Copy of Staff Analytics Engineer

Bamboo Health is the leader in Real-Time Care Intelligence™ solutions aimed at improving lives for everyone experiencing physical and behavioral health challenges. They are seeking a Staff Analytics Engineer passionate about data to lead the design, development, and optimization of their analytics ecosystem, working closely with various teams to deliver scalable reporting solutions.

Responsibilities:

• Design, build, and optimize advanced Tableau dashboards, workbooks, and data products for high-performance analytics
• Define Tableau visualization standards, style guides, and reusable templates
• Design, optimize, and manage data pipelines essential for supporting reporting solutions
• Implement dashboard performance tuning, extract optimization, and best practices for Hyper
• Work closely with Product, Engineering, Data Engineering, and Business teams to understand requirements and deliver scalable solutions
• Conduct design reviews, code reviews, and architecture assessments to ensure high-quality deliverables
• Support a variety of business-aligned projects to meet organizational objectives
• Establish yourself as the go-to technical expert on the reporting components of our product suite
• Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing)
• Identify repetitive tasks and partner with team leads to implement scalable automation solutions

Requirements:

• 7+ years of professional experience in Analytics Engineering, Data Engineering, and related roles
• A bachelor's degree in a quantitative or technical field, such as mathematics, economics, computer science, or statistics, is required; an advanced degree is a plus
• Expert-level proficiency in Tableau (dashboard creation, data source optimization, calculations, performance tuning)
• Advanced SQL skills and hands-on experience with Amazon Redshift (or similar MPP databases)
• Experience with ETL/ELT development and data transformation workflows
• Experience with Python, dbt, or other ETL automation/orchestration tools
• Experience working in cloud-based data ecosystems, preferably with AWS
• Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions
• Strong communication skills, with experience influencing technical and non-technical stakeholders
• 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
• 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