Information Technology - Data Analyst

Join our dynamic IT team as a Data Analyst, where you will play a pivotal role in shaping and managing enterprise data architecture for business transformation initiatives. This is your opportunity to drive impactful data solutions, ensure data governance, and influence the future of data management techniques in a collaborative, forward-thinking environment. You’ll be at the forefront of transforming legacy systems to enterprise models while working with diverse teams and stakeholders., Define, design, and implement robust data storage, integration, and management solutions across multiple IT systems and applications.

• Develop and maintain conceptual, logical, and physical data models, ensuring alignment with business goals.
• Architect ETL, reporting, and analytics solutions; optimize database and data source performance.
• Oversee data governance activities, including metadata registry management, data retention, and compliance.
• Track and analyze enterprise and legacy data models, ensuring accurate data mapping and transformation.
• Build and maintain comprehensive data catalogs and ensure data lineage transparency.
• Collaborate with records managers to ensure data retention and records management compliance.
• Facilitate a deep understanding of enterprise and business area data across teams.
• Support enterprise modernization by tracking inventory and usage of data throughout transformation projects.

Minimum 5 years’ experience as a Data Analyst in enterprise business transformation settings.

• Proven expertise in data governance, data modeling, and data architecture.
• Strong track record working within federated data governance teams.
• Proficiency in agile methodologies and cross-functional collaboration.
• Hands-on experience in data profiling, cataloging, lineage tracking, and analytics.

Preferred Skills

• Experience in data stewardship, compliance, and risk management.
• Demonstrated success in enterprise data modernization and inventory tracking.
• Deep understanding of data quality and oversight best practices.

Competitive compensation package.

• Opportunities for career advancement and professional growth.
• Collaborative work environment with access to cutting-edge data management tools.
• Exposure to large-scale enterprise transformation projects.
• Commitment to work-life balance and ongoing learning.