Senior Analytics Engineer

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August 26

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Sword Health

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Healthcare Insurance • Artificial Intelligence • Wellness

Sword Health is a digital health company that combines artificial intelligence with clinical expertise to provide world-class care for muscle, joint, and pelvic health conditions. By offering digital physical therapy and AI-driven care, Sword helps individuals recover from physical ailments from the comfort of their own home, avoiding surgeries and reducing the need for medications. The company provides employers, health plans, and individuals with personalized treatment plans that are cost-effective and have proven outcomes in pain reduction and improved productivity. Sword Health is dedicated to expanding access to high-quality care and ensuring health equity across global communities.

201 - 500 employees

Founded 2015

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧘 Wellness

📋 Description

• Sword Health is on a mission to free two billion people from pain • At Sword Health, data is at the core of our mission to build a pain-free world • Design and maintain data pipelines, transforming raw data into clear, actionable insights using dbt and other tools • Build and optimize LookML models in Looker to ensure efficient, scalable, and user-friendly reporting • Write high-performance SQL for development, operational efficiency, and cost optimization • Collaborate closely with Engineering and other teams to identify opportunities, propose solutions, and implement technical improvements • Use Git for version control, deployment, and collaborative development in an agile environment • Develop and maintain a semantic layer to improve AI functionality and enhance data accessibility • Ensure consistency of metrics across the model, avoiding multiple definitions and logics for the same KPI • Collaborate closely with Data Analysts and business stakeholders, ensuring that data models and definitions directly support decision-making needs and analytics workflows

🎯 Requirements

• Strong proficiency in SQL • Hands-on experience with dbt and BigQuery • Ability to develop LookML models in Looker • Proactive mindset to identify, propose, and implement technical and process improvements • Experience working in challenging and fast-paced business environments • Strong communication and collaboration skills • Solid understanding of Git for code versioning and collaboration • Experience with GCP or AWS data infrastructure • Hands-on experience with Airflow • Knowledge of data governance best practices • Working knowledge of Python • Experience with semantic layer design and implementation to enhance AI functionality

🏖️ Benefits

• Health, dental and vision insurance • Meal allowance • Equity shares • Remote work allowance • Flexible working hours • Work from home • Discretionary vacation • Snacks and beverages • English class • Stimulating, fast-paced environment with creativity • Career development and growth, with a competitive salary • Flexible environment with unlimited vacation • Access to health and well-being program (digital therapist sessions) • Remote or Hybrid work policy