Candid Health
Engineering
BI(Analytics)Engineer
Neural analysis suggests this role is
optimal for Mid candidates.
“BI (Analytics) Engineer at Candid Health. Skills: Analytics Engineering, Business Intelligence, Data Analysis, data modeling, pipelines. Build and deliver critical reporting, analytics, and data models for varying use cases. improve and scale our data infrastructure, enabling future ML and AI products”
What You'll Achieve.
enable our downstream data products; play a foundational role in scaling the data team; unlock transformative technology for healthcare providers; extrapolate data for meaningful outcomes; enable future ML and AI products
Industry & Context.
tackling complex tasks
What They're Looking For.
Must Have
Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science, 4+ years of experience working in a Data Science, Data Analytics, or Data Engineering at a high growth startup or scaled technical organization, experience working with data models, data pipelines and performing analysis, hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift, understanding of SQL and have used it in complex data environments
Nice to Have
Enthusiasm for data, well-developed opinions on modern data engineering and an ability to bring others up to speed, Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT
What You'll Do.
Build and deliver critical reporting
and data models for varying use cases
improve and scale our data infrastructure
enabling future ML and AI products
Deep dive with engineers to understand complex production data
Ensure that tooling and visualization platforms are accurate and available
How You'll Work.
Team & Collaboration
work closely with stakeholders across the business
Communication Scope
clear and concise; explaining complicated ideas in simple terms, both in-person and in writing
Full 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 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
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