BI (Analytics) Engineer

Candid Health • Denver, CO

133d • $135,000 - $180,000

About The Position

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.

Requirements

• 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
• You have well-developed opinions on modern data engineering and an ability to bring others up to speed
• You thrive in ambiguity and enjoy tackling complex tasks that have significant impact on the business at large
• You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing.

Nice To Haves

• Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT.

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees