Data Analytics Engineer
dv01Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should have a Bachelor's degree in Math, Science, Engineering, or another data-intensive field. Experience in working with data models, data pipelines, and analysis is required. Hands-on experience with data warehouses such as Snowflake, BigQuery, or Redshift is essential. A strong understanding of SQL in complex data environments is necessary, along with enthusiasm for data modeling and modern data engineering practices. Candidates should thrive in ambiguity and possess excellent communication skills to explain complex ideas simply.
The BI (Analytics) Engineer will own data modeling as a practice by building and delivering critical reporting, analytics, and data models. They will set the foundation for future data work by improving and scaling the data infrastructure to support long-term product strategies. Additionally, they will implement new processes and systems for data collection and analysis while collaborating with engineers to ensure the accuracy and availability of tooling and visualization platforms.
Automated revenue cycle management platform for healthcare
Candid Health specializes in automated revenue cycle management for healthcare providers. Its platform identifies and resolves issues that impact revenue cycles, helping to optimize insurance collections. The platform is designed to integrate seamlessly with various healthcare infrastructures, whether custom-built or commercial. Clients pay a subscription fee for access to the platform, which allows them to streamline their billing processes and improve revenue collection rates. Candid Health differentiates itself by focusing on automation and ease of integration, making it a reliable choice for healthcare providers seeking efficient billing solutions. The company's goal is to enhance the financial performance of healthcare providers by simplifying and improving their revenue cycle management.