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%