*Hybrid, 3 days onsite, 2 days remote*

*We are unable to sponsor as this is a permanent Full time role*

A prestigious company is looking for a Principal, Data Analytics Engineering. This principal will lead the design and build of internal data analytics, data warehouse, and maintain ETL processes. They will also manage the validation of data models to make sure the information is available in analytics warehouse.

Required: Financial industry experience, SQL, Python, Alteryx, Tableau.

Responsibilities:

• Partner with Data Architecture and other relevant teams to design and implement new cloud data warehouse infrastructure for internal facing analytics
• Manage the validation of data models to ensure information is available in our analytics warehouse for downstream uses, such as ad hoc analysis and dashboard development
• Maintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processes
• Direct and enable the team to collaborate with Data Governance team and DBAs to design access controls around our analytics warehouse to meet business and Data Governance needs
• Approve documentation and testing to ensure data is accurate and easily understandable
• Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources
• Discover and share best practices for data and analytics engineering with members of the team
• Invest in continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure

Qualifications:

• Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience
• 10+ years of experience as a data engineer, analytics engineer, Business Intelligence analyst, or data scientist
• Experience implementing and maintaining cloud-based data warehouses and curating a semantic layer that meets the needs of business stakeholders
• Proficiency in SQL
• Experience with Python and/or R
• Experience with visualization/reporting tools, such as Tableau
• Experience with ETL tools, such as Alteryx
• Ability to collaborate with multiple partners (eg, Business Functional areas, Data Platform, Platform Engineering, Security Services, Data Governance, Information Governance, etc.) to craft solutions that align business goals with internal security and development standards
• Knowledge of and experience working with analytics/reporting technology and underlying databases
• Experience working within an agile environment