Sr. Enterprise Data Analyst
Data Architecture & Delivery – Key Responsibilities
<\/h2> Drive end -to -end delivery of data initiatives <\/b> , executing highly complex data solutions while enforcing best practices across user stories, data analysis, architecture, modeling, design, development, and testing <\/b> .
<\/p><\/li>
Lead or contribute to the enterprise data architecture <\/b> , including design principles, data models, and mappings for transactional and analytical systems <\/b> supporting both strategic and operational needs.
<\/p><\/li>
Partner closely with business stakeholders to translate critical business problems <\/b> into scalable data and analytics solutions <\/b> .
<\/p><\/li>
Design data models and transformation logic <\/b> , collaborating with data engineers to implement and optimize data pipelines <\/b> .
<\/p><\/li>
Prototype data solutions to enable measurement and monitoring of key performance indicators (KPIs)<\/b> .
<\/p><\/li>
Engage with senior leadership to understand and address data requirements aligned to departmental objectives <\/b> .
<\/p><\/li>
Collaborate with product owners and managers on scope definition, dependencies, estimation, planning, scheduling, status reporting, and risk/issue management <\/b> .
<\/p><\/li>
Act as a subject matter expert <\/b> across multiple data domains.
<\/p><\/li>
Define and enforce enterprise -wide data quality standards <\/b> .
<\/p><\/li>
Enable self -service analytics <\/b> to help business users access accurate data quickly and efficiently.
<\/p><\/li>
Support data science and machine learning initiatives <\/b> by designing and delivering high -quality, well -structured datasets <\/b> .
<\/p><\/li>
Build and maintain strong relationships <\/b> with internal and external stakeholders.
<\/p><\/li><\/ul>
<\/div><\/span>
Drive end -to -end delivery of data initiatives <\/b> , executing highly complex data solutions while enforcing best practices across user stories, data analysis, architecture, modeling, design, development, and testing <\/b> .
<\/p><\/li>
Lead or contribute to the enterprise data architecture <\/b> , including design principles, data models, and mappings for transactional and analytical systems <\/b> supporting both strategic and operational needs.
<\/p><\/li>
Partner closely with business stakeholders to translate critical business problems <\/b> into scalable data and analytics solutions <\/b> .
<\/p><\/li>
Design data models and transformation logic <\/b> , collaborating with data engineers to implement and optimize data pipelines <\/b> .
<\/p><\/li>
Prototype data solutions to enable measurement and monitoring of key performance indicators (KPIs)<\/b> .
<\/p><\/li>
Engage with senior leadership to understand and address data requirements aligned to departmental objectives <\/b> .
<\/p><\/li>
Collaborate with product owners and managers on scope definition, dependencies, estimation, planning, scheduling, status reporting, and risk/issue management <\/b> .
<\/p><\/li>
Act as a subject matter expert <\/b> across multiple data domains.
<\/p><\/li>
Define and enforce enterprise -wide data quality standards <\/b> .
<\/p><\/li>
Enable self -service analytics <\/b> to help business users access accurate data quickly and efficiently.
<\/p><\/li>
Support data science and machine learning initiatives <\/b> by designing and delivering high -quality, well -structured datasets <\/b> .
<\/p><\/li>
Build and maintain strong relationships <\/b> with internal and external stakeholders.
<\/p><\/li><\/ul>
<\/div><\/span>
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