Data Analyst, EDT Data Strategy & Marketing

Job description

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%