BI Engineer - Analytics

5 days ago

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote

💵 $135k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

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Candid Health

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Candid Health is an innovative company providing a comprehensive revenue cycle automation platform tailored for healthcare providers. The platform helps streamline, automate, and optimize the entire revenue cycle, enabling healthcare organizations to enhance insurance collection rates and minimize billing issues. Candid Health offers seamless integration through modern APIs and direct connections with existing infrastructure, allowing for real-time opportunities to be pinpointed and claim issues to be prevented before they occur. This solution is particularly beneficial for fast-growing digital health companies aiming to improve financial health.

11 - 50 employees

⚕️ Healthcare Insurance

💸 Finance

☁️ SaaS

💰 $150k Seed Round on 2020-03

📋 Description

•At Candid Health, we’re searching for our first BI (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.

🎯 Requirements

•You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science •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. •Experience or exposure with the broader set of technologies in our ecosystem: Google Cloud Platform (BigQuery), Metabase, Terraform, Python, DBT.