Business Intelligence Engineer

Employment Type: Full-Time

About AKASA

At AKASA, our mission is to build the future of healthcare with AI. As the preeminent provider of generative AI solutions for the healthcare revenue cycle, we are solving the biggest challenges facing our customers’ financial infrastructure. We have raised more than $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.

This is one of the most exciting times to join AKASA. Bookings for our new product suite have grown 10x since launching in Q3 of 2024, and we are just getting started. Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Stanford, Johns Hopkins, and Cleveland Clinic.

Some of our most recent recognitions include being named one of the fastest-growing GenAI startups to watch by AIM Research and an “AI Revenue Cycle Leader” by Black Book in 17 out of 18 categories. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.

Come join us - everyone is welcome. As an inclusive workplace, we are committed to building an environment where AKASAns are comfortable bringing their authentic selves to work.

About the Role

The Data Platform team at AKASA is a deeply cross-functional team, consisting of engineering, analytics, and data science roles. The team collaborates closely with most teams throughout the organization, including but not limited to; Product, Core Platform Engineering, Machine Learning, and Customer Engagement.

As a Business Intelligence Engineer at AKASA, your work will be highly visible and critical for communicating the value of our latest generative AI based product offerings. You will leverage your SQL skills to build out content in our metrics layer, create useful and visually appealing content in our BI tool, and have your work directly consumed by both internal and external stakeholders.

The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. For this role, we're looking for someone to join either our Bay Area team every Wednesday in the office or our NYC team for co-working days.

What You'll Do

• Further develop AKASA’s metrics layer by building SQL-based DBT pipelines running within the data warehouse (Redshift).
• Build and maintain dashboards in AKASA’s current BI tool (SuperSet), demonstrating thoughtfulness to how this content will be leveraged by stakeholders.
• Help support the underlying BI tooling infrastructure and become a key contributor to setting future BI strategy.
• Take on ad hoc exploratory data analytics requests.
• Develop a deep understanding of healthcare data and AKASA’s generative AI-based product offerings, ultimately becoming an expert in both.

Skills & Qualifications

• BS in Computer Science or similar.
• 3+ years of analytics, BI engineering, Data Engineering, or similar experience.
• Strong professional experience in SQL.
• Professional BI Tooling experience (Tableau/Looker/Quicksight/SuperSet, etc).
• Experience building out dashboards that clearly fulfill business needs.
• Ability to effectively communicate with both technical and non-technical stakeholders to translate their needs into data platform assets.
• A delivery-focused mindset.
• A passion and excitement about healthcare’s unique challenges and opportunities.

Nice to have

• Python
• Data Warehousing (Amazon Redshift preferably)
• DBT
• Healthcare Data (Revenue Cycle Management preferably)

What We Offer

• Unlimited paid time off (PTO)
• Expansive coverage for health, dental, and vision
• Employer contribution to Health Savings Accounts (HSA)
• Generous parental leave policy
• Full employee coverage for life insurance
• Company-paid holidays
• 401(K) plan

Compensation

Based on market data and other factors, the salary range for this position is $180,000 - $205,000 + Equity.

Location Type: [Not Specified] Salary: [Not Specified]