Consulting - Data Analyst AI - Senior

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.

Your key 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.

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.

What we offer you 

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Are you ready to shape your future with confidence? Apply today.

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EY  |  Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Our offer of employment is contingent upon the successful completion of a background check and pre-screening requirements. The candidate acknowledges that all information provided must be accurate.