Senior Analytics Engineer - Health Care

📋 Description

• Design, build, and maintain complex data models supporting critical operational and reporting needs.
• Work with internal and external teams to implement data-driven solutions to improve care delivery
• Develop and implement data quality and integrity standards to ensure accurate and reliable data.
• Conduct data exploration and investigation to identify insights and patterns in healthcare and
• Develop and maintain data infrastructure, including data pipelines, databases, and data warehousing
• Develop, automate, and maintain reports and dashboards that provide clear, actionable insights to

🎯 Requirements

• 3+ years of experience working with data in an analytical, engineering, or business environment
• Strong working knowledge of SQL and experience with data warehouses such as Snowflake, BigQuery, or
• Proficiency in Python for data manipulation, scripting, and automation.
• Ability and interest in operationalizing new data and AI tools, with a focus on cloud-based
• Experience with developing or contributing to complex data models, particularly leveraging DBT.
• Experience working with healthcare or other regulated sensitive data such as banking, fintech

🎁 Benefits

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive.
• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD.
• Paid Time Off: Our paid time off policies ensure you have the chance to unwind and recharge.
• Work with Autonomy: Focus on results, not the clock.
• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects