Data Analyst

Candid Health; San Francisco (CA); On-site; USD 135,000 - 180,000; Full time

Job summary

Candid Health in San Francisco is seeking a Data Analyst to help scale analytics, improve operational decisions, and enable product and engineering teams. You will build analytics, dashboards, and data models, empower self-serve tools, and own the BI platform, delivering insights that drive strategic choices across the organization.

Ideal candidates have 4+ years of data analysis experience, strong SQL, experience with Snowflake/BigQuery/Redshift, and a passion for turning data into actionable

Qualifications

• Bachelor's degree in a data-intensive field.
• 4+ years of data analysis and ETL experience.
• 3+ years with Snowflake, BigQuery, or Redshift.
• Strong SQL skills for complex environments.
• Ability to translate data into actionable insights.

Responsibilities

• Perform data analysis for a broad range of stakeholders and build analytics and visualizations.
• Deliver internal products that improve tooling and workflows for teams.
• Build robust, scalable data models for Candid customers and internal use.
• Own the BI platform implementation and maintain accurate reporting and dashboards.

Skills

SQL proficiency

Data analysis

Communication

ETL

Python

Education

Bachelor's degree in data-intensive field

Tools

Snowflake

BigQuery

Redshift

Metabase

Terraform

DBT

Google Cloud Platform

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