Business Intelligence Developer

TARPON HEALTH SPA LLC
United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$80,000.0 - $120,000.0
Working hours
Regular working hours
Job source

Tech stack

Cerner Artificial Intelligence Amazon Web Services Data Analysis Microsoft Azure Big Data Data Infrastructure Extract Transform Load (ETL) Data Structures Data Visualization Python (Programming Language) Machine Learning
+12 more
Power BI Software Tools Cloud Services SQL Databases Tableau (Software) Scripting Git Build Management Information Technology Software Coding Looker Analytics Data Pipelines

Job description

As a Business Intelligence Developer at Tarpon Health, you will build the statistical models and data infrastructure that power our AI solutions. You will work with healthcare operations and revenue cycle data, turning raw and often messy datasets into clean, reliable inputs that our AI and machine learning systems can act on. Your work sits at the intersection of data science and applied AI, and it directly shapes the quality of the solutions we deliver to clients. This role suits analytical builders who are comfortable writing code, thinking carefully about data quality and methodology, and communicating findings to both technical and business audiences. You will work closely with software engineers, data scientists, and delivery teams to make sure the models and metrics you build hold up in production and in practice., * Design and build statistical models that feed AI and machine learning solutions for healthcare operations and revenue cycle use cases.

  • Write optimized queries and scripts in Python and SQL to extract, transform, and load data across complex datasets and systems.
  • Collaborate with engineers and data scientists to integrate models and data pipelines into the solutions we deliver to clients.
  • Define and document metrics, data definitions, and methodology so the team can build on your work with confidence.
  • Evaluate the accuracy and reliability of existing data assets and recommend improvements where needed.
  • Stay current on developments in data science, machine learning, and AI tools, and bring useful ideas back to the team.
  • Use AI tools such as Claude to accelerate analysis, generate code, and improve the efficiency of your workflow.

Requirements

Do you have experience in Statistics?, Do you have a Bachelor’s degree in statistics?, * 3+ years of experience in analytics, data science, or a closely related role.

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field, or equivalent practical experience.
  • Experience building statistical models and applying core machine learning concepts in a business or production context.
  • Hands-on experience with data visualization and business intelligence tools such as Power BI, Tableau, Looker, or similar.
  • Strong understanding of data structures, data modeling, and data quality principles.
  • Proficiency in Python for data analysis, scripting, and model development., * Background in data science, including formal training or applied project work in machine learning and statistical modeling.
  • Experience using AI tools such as Claude to support analysis and development work.
  • Familiarity with healthcare, revenue cycle, or EMR environments (for example, Epic, Cerner, or Athenahealth).
  • Experience with cloud data platforms such as AWS, Azure, or GCP.
  • Familiarity with version control using Git and collaborative development workflows.

Benefits & conditions

$80,000 - $120,000 per year

About the company

Tarpon Health is a healthcare automation company that helps providers optimize their operations through technology. We bring together healthcare providers with like-minded organizations to accelerate automation in the revenue cycle. Our community of experts and peers helps teams overcome expertise and capacity constraints to build automations that enhance efficiency, reduce costs, and improve patient experience.

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