Data Analyst / AI - Senior Consultant

Role Overview:

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.

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.

Qualifications:

• 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.

Technical Proficiency:

• Experience in data governance platforms like Microsoft Purview, Collibra, and Informatica
• Experience in Microsoft Azure platform
• Proficiency in programming languages such as Python, R, or SQL
• Experience with data visualization tools and AI frameworks

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

Communication Skills:

• 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)

What’s in it for you

• Accelerate your technical capabilities and transformative leadership skills with future-focused courses and development programs.
• Broaden your horizons by working on highly integrated teams across the globe and collaborate with people of diverse backgrounds — both professionally and culturally.
• Bring out the best in yourself with continuous investment in your personal well-being and career development.
• Develop your own personal purpose and help us create a positive ripple effect on our teams, our business, clients and society – building a better working world, together.

What if your career could have a lasting impact on you, and on the world?

Here at EY, you’ll have the chance to build a truly exceptional experience. We’ll empower you with the latest technology, surround you with high-performing teams, and provide the global scale and diverse and inclusive culture you need to discover your full potential. Through our coaching and training programs, you’ll develop the skillsets you need to stay relevant today and in the future – all while building a network of colleagues, mentors, and leaders who will be on the journey with you at EY and beyond.

The exceptional EY experience. It's yours to build. 

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.