Senior Analytics Engineer

Job Summary

The Senior Analytics Engineer is responsible for transforming complex data into trusted datasets, actionable insights, and executive-level dashboards that support strategic and operational decision-making. This role owns the end-to-end analytics lifecycle, including data engineering, pipeline development, data modeling, semantic layer design, and business intelligence solutions. The role partners closely with business and technical stakeholders to translate business requirements into reusable analytics products, self-service reporting solutions, and data-driven recommendations.

• Design and maintain data pipelines across Alteryx and Google Cloud Platform (GCP).
• Lead migration efforts to Big Query and support the modernization of analytics infrastructure.
• Develop scalable dimensional and medallion data models.
• Deliver production-grade Tableau and/or Power BI dashboards.
• Transform complex data into trusted datasets, actionable insights, and executive-level dashboards.
• Manage the end-to-end analytics lifecycle, including data engineering, pipeline development, data modeling, semantic layer design, and business intelligence solutions.
• Partner with business and technical stakeholders to translate business requirements into reusable analytics products.
• Develop self-service reporting solutions and data-driven recommendations.
• Ensure data quality and governance across analytics solutions.
• Create executive-ready insights and support strategic and operational decision-making.
• Drive adoption of scalable analytics solutions across the organization.

• 7+ years of experience in Analytics Engineering, Data Engineering, Business Intelligence, or related fields.
• Advanced experience with Alteryx Designer/Server and cloud-based analytics platforms, particularly GCP and Big Query.
• Strong expertise in SQL, Python, dimensional modeling, data warehousing, and analytics architecture.
• Extensive experience developing and governing Tableau and/or Power BI reporting solutions.
• Proven ability to communicate insights and recommendations to both technical and executive audiences.
• Experience with cloud migration initiatives, CI/CD practices, data governance, and analytics best practices.

• Experience migrating legacy ETL platforms to cloud-native architectures.
• Knowledge of Looker, data governance platforms, and predictive analytics techniques.
• Experience in regulated industries such as financial services or wealth management.

• Google Cloud, Tableau, or Microsoft Power BI certifications.