PLEASE NOTE: Candidates with less than 4 years of experience (not counting internship or contract work) need not apply. For candidates with prior startup experience, please note "(Startup)" in parentheses next to the company name. This will help speed up the resume review process. Candidates with only contract work will not be considered
About this role
- The Role
- At one of our health care start-up clients, 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
Role Requirements.
- Seniority
- 4 - 8 years of experience in data analysis, ETL, and data warehousing at scale
- Work experience
- Experience in data analytics/data science at a high-growth startup (e.g., Airbnb, Scale, etc.)
- 3+ years hands-on with Snowflake, BigQuery, or Redshift
- Education
- Bachelor's in Math, Science, Engineering, or data-intensive field
- Hard skills
- Advanced SQL in complex, large-scale data environments
- Experience with dbt, Python, and Terraform
- Experience with data warehouses (i.e., proficiency in GCP/BigQuery ecosystem)
- Soft skills
- Comfortable explaining complex data concepts clearly to non-technical stakeholders or to clients
- Salary
- $135K - $200K
- Equity
- Competitive equity
- Hybrid work policy
- 4 days per week in-office (San Francisco, New York, or Denver) with 1 day remote flexibility
- Visa Sponsorship Details
- Open to visa transfers (e.g. OPT, H1B transfers)
- Open to visa sponsorships (e.g. new H1B, TN)
Full-time position
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Data Analyst - Hybrid - San Francisco, CA
RS Global Services
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