Senior Analytics Engineer

6 hours ago

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Bamboo Health

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Healthcare Insurance • SaaS • Fintech

Bamboo Health is a company that provides Real-Time Care Intelligence™ solutions aimed at enabling healthcare professionals to make optimal decisions for better outcomes. These solutions are part of one of the largest care collaboration networks in the United States, transforming how healthcare organizations integrate care. Bamboo Health offers services such as care coordination, real-time notifications, risk reduction, and management for patient transitions, behavioral health, and prescription drug monitoring. Their solutions are widely used, impacting a billion patient encounters annually across hospitals, post-acute facilities, pharmacies, health plans, state governments, and various healthcare providers. They are committed to improving healthcare efficiency, reducing costs, and enhancing health outcomes through their extensive network and real-time data-driven insights.

501 - 1000 employees

⚕️ Healthcare Insurance

☁️ SaaS

💳 Fintech

📋 Description

• Architect, optimize, and maintain analytical data models and pipelines that power internal and customer-facing reporting solutions. • Collaborate across teams (Product, Engineering, Implementation, and Operations) to translate business needs into actionable data solutions. • Drive initiatives to automate and standardize reporting frameworks, improving scalability, accuracy and maintainability. • Create new dashboards and reporting capabilities that increase customer and user value. • Become the technical subject matter expert on reporting and data components to provide accurate insights to other team members and leadership. • Identify repetitive tasks and partner with team leads to implement scalable automation solutions. • Stay curious about emerging AI tools and how they can streamline or enhance work within your function.

🎯 Requirements

• Bachelor’s degree in a quantitative or technical discipline (e.g., Computer Science, Engineering, Mathematics, Statistics, Economics); advanced degree preferred. • 5+ years of experience in analytics engineering, data architecture, or data platform development. • Expert SQL skills and experience developing production-grade analytical data models. • Proficiency with modern data stack tools such as dbt, Starburst, GitHub, and Airflow. • Advanced knowledge of Tableau and experience designing responsive, user-facing dashboards. • Python proficiency for data transformation and workflow automation. • Strong understanding of data governance, performance optimization, and observability. • Proven success leading data initiatives and mentoring junior team members. • Comfort using or learning AI-supported tools (e.g., ChatGPT, CoPilot, or role-specific tools) to improve daily workflows. • A forward-thinking, curious mindset with an openness to experimenting with new technologies. • Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions. • Proven ability to thrive in fast-paced, high-growth, and rapidly evolving environments. • Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions. • The ability to travel periodically for work.

🏖️ Benefits

• Competitive compensation, including health, dental, vision and other benefits