Senior Analytics Platform Engineer

Qventus is leading the transformation of healthcare through innovative solutions that harness machine learning and AI. The Senior Analytics Platform Engineer will own and advance the enterprise analytics platform, ensuring reliability and performance while collaborating with various teams to optimize analytics across Qventus solutions.

Responsibilities:

• Serve as a primary platform owner for Sigma, ensuring reliability, performance, secure configuration, and smooth day-to-day operation across multiple Qventus solutions
• Interact regularly with BI vendors, including Sigma, to understand their feature roadmap and how it will impact our ability to provide next-generation analytics to our customers
• Develop and maintain reusable Sigma assets, including templates, components, data models, and governance patterns, that allow analytics teams to build consistently and efficiently
• Partner with data engineering teams to ensure dbt pipelines and data models are optimized for downstream analytics consumption
• Create and implement standards for dashboard performance and integrity across the analytics platform
• Contribute to cross-solution deployment strategies to ensure analytics scale reliably and consistently
• Participate in the evaluation and support of AI-assisted analytics tooling, semantic layer technologies, and emerging self-service analytics platforms
• Prototype, test, and document new analytics features or AI-driven enhancements that could improve user experience, accelerate insights, or reduce manual effort
• Provide technical thought leadership on long-term platform evolution, architectural choices, and cross-tool integration
• Provide team leadership in ways that inspire and can help guide others on the team

Requirements:

• 8+ years experience as an engineer in a data role (data engineering, data platform, machine learning engineering, analytics engineering etc.) incl. familiarity with data modeling techniques (including dimensional and semantic) and tools (e.g., DBT, Databricks Unity Catalogue) and modern Data Warehouses (eg. Snowflake, Databricks)
• Experience optimizing datasets for BI tools, ideally in a dbt-centric environment
• Deep expertise in at least one modern BI tool - Sigma preferred
• Strong technical and product intuition, with an inclination toward scalable, maintainable solutions
• Comfort navigating complex, interrelated datasets and platform configurations
• Passion for operational excellence, documentation, and enabling others
• 3+ years of experience supporting platform BI tooling (Sigma preferred, but also Power BI, Tableau, Looker, etc)
• Exceptional communication and organizational skills, with a proven ability to lead conversations, coordinate cross-functional teams, and drive projects to completion by aligning stakeholders, managing timelines, and ensuring clear and actionable documentation of complex data assets and requirements
• Expertise in the healthcare domain and familiarity with domain data-specific challenges such as codes/terminology (e.g. CPT, ICD), compliance (HIPAA), and interoperability standards (e.g., HL7, FHIR)
• Experience working with data governance frameworks or tools to ensure compliance and consistency across data assets
• Proficiency with knowledge management systems (e.g., Notion) to organize documentation and foster team-wide transparency
• Prior experience evaluating or implementing AI-enabled analytics tools or LLM-powered self-service workflows
• Strong understanding of Git and version control practices
• Educational background in analytics, computer science, engineering, statistics, or a related field