BI (Analytics) Engineer
AI summary of the role
Bridge analytics engineering, BI, and data analysis by owning data modeling and pipelines for downstream data products at a Series C healthcare AI company.
What you’ll do
- Own data modeling practice and deliver reporting, analytics, data models
- Scale data infrastructure for future ML/AI products
- Implement processes for data collection/analysis with engineers
- Ensure accurate tooling and visualization platforms
What you’ll bring
- Bachelors in Math, Science, Engineering, or data-intensive field
- 4+ years in Data Science, Analytics, or Engineering at high-growth startup or scaled org
- Hands-on with Snowflake, BigQuery, or Redshift
- Strong SQL in complex environments
Technologies
Snowflake · BigQuery · Redshift · SQL · DBT · Metabase · Terraform · Python · GCP
About Candid Health
Revenue cycle automation platform for healthcare providers that combines rules-based billing, APIs, analytics, and optional services to increase touchless claims, collections, and cash flow.
Series C · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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. Candid Health is positioned to unlock transformative technology for healthcare providers and the BI Engineer will play a critical role in that effort. What You’ll Do 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
More from the job description
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. Candid Health is positioned to unlock transformative technology for healthcare providers and the BI Engineer will play a critical role in that effort. What You’ll Do 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 visualization platforms are accurate and available Who You Are You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Scien [... source excerpt omitted ...] n is $135,000 to $180,000 USD. The listed range is a guideline from Pave data, and the actual base salary may be modified based on factors including job-related skills, experience/qualifications, interview performance, market data, etc. Total compensation for this position may also include equity, sales incentives (for sales roles), and employee benefits. Given Candid Health’s funding and size, we heavily value the potential upside from equity in our compensation package. Further note that Candid Health has minimal hierarchy and titles, but has broad ranges of experience represented within roles
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