Job summary
Job post source
This job is directly from AKASA
Job overview
The Business Intelligence Engineer at AKASA plays a critical role in developing and maintaining BI tools and data pipelines to communicate the value of AI-driven healthcare products, impacting internal and external stakeholders.
Responsibilities and impact
The role involves building SQL-based DBT pipelines, creating and maintaining dashboards in BI tools, supporting BI infrastructure, handling ad hoc data analytics requests, and developing expertise in healthcare data and AKASA's AI products.
Compensation and benefits
The salary range is $180,000 - $205,000 plus equity, with benefits including unlimited PTO, health/dental/vision coverage, HSA contributions, parental leave, life insurance, company holidays, and a 401(k) plan.
Experience and skills
Candidates should have a BS in Computer Science or similar, 3+ years in analytics or BI engineering, strong SQL and BI tool experience, dashboard creation skills, and effective communication abilities; Python, Redshift, DBT, and healthcare data experience are preferred.
Work environment and culture
AKASA values diversity and inclusion, fosters an authentic and supportive work environment, and has been certified as a Great Place to Work for five consecutive years.
Company information
AKASA is a leading AI healthcare company with over $205M in funding, serving major health systems, recognized for rapid growth and innovation in generative AI for healthcare revenue cycle management.
Team overview
The Data Platform team is cross-functional, including engineering, analytics, and data science, collaborating closely with various company teams like Product and Machine Learning.
Job location and travel
The role is based in South San Francisco with options for hybrid work in the Bay Area or NYC co-working days.
Unique job features
The position offers the opportunity to work on cutting-edge generative AI healthcare products and influence BI strategy within a fast-growing startup environment.
Company overview
AKASA is a healthcare technology company specializing in AI-driven solutions to automate administrative tasks within healthcare systems. Founded in 2018, it focuses on reducing operational inefficiencies by streamlining processes like billing, coding, and revenue cycle management, enabling healthcare providers to focus more on patient care. The company generates revenue through its subscription-based model, offering scalable automation tools tailored to the needs of hospitals and healthcare organizations. AKASA's innovative approach combines machine learning with human oversight, ensuring accuracy and adaptability in complex healthcare workflows. Its mission to modernize healthcare operations has positioned it as a key player in the industry’s digital transformation.
How to land this job
Tailor your resume to emphasize your expertise in SQL, BI tooling (especially SuperSet or similar platforms), and your experience building dashboards that meet business needs, as these are core to the Business Intelligence Engineer role at AKASA.
Highlight your ability to collaborate cross-functionally with engineering, analytics, and data science teams, and your capacity to communicate effectively with both technical and non-technical stakeholders to translate their needs into actionable data assets.
Apply through multiple channels including AKASA's official corporate careers page, LinkedIn, and other job boards where AKASA posts openings to maximize your visibility and chances of being noticed.
Connect with current AKASA employees in the Data Platform or Business Intelligence teams on LinkedIn; start conversations by referencing AKASA's recent AI innovations or expressing your enthusiasm about their healthcare AI mission to create meaningful ice breakers.
Optimize your resume for ATS by incorporating keywords from the job description such as 'SQL,' 'DBT,' 'Redshift,' 'BI tooling,' 'dashboard development,' and 'healthcare data,' ensuring your application passes automated screening effectively.
Use Jennie Johnson's Power Apply feature to automate tailoring your resume, applying through multiple job portals, and identifying LinkedIn contacts to network with, allowing you to focus your energy on interview preparation and skill development.
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