EY Data Analytics Senior Consultant 

Luxembourg 

639186119

As a global leader in assurance, tax, transaction and consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities andfreedom to make things better.Whenever you join, however long you stay, theAnd with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2026 a reality.

• In line with our corporate culture , we support you in developing your potential by focusing on topics of diversity, opportunity equality, life balance, further training and internationality
• Gain experience- we want you to experience more at EY and for you to gain new insights within one of the leading audit and consulting companies.
• Foster your development- You will explore our exciting working environment, receive individual mentoring and benefit from getting to know the broad spectrum of our clients
• Building a Network

Within the technology consulting team at EY Luxembourg you will deliver transformative solutions to clients that are aligned to industry best practices and provide thought leadership in data space. You will use statistics, data mining, machine learning and deep learning techniques to deliver data driven insights for clients and you will gather models’ requirements, design experiments and analyses, query and manipulate data, build, and deploy predictive models, and interpret the outcomes for consumption by client leadership.

To qualify for the role, you must have

• A master’s degree or equivalent certification in Computer Science, Information Systems, Finance, or other appropriate academic majors
• Proven experience in managing data initiatives in Wealth & Asset Management sector
• Willing to learn and adapt new technologies and solutions as per market needs
• Minimum 3-4 years of relevant experience in below requirements:
  • Collaborate with cross-functional teams along the Asset Management Lifecycle to conceptualize, design, and implement strategic data solutions
  • Have experience in driving workshop in data requirements and organizing client workshop to drive solutions design etc
  • Identify opportunities for efficiency while maintaining resiliency in market data subscriptions, data feeds and usage
  • Experience in designing and driving the implementation of Enterprise Data Platforms
  • Experience of analytics - Azure Analysis Services / SQL Server Analysis Services - Multi-dimension Cube, Snowflakes
  • Experience of reporting - PowerBI / Tableau / Alteryx
  • Databricks leveraging infrastructure management workflows.
• Strong presentation and communication skills
• Fluent language skills in EnglishandFrench

Ideally, you’ll also have

• Any additional language skill will be considered as an asset