Sr. Enterprise Data Analyst

Data Architecture & Delivery – Key Responsibilities

• Drive end-to-end delivery of data initiatives , executing highly complex data solutions while enforcing best practices across user stories, data analysis, architecture, modeling, design, development, and testing .

• Lead or contribute to the enterprise data architecture , including design principles, data models, and mappings for transactional and analytical systems supporting both strategic and operational needs.

• Partner closely with business stakeholders to translate critical business problems into scalable data and analytics solutions .

• Design data models and transformation logic , collaborating with data engineers to implement and optimize data pipelines .

• Prototype data solutions to enable measurement and monitoring of key performance indicators (KPIs) .

• Engage with senior leadership to understand and address data requirements aligned to departmental objectives .

• Collaborate with product owners and managers on scope definition, dependencies, estimation, planning, scheduling, status reporting, and risk/issue management .

• Act as a subject matter expert across multiple data domains.

• Define and enforce enterprise-wide data quality standards .

• Enable self-service analytics to help business users access accurate data quickly and efficiently.

• Support data science and machine learning initiatives by designing and delivering high-quality, well-structured datasets .

• Build and maintain strong relationships with internal and external stakeholders.