Remote Analytics Engineer

Summary

Join InStride's growing Data Analytics team as an experienced Analytics Engineer to build and optimize dimensional data models in Databricks, collaborating with business leaders, analysts, and data engineers to design and implement robust, scalable data structures that support BI tools and deliver meaningful insights.

Requirements

• 5+ years of experience in data engineering or a highly technical analytics role, where you worked extensively with data modeling and business intelligence tools
• 5+ years of experience working in a fast-paced environment

Responsibilities

• Design, build, and optimize the gold layer in Databricks, creating dimensional models that support business reporting and analytics
• Ingest data from various sources, including non-application data sources, using SQL and Python to clean, transform, and load data
• Work closely with business leaders, analysts, and data engineers to understand data requirements, define key business metrics, and develop data models that meet the needs of various stakeholders
• Build and maintain data models and Tableau dashboards, enabling stakeholders to self-serve insights and make data-driven decisions
• Monitor and optimize ETL processes and data models for performance, ensuring timely access to key data sets and insights
• Maintain comprehensive documentation of data models, pipelines, and business rules. Use GitHub for version control and to back up all code, ensuring proper documentation, collaboration, and traceability
• Collaborate with data analysts and engineers to enable more advanced analytics use cases, such as predictive modeling or trend analysis

Benefits

• 2,800+ online certificate and degree programs through our Step Forward program
• 401(k) plan with company match
• Flexible vacation policy
• Paid family leave
• Best-in-class health care benefits