SG

Data Analyst

Salary
$135K–$200K
USD per year
Moves you to
United States
Support
Visa sponsorshipRelocation support
Posted
Oct 3, 2026
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Looking for a Data Analyst to help enhance efficiency, product scalability, and operational decision-making. You will perform critical analysis and implement data-driven solutions that enable engineering, product, and leadership teams to deliver transformative software to healthcare providers.


Additional locations: New York, NY & Denver, CO


What You’ll Do

  • Perform critical data analysis for a broad range of stakeholders
  • Build analytics, dashboards, and visualizations for different use cases
  • Develop self-service solutions that improve internal efficiency and workflows
  • Build robust and scalable data models
  • Maintain BI and reporting platforms
  • Work with large-scale data environments and automate analytical processes
  • Partner with Engineering, Product, and Leadership teams to deliver actionable insights


What We’re Looking For

  • 4+ years of experience in data analysis, ETL, and data warehousing at scale
  • 3+ years of hands-on experience with Snowflake, BigQuery, or Redshift
  • Advanced SQL skills in complex, large-scale data environments
  • Experience with Python, dbt, and Terraform
  • Strong understanding of the GCP/BigQuery ecosystem
  • Bachelor’s degree in Math, Science, Engineering, or another data-intensive field
  • Strong ability to communicate complex data concepts to technical and non-technical stakeholders
  • Comfortable working in ambiguous, fast-paced environments
  • Experience building data products rather than only producing reports


Preferred / Relevant Experience

  • Data analytics or data science experience in a high-growth technology environment
  • Experience with Metabase
  • Experience building scalable data models and internal data products


Compensation:

$135,000 – $200,000 annually


Visa / Relocation:

Visa transfers may be supported, including OPT and H-1B transfers. Relocation assistance is available.


Experience Level:

4–8 years


Skills to add on LinkedIn:

  • Data Analysis
  • SQL
  • Python
  • BigQuery
  • Snowflake
  • dbt
  • Terraform
  • ETL
  • Data Warehousing
  • Data Analytics
  • GCP
  • Metabase
  • Business Intelligence

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