Sr. Enterprise Data Analyst
About The Position
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.
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
- 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
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What This Job Offers
Career Level
Mid Level
Education Level
No Education Listed
