Copy of Staff Analytics Engineer
About the position
Bamboo Health is seeking a Staff Analytics Engineer passionate about data and is enthusiastic about creating user-facing data products. As a Staff Analytics Engineer, you will lead the design, development, and optimization of our analytics ecosystem. This position combines advanced data visualization, analytics enablement, and data engineering. You will work alongside the Visualization team, Data Engineering team, and internal stakeholders to develop reporting solutions powered by our unique data pipeline. Successful candidates will excel in creative problem-solving, cross-functional collaboration, and independent thinking on how to use data to address challenges faced by our customers. If you are a self-motivated individual eager to improve healthcare delivery and excel in a team-oriented setting, this is the role for you!
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.
Benefits
• Join one of the most innovative healthcare technology companies in the country.
• Enjoy the freedom to create something with a highly supportive team.
• Learn from working at the highest levels and on the company's most strategic priorities, including from world-class investors and advisors.
• Receive competitive compensation that includes health, dental, vision, and other benefits.
Apply tot his job
Apply To this Job
Bamboo Health is seeking a Staff Analytics Engineer passionate about data and is enthusiastic about creating user-facing data products. As a Staff Analytics Engineer, you will lead the design, development, and optimization of our analytics ecosystem. This position combines advanced data visualization, analytics enablement, and data engineering. You will work alongside the Visualization team, Data Engineering team, and internal stakeholders to develop reporting solutions powered by our unique data pipeline. Successful candidates will excel in creative problem-solving, cross-functional collaboration, and independent thinking on how to use data to address challenges faced by our customers. If you are a self-motivated individual eager to improve healthcare delivery and excel in a team-oriented setting, this is the role for you!
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.
Benefits
• Join one of the most innovative healthcare technology companies in the country.
• Enjoy the freedom to create something with a highly supportive team.
• Learn from working at the highest levels and on the company's most strategic priorities, including from world-class investors and advisors.
• Receive competitive compensation that includes health, dental, vision, and other benefits.
Apply tot his job
Apply To this Job