Consulting - Data Analyst AI - Senior at EY
Luxembourg, , Luxembourg -
Full Time


Start Date

Immediate

Expiry Date

15 Oct, 25

Salary

0.0

Posted On

16 Jul, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

R, Programming Languages, French, Communication Skills, Sql, English, Computer Science, Python, Data Analysis

Industry

Information Technology/IT

Description

At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.

THE OPPORTUNITY

We are seeking a dynamic and experienced Senior Data Analyst / AI Consultant with a minimum of 5 years of professional experience. The ideal candidate will possess a strong background in data management, hold relevant certifications, and have a degree in Computer Science, Engineering, or a related field. This role requires proficiency in data governance tools such as Microsoft Purview, Collibra, and Informatica, as well as the ability to adapt to various technologies and client-specific solutions.

SKILLS AND ATTRIBUTES FOR SUCCESS

  • Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
  • Professional Experience: At least 5 years of experience in data analysis, AI consulting, or related fields.
  • Certifications: Relevant certifications in data management, AI, or specific tools such as Microsoft Purview, Collibra, or Informatica are highly desirable.
  • Experience in data governance platforms like Microsoft Purview, Collibra, and Informatica.
  • Experience in Microsoft Azure platform
  • Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders effectively.
  • Fluent in English and French (Spoken and written)

Ideally, you’ll also

  • Experience with data visualization tools and AI frameworks.
  • Proficiency in programming languages such as Python, R, or SQL.

What we look for
Adaptability: Demonstrated ability to learn and implement new technologies quickly, adapting to various client environments and industry-specific solutions.

Responsibilities
  • Data Management, Analysis, and Visualization: Lead the collection, organization, and analysis of data to extract meaningful insights and support data-driven decision-making processes.
  • AI Solution Development: Design, develop, and implement AI models and algorithms tailored to meet client needs, ensuring scalability and integration with existing systems.
  • Client Consultation: Engage with clients to understand their business objectives, provide expert advice on data strategies, and develop customized solutions that address their unique challenges.
  • Tool Implementation: Utilize and manage data governance and management tools, including but not limited to Microsoft Purview, Collibra, and Informatica, to ensure data quality, compliance, and accessibility.
  • Project Coordination: Participate in projects from inception to completion, coordinating with cross-functional teams to deliver solutions on time and within budget.
  • Continuous Learning: Stay abreast of emerging technologies and industry trends to continually enhance skills and apply innovative approaches to client solutions.
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