Product Analytics Engineer (Product Data Engineer)

Gratia Health • Remote,

9h • Remote

About The Position

Gratia Health is seeking a self-motivated mid-level Product Analytics Engineer to manage their data landscape. This role involves embedding within the product and engineering team, focusing on product mechanics, tracking telemetry, maintaining dbt models in Snowflake, and transforming product data into actionable insights. The company has automated and lightweight ingestion pipelines, allowing the engineer to concentrate on higher-level data tasks rather than infrastructure.

Gratia Health is a venture-backed health technology startup focused on helping healthcare employers build healthy, sustainable workforces through its behavior change platform. They aim to develop and deploy data-informed programs using behavioral science to address workforce challenges for shift-based healthcare providers, enhancing provider compensation and satisfaction while delivering ROI for employers.

The engineering team is small, remote, and collaborative, emphasizing kindness, generosity, and autonomy. They follow Agile principles with a focus on delivering working software. Team members work directly with the business, end-users, and clients to build the best product. The Product Analytics Engineer will be self-guided but supported by a strong engineering team.

Requirements

• 2+ Years Experience: Background as an Analytics Engineer, Product Analyst, or Product Data Engineer.
• Strong SQL fluency.
• Experience writing and managing dbt models.
• Working knowledge of Snowflake.
• Hands-on experience working with event-based analytics tools (PostHog, Amplitude, or Mixpanel).
• Comfortable serving as the single data owner on an engineering team, taking initiative without needing dedicated data management.

Nice To Haves

• Strategic thinker who can balance immediate needs with long-term data architecture.
• Stays current with emerging data technologies and industry trends.
• Proactively identifies opportunities to improve data systems and processes.
• Identifies valuable data collection opportunities within our application that can drive business insights.
• Comfortable making technology decisions that will impact the company for years to come.
• Looks at the data and makes it say something.
• Partners with product, engineering, and leadership teams to understand data needs.
• Designs and implements data schemas and collection patterns that integrate seamlessly with our application.
• Collaborates with engineering team to ensure the application captures the right data in the right format.
• Advocates for data-driven decision making across the organization.
• Excellent remote communication skills, working effectively with a distributed team.

Responsibilities

• Own Product Telemetry: Partner with engineering to design, maintain, and audit PostHog event tracking across core product features.
• Maintain & Extend dbt Models: Manage transformation models in Snowflake via GitHub Actions, including business logic like user relevance scores synced back to production Postgres.
• Enable Self-Service & AI: Keep Metabase documentation updated and optimize data schemas to support team reporting and natural language queries via Claude MCP.
• Drive Product Insights: Analyze user behavior, feature adoption, and retention data to guide product and engineering decisions.
• Monitor Data Quality: Oversee Airbyte syncs (Twilio, Postgres, Posthog) to ensure warehouse data reliability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed