Analytics Engineer, Arine

• 2-4 years of experience in analytics engineering, business intelligence development, or data analysis roles
• Strong SQL skills with experience in data warehousing platforms, preferably Snowflake
• Experience with dbt or similar transformation frameworks for building data models and pipelines
• Proficiency with BI tools such as QuickSight, Tableau, Power BI, or similar visualization platforms
• Understanding of data modeling concepts including dimensional modeling, fact/dimension tables, and analytics layer design
• Experience with version control (Git) and collaborative development workflows
• Python programming skills for data processing, automation, and integration tasks
• Familiarity with cloud data platforms and AWS services, particularly those supporting analytics workloads
• Healthcare data exposure or strong interest in learning healthcare analytics, claims data, and clinical outcomes
• Strong analytical and problem-solving abilities with attention to data quality and validation
• Excellent communication skills and ability to translate technical concepts for non-technical stakeholders
• Technical Skills:
• Analytics Platforms: Snowflake, dbt, QuickSight, AWS analytics services Programming: SQL (advanced), Python, basic shell scripting Data Modeling: Dimensional modeling, fact/dimension design, metrics frameworks Development: Git, dbt testing frameworks, CI/CD for analytics workflows Healthcare Data: Claims data analysis, clinical outcomes, medication management metrics

Desirable

• The Analytics Engineer role will report to the Director of Data Services and work within the Analytics team alongside our data operations engineers
• This position offers an excellent opportunity to develop your analytics engineering skills while working within our medallion architecture to build data transformations that power business intelligence solutions
• You will collaborate closely with senior analytics engineers to translate business needs into technical specifications and deliver high-quality data products
• As an Analytics Engineer, you will work within the intermediate and marts layers of our data platform, building on the solid foundation provided by our data operations team's staging layer
• This role provides clear growth opportunities toward more senior analytics responsibilities while contributing to data-driven decision making across the organization
• Build and maintain dbt data models within our medallion architecture, transforming staging data into intermediate and mart layers for business consumption
• Develop dashboards and reports using QuickSight and other BI tools to present healthcare data in clear, actionable formats for stakeholders
• Collaborate with product teams and Customer Solutions Architects to understand requirements and translate business needs into data model specifications
• Write production-quality SQL transformations in Snowflake, following established patterns and best practices for data modeling
• Implement data validation and testing using dbt tests and other quality assurance frameworks to ensure data accuracy and completeness
• Support metric standardization by contributing to our single source of truth for organizational KPIs and healthcare outcome measurements
• Work closely with data operations engineers to optimize data flows from staging through marts layers and provide feedback on staging layer requirements
• Create technical documentation for data models, transformations, and analytics solutions to support team knowledge sharing
• Assist in user support and training for analytics tools and help stakeholders understand and effectively use data products
• Process and analyze healthcare datasets including claims data, clinical outcomes, and medication management metrics while maintaining HIPAA compliance