Note: The job is a remote job and is open to candidates in USA. Vero is a fast-scaling healthcare technology company focused on improving healthcare delivery and patient outcomes. They are seeking a Lead Analytics Engineer to shape trusted data products and ensure data quality across the business.

Responsibilities

• Lead the design and evolution of scalable data models powering analytics and business outcomes
• Own the transformation and semantic layer that converts raw operational and clinical data into trusted datasets
• Establish and drive data quality standards, validation frameworks, and governance practices across analytics products
• Build scalable, maintainable pipelines and transformation logic with long-term reliability in mind
• Partner closely with Engineering, Analytics, Product, and business stakeholders to align data solutions with business outcomes
• Improve observability, monitoring, testing, and confidence across data products and reporting layers
• Influence architecture direction and create sustainable foundations for future scale
• Bring structure and clarity to complex data challenges while balancing speed, quality, and maintainability

Skills

• Strong experience across Analytics Engineering, Data Modeling, or Data Platform Engineering environments
• Deep understanding of dimensional modeling, transformation design, and building trusted data products
• Experience establishing and operating data quality frameworks and controls
• Strong SQL skills and experience working with modern transformation tooling (dbt or similar)
• Experience building scalable cloud-native data solutions
• Strong understanding of data lifecycle, governance, testing, and observability practices
• Ability to operate across technical and non-technical stakeholder groups
• Pragmatic mindset with the ability to balance delivery timelines and long-term platform quality
• Strong communication skills and the ability to simplify complex data concepts
• Experience in healthcare or regulated environments
• Exposure to large-scale operational or clinical datasets
• Experience with modern cloud data platforms (Snowflake, BigQuery, Databricks, etc.)
• Background in platform thinking, reusable frameworks, or self-serve analytics enablement
• Experience introducing data reliability or observability practices at scale

Benefits

• Remote-first environment with strong flexibility

Company Overview

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