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Bamboo Health

Staff Analytics Engineer

Reposted 9 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The Sr. Analytics Engineer will design and optimize analytics solutions, developing Tableau dashboards and managing data pipelines while fostering cross-functional collaboration.
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Bamboo Health is the leader in Real-Time Care Intelligence™ solutions aimed at improving lives for everyone experiencing physical and behavioral health challenges. We are driven by our mission to empower clients to deliver seamless, high-quality and cost-effective care during pivotal moments to improve health outcomes. From coast to coast, Bamboo Health partners with all major retail pharmacy chains, 52 states and territories, 100% of the top 10 best hospitals, and more than half of the country’s largest health plans to improve more than 1 billion patient encounters annually. Join us in improving lives during pivotal care moments! 

 

Summary:

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!

 

What You’ll Do:

  • 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.

What Success Looks Like…

In 3 months…

  • Become familiar with our reporting offerings and key customer use cases.
  • Gain a strong understanding of our data pipeline and architecture. Start building strong, collaborative relationships with your peers on the Analytics team.
  • Identify at least one opportunity in your role to pilot or apply AI or automation (e.g., streamlining a task, summarizing data, generating content).

 

In 6 months…

  • Expand your scope of influence to include other cross-functional stakeholders, including—but not limited to—product, engineering, marketing, and other key business area functions.
  • Develop new reporting pipelines and capabilities that align with user needs.
  • Build strong, collaborative relationships with peers on the Analytics team.

 

In 12 months…

  • Establish yourself as the technical expert on reporting components of our product suite.
  • Collaborate across different business areas to deliver analytics that enhance decision-making and provide greater value to the company.
  • Provide insights and guidance on improving reporting and boosting efficiency.

What You Need:

  • 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.

What You Get:

  • 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. 

 

Belonging at Bamboo

 

We Care. #BambooHealthValuesCare

 

Every human being has the right to the best possible healthcare. Our Real-Time Care Intelligence solutions enable healthcare professionals to see and treat every individual as a whole person by providing the right information, at the right time – regardless of physical, behavioral or social barriers.  

 

We’re a great place to work because we care. We continually seek to learn about our differences and ensure the unique perspectives and contributions of all employees are welcome, valued and celebrated.  

 

Our commitment to making a positive impact starts by recognizing and leveraging our differences, building inclusive teams and cultivating a sense of belonging.

 

 

Bamboo Health is proud to provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

 

To protect our applicants from fraudulent recruitment activity, we recommend that all applicants verify the validity of an interview and hiring process by visiting our website www.bamboohealth.com. All valid job postings will be listed on our careers page. Bamboo Health does not conduct interviews via text and will not request sensitive information such as banking details during the application process.

 

#LI-Remote

Top Skills

Amazon Redshift
AWS
Dbt
Python
SQL
Tableau

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