Data Analyst

Department
:
Information Technology,
Type: Full Time

Role
:
Data Analyst

Our Client is seeking an experienced Data Analyst to help enhance efficiency, product scalability, and data-driven operational decision-making. This role will perform critical data analysis and build data-driven solutions that enable engineering, product, leadership, and other internal teams to deliver transformative software solutions to healthcare providers.

The successful candidate will work with large-scale data environments, develop analytics and visualizations, build scalable data products, improve internal tooling and operational workflows, and help maintain the organization's business intelligence infrastructure. The ideal candidate combines strong technical data skills with a product-oriented mindset and the ability to communicate complex data concepts clearly to both technical and non-technical stakeholders.

Location:

San Francisco, CA;
New York, NY; or Denver, CO

Job Type: Full-Time

Work Setup:
Hybrid — 4 days per week in-office and 1 day remote

Compensation: $135,000 – $200,000 per year

Visa Sponsorship:
Open to visa transfers, including OPT and H-1B transfers; sponsorship and relocation assistance are available.

• Perform critical data analysis across a broad range of business, product, engineering, and operational use cases.
• Build analytics, dashboards, and visualizations that provide actionable insights to internal stakeholders.
• Deliver data-driven insights that support business strategy and operational decision-making.
• Develop internal data products and tools that improve team efficiency, self-service capabilities, and operational workflows.
• Build robust and scalable data models that support high-value data products and client needs.
• Work with large-scale datasets and complex data environments to identify trends, opportunities, and areas for improvement.
• Design and maintain data workflows, ETL processes, and process automation solutions.
• Own and support the implementation and ongoing maintenance of the BI platform.
• Maintain reporting and visualization platforms to ensure data remains accurate, accessible, and available.
• Collaborate closely with engineering, product, leadership, and other cross-functional stakeholders.
• Translate complex analytical findings into clear, actionable recommendations.
• Help identify opportunities to improve data accessibility, tooling, operational efficiency, and product scalability.
• Contribute to the development of scalable data solutions that support evolving business and customer requirements.
• Participate in continuous improvement of data processes, systems, and analytical capabilities.

• Bachelor's degree in Mathematics, Science, Engineering, or another data-intensive field of study.
• Minimum 4+ years of professional experience in data analysis, ETL, process automation, and data warehousing at scale.
• Minimum 3+ years of hands-on experience working with Snowflake, Big Query, or Redshift.
• Advanced SQL skills with experience working in complex, large-scale data environments.
• Experience performing data analysis and developing actionable insights for business and operational decision-making.
• Experience building and maintaining scalable data models and data products.
• Strong understanding of how different users consume and leverage data, with the ability to develop appropriate insights, tools, and solutions for their needs.
• Experience working with data warehouses and large-scale data environments.
• Experience with dbt, Python, and Terraform.
• Strong experience within the Google Cloud Platform / Big Query ecosystem.
• Ability to build analytics, reporting, and visualization solutions for a variety of stakeholders.
• Strong product-building mindset with the ability to develop solutions beyond basic reporting.
• Excellent written and verbal communication skills, with the ability to explain complex data concepts clearly to technical and non-technical stakeholders.
• Ability to work effectively in an ambiguous, fast-paced environment and independently tackle complex problems with significant business impact.

Experience or exposure with the broader data and technology ecosystem, including:

• Big Query
• Snowflake
• Redshift
• dbt
• Python
• Terraform
• Metabase
• ETL and data automation
• Business intelligence and data visualization platforms

• Experience working in a high-growth startup environment, particularly in a data analytics or data science capacity.
• Experience building data products and…