Data Analyst, EDT Data Strategy & Marketing

Work Flexibility: Hybrid

What you will do:

• •Support development, documentation, and maintenance of enterprise data strategy artifacts, standards, and frameworks.
• •Research industry trends, tools, and leading practices in data management, governance, and analytics to inform strategic recommendations.
• •Assist with roadmap planning, milestone tracking, and reporting on data strategy initiatives.
• •Develop and maintain reference materials, playbooks, templates, and standards documentation for enterprise data practices.
• •Compile and analyze metrics that measure adoption, maturity, and value of enterprise data capabilities.
• •Partner with governance, engineering, delivery, and business teams to gather input and align on strategic priorities.
• •Support enablement and communication activities, including training materials, internal marketing content, and stakeholder updates.
• •Assist with evaluation of data platform, catalog, and data management tooling to support capability decisions.
• •Support responsible use of AI tools, including Microsoft Copilot, to accelerate research, analysis, and documentation.
• •Follow enterprise governance, security, privacy, and quality expectations for assigned work.
• •Works effectively across teams and maintains a customer- and stakeholder-focused approach.

What you will need:

Required Qualification:

• •Bachelor’s degree in computer science, Information Systems, Analytics, or related discipline required.
• •1+ years of experience in data analysis, data strategy, data governance, analytics, or a related data discipline.
• •Experience researching, documenting, and communicating standards, processes, or recommendations.
• •Ability to analyze data and information, draw conclusions, and present findings clearly.
• •Familiarity with data management, governance, and analytics concepts and enterprise data platforms.
• •Strong attention to detail and ability to manage assigned tasks, deadlines, and follow-ups.

Preferred Skills / Tools:

• •Experience with SQL, data cataloging, or data governance and quality tooling preferred.
• •Exposure to modern data platforms (e.g., Databricks, cloud analytics) and metadata or catalog tools preferred.
• •Data management, governance, or analytics certification (e.g., DAMA/CDMP, cloud data fundamentals) preferred.

Travel Percentage: 10%