Forward Deployed BI Engineer

Medisolv Inc•Columbia, MD

About The Position

This role sits between our platform and the client, embedding directly with health plan and health system clients to understand their needs and build dashboards, reports, and analytics views on top of combined clinical quality and payer claims data. It is a client-facing role where you will interact with client analysts, quality leaders, and IT teams, translating requirements into BI deliverables and providing feedback to internal product and data teams. The role involves working with a recently combined organization that offers expertise in clinical quality measurement and a cloud-native Medicare Advantage Stars analytics platform, addressing client needs across both areas.

Requirements

10+ years of experience as a BI engineer
Strong client-facing skill set and genuine comfort working directly with external stakeholders
Demonstrated ability to collaborate across client teams and internal stakeholders simultaneously
Broad, hands-on knowledge of a wide range of BI tools, with the ability to pick up an unfamiliar one quickly
Strong SQL and query optimization skills
Strong healthcare experience
Ability to work from ambiguous or evolving requirements and drive them to a concrete deliverable
Proficiency using AI tooling to improve productivity and accelerate delivery
Expertise building solutions in leading BI platforms (Power BI, Metabase, Looker preferred)
Deep expertise using leading data warehousing solutions (Snowflake, Databricks, etc.)
Proficiency working with leading cloud providers (AWS, Azure, etc.)

Nice To Haves

Experience working specifically with health plans and health plan data types
Direct experience with Medicare Advantage Stars
Experience with HEDIS and other clinical quality measure data
Prior forward deployed, professional services, or solutions engineering experience
Experience turning bespoke client reporting into repeatable product features
Proficiency with Python or a similar scripting language

Responsibilities

Embed with clients to gather, challenge, and refine reporting and analytics requirements
Build dashboards, reports, and analytical views against health plan and clinical quality data
Work across whatever BI tooling the engagement calls for — ours and the client's
Write and optimize the queries behind those deliverables
Partner with internal data modeling, data acquisition, and product teams to get the underlying data right
Translate recurring client requests into productized reporting the whole client base can use
Present work directly to client stakeholders and manage feedback cycles through to sign-off
Use AI tooling to improve productivity and accelerate delivery