Business Intelligence Engineer

South San Francisco, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare Technology, AI & Machine Learning, Data & AnalyticsIndustries

Requirements

The job requires a Bachelor's degree in Computer Science or a related field, along with 3+ years of experience in analytics, BI engineering, Data Engineering, or a similar role. Strong professional experience in SQL and proficiency with BI tooling such as Tableau, Looker, Quicksight, or SuperSet are essential. Experience building dashboards that meet business needs and effectively communicating with both technical and non-technical stakeholders is also needed. A delivery-focused mindset and passion for healthcare data are desired.

Responsibilities

As a Business Intelligence Engineer at AKASA, the role involves developing AKASA’s metrics layer by building SQL-based DBT pipelines within the data warehouse (Redshift), building and maintaining dashboards in AKASA’s BI tool (SuperSet), supporting the BI tooling infrastructure, taking on ad hoc exploratory data analytics requests, and developing a deep understanding of healthcare data and AKASA’s generative AI-based product offerings. The engineer will also contribute to setting future BI strategy and communicating insights to both internal and external stakeholders.

Skills

SQL

Data Visualization

BI Tools

Data Analytics

Data Modeling

AKASA

Automates revenue cycle management processes

About AKASA

AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$199.4MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Flexible vacation policy.

Generous coverage for health, dental, and vision insurance.

Free membership to One Medical for you and your family.

Health FSA account.

Full employee coverage for life insurance.

401K plan.

Risks

Generative AI adoption may increase competition, eroding AKASA's market share.

Healthcare's cautious approach may slow adoption of AKASA's new technologies.

Integration with existing EHR systems may pose implementation challenges for AKASA.

Differentiation

AKASA uses AI to automate complex revenue cycle tasks in healthcare.

Their solutions decrease A/R days by 13% and increase efficiency by 86%.

AKASA's tailored AI models outperform generic models like GPT-4 by up to 40%.

Upsides

AKASA's GenAI solutions reduce prior authorization time by up to 50%.

Over 70% of healthcare organizations are exploring generative AI for revenue cycle management.

AKASA's Medical Coding enhances efficiency and accuracy in the $23B medical coding field.

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