Vero
Lead Analytics Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Boston, MA, USA
Work mode:
Remote
Published on:
19 September 2026
What they need
We’re partnering with a fast-scaling healthcare technology company building modern infrastructure to improve healthcare delivery and patient outcomes at scale.
This role supports a major national health plan as it expands into a new Medicaid business line, building on an established Medicare Advantage analytics practice. You’ll own the Medicaid analytical build-out end-to-end - including the data model, pipeline, and visualization - while supporting and extending the broader reporting suite.
Working closely with the analytics team lead, you’ll be the day-to-day expert for the Medicaid workstream, understanding customer needs, prioritizing work, and communicating directly with stakeholders, driving better decisions and operational outcomes across healthcare products and services.
What's on offer
- Total compensation up to $185k
- Remote-first environment with strong flexibility
- Opportunity to own and shape a critical data domain at scale
- High-impact role within a mission-driven healthcare technology business
- Collaborative engineering culture investing in modern data platforms and engineering practices
What You'll Need To Have
- Experience with dbt or similar transformation tooling
- Strong SQL skills, comfortable working within complex, established data models
- Hands-on QuickSight or comparable BI experience, across both data and visualization
- Healthcare data experience, ideally claims/clinical data within Medicare Advantage or Medicaid
- Strong customer-facing and stakeholder management skills, with the confidence to own a key workstream
- Experience building new reporting or data solutions within an established analytics environment
- Organized, proactive, and comfortable managing priorities independently
Bonus
- 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
Sounds interesting? Please apply to find out more!
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