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.

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.

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

• 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.