Associate Data Analyst

Responsibilities:

• 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.
• 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.

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 cleaning and preparation.
• Data analysis and exploration.
• Statistical knowledge.
• Creating data visualizations.
• Creating dashboards and reports.
• Writing and communication.
• Domain knowledge.
• Problem solving.