# Senior Health Data Consultant

**Company:** [Gradient AI](https://hotfix.jobs/companies/gradient-ai)
**Location:** Remote
**Role:** Data Analytics
**Experience:** 5+ years
**Skills:** Python, SQL, Excel, Statistics, Databricks
**Posted:** 2026-07-16

> Senior Health Data Consultant partners with clients and internal teams to drive adoption of AI-powered Group Health insurance products. Leads pricing consultations, interprets AI model risk outputs, performs analytics with SQL/Python/Excel, and translates insights into underwriting and pricing decisions. Requires 5+ years healthcare analytics experience and strong quantitative skills.

## Job Description

## Responsibilities
- Engage directly with clients to provide advanced analytical support.
- Lead pricing consultations for Group Health SAIL and Renewal products, helping clients interpret risk scores and model outputs.
- Partner internally with Client Services, Sales, Product, and Data Science to support clients across new sales and renewals.
- Analyze data using internal tools to evaluate pricing risk and provide recommendations.
- Dive deep into AI-generated outputs to explain what model outputs and risk indicators mean in practical underwriting and pricing strategies.
- Write and execute SQL and Python queries to analyze large datasets and evaluate submission performance.
- Build and refine advanced Excel models to stress-test pricing assumptions and validate model results.
- Clearly communicate complex mathematical and AI concepts to non-technical client stakeholders.
- Help quantify ROI and performance improvements tied to our AI products.

## Requirements
- 5+ years of experience in a healthcare analytics, population health, healthcare economics, or claims analysis role, with an actuarial perspective.
- Strong quantitative background in Statistics, Mathematics, Economics, Analytics, or a related field.
- Proficiency in Python and SQL required; advanced Excel skills required.
- Ability to interpret complex statistical outputs and clearly communicate insights to non-technical stakeholders.
- Analytical support for health insurance populations (e.g., renewal pricing, retention, trend management, or book-of-business optimization).
- Comfortable engaging directly with clients in a consultative capacity and presenting analytical findings.
- Proven experience building or refining pricing models, running data submissions, and validating model-driven results.

## Nice-to-Haves
- ASA certification.
- Exposure to modern data platforms such as Databricks.

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