on, execution oriented mindset and curiosity about data.
• Assist in the build, maintenance, and enhancement of data pipelines that provide quality data for analytics, reporting, and machine learning use cases.
• Help extract and transform data from multiple EY tools using defined standards and reusable patterns.
• Support the configuration and maintenance of integration tools, databases, data warehouses, and analytical systems.
• Apply working knowledge of APIs and data sharing technologies to support data connectivity across platforms.
• Prepare and manage analysis ready datasets, including basic data transformations and metadata updates.
• Support the use of AI and Large Language Models to generate summaries, insights, and improve analytics workflows under guidance.
• Assist in maintaining data warehouses and data marts.
• Monitor data pipelines and connected systems, performing basic troubleshooting and issue resolution, escalating where required.
• Follow and apply data security, privacy, GDPR, and information security guidelines.
• Support analytics teams in translating data outputs into business friendly insights and reports.
• Build and maintain dashboards and visualizations to communicate analytical results.
• Assist in identifying data quality issues and optimization opportunities through structured analysis.
• Stay informed about emerging data, analytics, and AI technologies relevant to the team.

Skills and Attributes for Success

• Strong interest in data engineering, analytics, and AI enabled solutions.
• Solid technical foundation with the ability to execute defined tasks independently.
• Willingness to learn and adopt new tools, cloud platforms, and AI capabilities.
• Practical problem solving skills with attention to detail and data quality.
• Ability to work effectively within a team and collaborate with senior colleagues.
• Clear written and verbal communication skills, with the ability to explain technical topics simply.
• Adaptable, proactive, and collaborative mindset in a fast paced environment.

Technical Expertise

• Working knowledge of SQL and Python for data querying, transformation, and pipeline support.
• Hands on experience with data visualization tools such as Power BI (preferred), Tableau, or Spotfire.
• Exposure to cloud data platforms, particularly Microsoft Azure and Azure Data Factory.
• Familiarity with data integration, data modelling concepts, and basic performance considerations.
• Exposure to Alteryx is preferred but not mandatory.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.