Candid Health is your source of truth for revenue cycle management—track claims end-to-end, automate fixes, unlock insights, and scale digital health payments. Backed by Y Combinator.
About the role
At Candid Health, we’re searching for an Analytics Engineer to bridge Analytics Engineering, Business Intelligence, and Data Analysis. As a key strategic investment for the company and product, you will be responsible for the data modeling and pipelines that enable our downstream data products. You will work closely with stakeholders across the business and play a foundational role in scaling the data team.
What they're looking for
- You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
- You have 4+ years of experience working in a Data Science, Data Analytics, or Data Engineering at a high growth startup or scaled technical organization
- You have experience working with data models, data pipelines and performing analysis
- You have hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
- Enthusiasm for data modeling, hopefully you have opinions on slow changing dimensions
- You have a strong understanding of SQL and have used it in complex data environments
More about this role
At Candid Health, we’re searching for an Analytics Engineer to bridge Analytics Engineering, Business Intelligence, and Data Analysis. As a key strategic investment for the company and product, you will be responsible for the data modeling and pipelines that enable our downstream data products. You will work closely with stakeholders across the business and play a foundational role in scaling the data team. Candid Health is positioned to unlock transformative technology for healthcare providers and the BI Engineer will play a critical role in that effort.
Own Data Modeling as a Practice: Build and deliver critical reporting, analytics, and data models for varying use cases. You will be the standardbearer for operational excellence in our efforts to extrapolate data for meaningful outcomes
Set the Foundation for Future Data Work: We have ambitious plans to leverage data as a key component to our long term product strategy. This role will improve and scale our data infrastructure, enabling future ML and AI products
Implement New Processes and Systems for Data Collection and Analysis: Deep dive with engineers to understand complex production data. Ensure that tooling and...
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