Data Analyst
San Francisco · Denver · New York City · San Francisco, California, United States
- Pay
USD 135,000–180,000/year — pay source
Pay Transparency The estimated starting annual salary range for this position 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
Read the full posting- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Engineering — team source
Department: Engineering
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Do you now or in the future require a visa transfer or sponsorship for employment visa status? (e.g., H-1B, TN, E-3, F-1 visa status)
From the employer’s application form
What you’ll work on
Full postingBuild analytics and visualizations for different stakeholder needs
Build internal tools and workflows so teams can self-serve data
Build robust, scalable data models for Candid clients
Maintain BI reporting and visualization platforms so data stays accurate and available
From the employer’s posting
Build analytics, and visualizations for varying use cases
Deliver internal products that make our teams more more efficient and self reliant through improved tooling and operational workflows
Build robust, scalable data models for Candid clients
Maintain reporting and visualization platforms to keep data accurate, accessible, and available
What you’ll bring
All qualificationsCore experience
- 4+ years working with data at scale on analysis, ETL and process automation
- 3+ years hands-on with warehouses like Snowflake, BigQuery or Redshift
- Strong SQL skills, used in complex data environments
- Bachelor's degree in math, science, engineering or another data-intensive field
- Clear communicator who can explain complex ideas simply, in person and in writing
Qualification wording
You have 4+ years of experience working with data at scale, performing analysis, ETL, and process automation
You have 3+ years of hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
You have a strong understanding of SQL and have used it in complex data environments
You have Bachelors degree in Math, Science, Engineering, or another data intensive field of study such as Library Science
You’re a clear and concise communicator; you enjoy the challenge of explaining complicated ideas in simple terms, both in-person and in writing.
Education & alternatives
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 with data at scale, performing analysis, ETL, and process automation
Tools in this posting
- Python
- SQL
- BigQuery
- dbt
- Metabase
- Redshift
- Snowflake
- Terraform
- GCP
Source — Tool mentions in context
- 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. Pay Transparency
- You have 3+ years of hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift - You have a strong understanding of SQL and have used it in complex data environments - You have a deep understanding of how different users leverage data and are able to build the right insights and tools for them
- You have 4+ years of experience working with data at scale, performing analysis, ETL, and process automation - You have 3+ years of hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift - You have a strong understanding of SQL and have used it in complex data environments
Posting record
Report an errorOpen 3 monthsWe first saw this posting 98 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 24, 2026 · 98 days ago
- Recorded sightings
- 86
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Jul 22, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
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Job description
The Role
At Candid Health, we’re searching for a Data Analyst to help us enhance efficiency, product scalability and operational decision making. You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers.
What You’ll Do
Perform Critical Data Analysis for a Broad Range of Stakeholders: Build analytics, and visualizations for varying use cases. Play an influential role in delivering the insights that Candid Health uses to inform our business strategies
Enable Self Serve Solutions to Internal Teams: Deliver internal products that make our teams more more efficient and self reliant through improved tooling and operational workflows
Build High Value Data Products: Data Analysis is in the critical path of value for Candid Customers. Build robust, scalable data models for Candid clients.
Own BI Platform Implementation: Maintain reporting and visualization platforms to keep data accurate, accessible, 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 with data at scale, performing analysis, ETL, and process automation
You have 3+ years of hands on experience working with common data warehouses such as Snowflake, BigQuery, or Redshift
You have a strong understanding of SQL and have used it in complex data environments
You have a deep understanding of how different users leverage data and are able to build the right insights and tools for them
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.
Pay Transparency
The estimated starting annual salary range for this position 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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Transparency The estimated starting annual salary range for this position 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
- Location & working pattern
San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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