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Data Analyst

Skills

analyticsautomationbigqueryclouddata modelingdata sciencedata warehousingdbtetlpythonredshiftsnowflakesql

Description

About the company

Our client is a fast-growing healthcare technology company.

The role

Raydar is recruiting for this role on behalf of our client. Analyze business and operational data and maintain the reporting tools that help cross-functional groups make informed decisions. Pair hands-on analysis with data modeling and day-to-day ownership of the organization's business intelligence tooling.

What you'll do

- Carry out in-depth data analysis and create dashboards and visualizations for a wide range of internal stakeholders.

- Deliver self-service tools and improved workflows that help internal teams work more independently.

- Design robust, scalable data models that support external client needs.

- Maintain reporting and visualization platforms so that data stays accurate, accessible and available.

- Turn findings into clear insights that inform business strategy.

Requirements

What we're looking for

- A university degree in a quantitative or technical discipline.

- 4+ years of experience working with data at scale, including analysis, ETL and process automation.

- 3+ years of hands-on experience with a major cloud data warehouse such as Snowflake, BigQuery or Redshift.

- Advanced SQL skills in complex, large-scale data environments.

- A track record in analytics or data science within a fast-moving, early-stage technology company.

- Experience with dbt and Python.

- Understanding of how different users rely on data, and the ability to build the right insights and tools for them.

- Comfort with ambiguity and with taking on complex, high-impact work.

- Clear, concise communication of complex ideas to non-technical stakeholders and clients, in person and in writing.

Benefits

Compensation and benefits

- Base salary: USD 135,000 to 200,000 per year

- Equity

Location and work model

- San Francisco, CA, New York, NY, or Denver, CO, United States

- Hybrid: 4 days per week in office

- Full-time

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