Associate Data Analyst

Responsibilities:

• Work within the AI and Data organization, focusing on the implementation of Gen AI use cases involving structured and unstructured data, and metadata.
• Learn and contribute to the definition and desired outcomes of Gen AI use cases.
• Identify data sources to enable Gen AI use cases, analyze metadata and governance practices.
• Apply data management techniques, including data quality, data governance, labeling / metatagging..
• Monitor and assess data quality, focusing on unstructured, multimodal data, and metadata.
• Develop skills in monitoring Gen AI use case outcomes for quality and bias, and suggest improvements.
• Build relationships with teams across business, technology, and data strategy domains.
• Support the development and maintenance of data governance frameworks, including data policies and standards.
• Participate in Communities of Practice to share ideas and promote a culture of treating data as a valuable asset.
• Stay informed about emerging industry trends and technologies in data management.

 Experience:

• Recent graduate with a Bachelor’s degree in a science, engineering, or a related field.
• A foundational understanding of AI/ML, analytics, and data science.
• Basic knowledge of data governance and its role in data management.
• Interest in learning Data Management and governance, and DevOps practices, especially in automating data processes.
• Strong communication skills and ability to work collaboratively.
• Eagerness to learn and adapt in a fast-paced environment.

Key Skills:

• Data Visualization.
• Data Cleaning.
• Python.
• SQL.
• Machine Learning.
• Linear Algebra and Calculus 

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