Business Intelligence Engineer at AKASA

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, AI, Revenue Cycle ManagementIndustries

Requirements

BS in Computer Science, Data Analytics, 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 reusable data platform assets
A delivery-focused mindset
A passion and excitement about healthcare (inferred from context)

Responsibilities

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
Establish ownership over the reporting and analytics content for at least one of AKASA’s core products
Take on ad hoc exploratory data analytics requests
Develop a deep understanding of healthcare data and AKASA’s core products, ultimately becoming an expert in both

Skills

Key technologies and capabilities for this role

Business IntelligenceData EngineeringSQLETLData WarehousingPythonTableauPower BI

Questions & Answers

Common questions about this position

What is the work arrangement for this Business Intelligence Engineer role?

The position is hybrid, requiring you to join either the Bay Area team every Wednesday in the office or the NYC team for co-working days. The AKASA office is located in South San Francisco, with a strong Bay Area presence across the company.

What skills are required for the Business Intelligence Engineer position?

Proficiency in SQL is essential, along with experience building SQL-based DBT pipelines for the metrics layer and creating visually appealing content in a BI tool.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the team structure like for this position?

The Data Platform team is deeply cross-functional, consisting of engineering, analytics, and data science roles, and collaborates closely with teams like Product, Core Platform Engineering, Machine Learning, and Customer Engagement.

What makes a strong candidate for this Business Intelligence Engineer role?

Strong candidates will have robust SQL expertise, experience with DBT pipelines and BI tools, and the ability to create high-impact, visible work for internal and external stakeholders in a fast-growing AI healthcare company.

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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