Principal Data Analytics ETL Analyst

*We are unable to sponsor for this permanent Full time role**Position is bonus eligible*Prestigious Financial Company is currently seeking a Principal Data Analytics ETL Analyst. Candidate will be responsible for expanding the analytics capabilities by making data accessible and usable to analysts throughout the organization. In this role you will lead the design and build of our internal analytics data warehouse and the maintenance of the supporting extract, load, and transform processes. You will demonstrate and disseminate expertise in data sets and support teams across the organization in successfully harnessing this data. You will collaborate with business users and technical teams across the organization to facilitate data-driven decision making by enabling exploration and analysis of historical and near Real Time data access using cloud-based tools and technologies. Lastly, you will be responsible for gathering requirements and designing solutions that address the problem at hand while also anticipating yet-to-be-asked analytical questions and developing and maintaining our analytics platform to meet the company's security and IT standards.Responsibilities:Partner with Data Architecture and other relevant teams to design and implement new cloud data warehouse infrastructure for internal facing analyticsWork with various business and functional teams to understand their data and technical requirements and ensure delivered solutions address needsManage the validation of data models to ensure information is available in our analytics warehouse for downstream uses, such as ad hoc analysis and dashboard developmentMaintain performance requirements of our analytics warehouse by tuning warehouse optimizations and storage processesDirect 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 needsApprove documentation and testing to ensure data is accurate and easily understandablePromote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resourcesDiscover and share best practices for data and analytics engineering with members of the teamInvest in continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructureQualifications:[Required] 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[Required] Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output[Required] Comfortable supporting business analysts on high-priority projects[Required] High attention to detail and ability to think structurally about a solution[Required] Knowledge of and experience working with analytics/reporting technology and underlying databases[Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences[Required] Experience working within an agile environment=Technical Skills:Demonstrated proficiency in:[Required] Experience implementing and maintaining cloud-based data warehouses and curating a semantic layer that meets the needs of business stakeholders[Required] Knowledge of and experience working with various analytics/reporting technologies[Required] Strong presentation and communication skills, including ability to clearly explain deliverables/results to non-technical audiences[Required] Ability to complete work iteratively in an agile environment[Required] Proficiency in SQL[Preferred] Experience with Python and/or R[Preferred] Experience with visualization/reporting tools, such as Tableau[Preferred] Experience with ETL tools, such as AlteryxEducation and/or Experience:[Required] Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience[Preferred] Master's degree[Required] 10+ years of experience as a data engineer, analytics engineer, Business Intelligence analyst, or data scientistCertificates or Licenses:[Preferred] Cloud platform certification[Preferred] BI tool certification