Analytics Engineer

Duet; New York (NY); On-site; USD 100,000 - 200,000; Full time

Job summary

An innovative company is seeking an Analytics Engineer to shape data strategies that drive clinical and business outcomes. This role offers the chance to design and optimize data infrastructure, develop scalable data models, and create impactful dashboards. Collaborating with cross-functional teams, you'll elevate analytics capabilities and mentor junior members. If you're passionate about data integrity and empowering others through analytics, this is the ideal opportunity to make a significant impact in a fast-paced environment.

Qualifications

• 5+ years in analytics engineering or related roles.
• Experience with cloud data platforms and data visualization tools.
• Strong communication skills for cross-functional collaboration.

Responsibilities

• Design and optimize data infrastructure for analytics.
• Develop scalable data models for reporting and analytics.
• Build dashboards and self-serve tools for data-driven decision-making.

Skills

SQL

Data Modeling

Data Visualization

Cloud Data Platforms

Communication Skills

Education

Bachelor's Degree in a Relevant Field

Tools

dbt

Looker

BigQuery

Job description

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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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

• Industries

  Hospitals and Health Care

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