Principal Analytics Engineer

As a Principal Lead Analytics Engineer, you will lead the development and implementation of processes to conduct analyses on data across all company domains, oversee the development and building of data products based on the analyses performed, and develop analytics data processes to drive improved strategic outcomes. This position will provide ongoing company and industry recognized subject matter expertise to support both new and existing processes related to the extraction, transformation, integration, processing, and analysis of datasets throughout the organization. The Principal Analytics Engineer will advise on and assist in the development and implementation of processes to ensure metadata and documentation of the analytics products and data sources utilized by the analytics engineering team are properly implemented and maintained in compliance with software engineering best practices.

What You Get to Do:

• Lead and advise on the development and enhancement of business intelligence and data visualizations, assuming ownership of advanced analytics solutions
• Serve as subject matter expert for analytics engineering processes, procedures, and best practices for the company and the wider industry.
• Employ advanced software engineering methodologies to elevate the quality and efficiency of analytics code, with a focus on driving process and performance improvements.
• Direct the design, deployment, and optimization of complex data models supporting diverse business use cases, advocating for improvements and upgrades to enterprise-level analytics engineering tools and applications.
• Lead the development and implementation of robust ELT/ETL pipelines for analytics engineering applications, collaborating closely with internal groups across the organization.
• Manage most projects for external analytics engineering support, ensuring the successful execution of initiatives.
• Drive the development and maintenance of Enterprise Data Model Roadmaps through active participation and extensive technical contribution, serving as the immediate subject matter expert for analytics engineering.
• Collaborate with the Data Governance team to establish and enforce data quality standards and metrics, recommending and advocating for improvements and upgrades.
• Provide strategic guidance to the Data Platform team to address enterprise data pipelines and curation requirements.
• Partner with cross-functional teams to leverage data in identifying opportunities and addressing business challenges, leveraging extensive technical skillset to meet analytics needs across the organization.
• Engage with organizational leaders to conceptualize, plan, and execute data-driven projects at scale, serving as a principal-level advisor in driving strategic outcomes.

What You Bring to the Table:

• Bachelor’sdegreedata science, analytics, engineering, or in related field of study from an accredited college or university; will consider a combination of experience and/or education.
• Ideally 10+ years of experience working directly in Data Engineering, Data Modeling, Analytics or Analytics Engineering.
• Expert knowledge and understanding of relational database systems.
• Experience integrating datasets from multiple sources using ETL, remote database connections, or dashboarding tools.
• Strong data visualization and storytelling skills.
• Solutions oriented mindset.
• Commitment to consistently adhere to policies and procedures and be a positive example for others by demonstrating the Company’s core values of Respect, Accountability, Innovation, Safety, and Excellence in completing work assignments.
• Self-motivated, have phenomenal work ethic and looking for the right company to support your growth.

Got Extra to Bring?

• Advanced Degree in computer or data science, analytics, engineering, or similar technical disciplinefrom an accredited college or university.
• Google Cloud Professional Certifications
• Alteryx Designer Core series
• TCP-SP7: Tibco Spotfire for Analytics Certification
• Other cloud platform certifications.