Job Description

About us: Duet empowers Nurse Practitioners (NP) to tackle the primary care crisis by leading their own practices, closing the gap in access while keeping care local. We're a well-funded seed-stage company led by experienced entrepreneurs and Nurse Practitioners, and backed by investors like Kairos HQ and Lerer Hippeau.

We’re building a vertically integrated platform for NP-led practices to thrive as standalone businesses in a time of corporate consolidation. Think of workflows to engage patients, streamline administration, forecast business growth, and drive value-based outcomes while building community among NPs. These solutions sit on a foundation of data that we harness across patients and providers for the benefit of care and practice success.

About the role: As an Analytics Engineer at Duet, you will play a key role in shaping how we collect, transform, model, and leverage data to drive clinical and business outcomes. You will work cross-functionally with product, engineering, and clinical teams to build a modern data stack that supports everything from self-serve analytics to predictive modeling. This role blends strategic thinking, technical execution, and a strong sense of ownership — with the opportunity to build foundational systems that scale with our company.

Key Responsibilities:

• Design, implement, and optimize the end-to-end data infrastructure, including ELT pipelines, semantic layers, and analytics-ready datasets to support real-time and batch analytics.
• Develop and maintain scalable, well-documented data models in our cloud data warehouse to power reporting, analytics, and data science use cases.
• Partner with stakeholders across operations, product, and care delivery to understand data needs and translate them into robust, intuitive data products.
• Elevate our analytics capabilities by building trusted dashboards, reporting frameworks, and self-serve tools that enable data-driven decision-making across the organization.
• Lead data quality initiatives by implementing robust validation and monitoring frameworks to ensure the accuracy, consistency, and integrity of our data.
• Mentor junior team members and contribute to establishing data best practices, governance standards, and scalable analytics processes.

Qualifications:

• 5+ years of experience in analytics engineering, data engineering, or related roles, preferably in high-growth startups or healthcare environments.
• Advanced proficiency in SQL and data modeling (e.g., dbt); strong understanding of data warehousing principles and dimensional modeling.
• Experience with cloud data platforms (e.g., GCP, BigQuery) and modern data stack tools (e.g., dbt)
• Proficiency with data visualization and BI tools (e.g., Looker, Metabase) and a track record of building high-impact dashboards.
• Strong communication skills with the ability to partner across technical and non-technical teams, aligning data initiatives with business goals.
• Familiarity with healthcare data (EHRs, claims, clinical KPIs) is a strong plus.
• Experience with version control, testing frameworks, and CI/CD pipelines for data is a bonus.

Ideal Candidate:

• Strategic thinker who can translate ambiguous problems into structured data solutions.
• Passionate about building durable systems that support care delivery and community-building for Nurse Practitioners.
• Thrives in fast-paced, collaborative environments with a bias toward action and iteration.
• Committed to data integrity, scalability, and empowering others through high-quality analytics.

This role is on-site 3 days a week in New York.

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