Senior Data Analyst

Company Overview

Antidote Health is a tech-driven health insurance company on a mission to make healthcare easy, accessible, and more affordable. We’re rethinking how healthcare works—using technology to remove the friction, complexity, and delays that define the traditional system. Instead of navigating paperwork, long waits, and disconnected experiences, we’re building a simpler, more connected way for people to get care.

Our platform combines health coverage, virtual care, and a modern member experience into one seamless system designed to help people actually use their benefits.

We offer Affordable Care Act (ACA) health plans in Arizona and Ohio, and we’re growing quickly. We’re building a company focused on solving real problems—with real impact on people’s lives.

Position Overview

We are seeking a highly skilled Senior Data Analyst with strong experience in Python, SQL, and working within cloud environments - preferably Google Cloud Platform (GCP). The ideal candidate goes beyond standard reporting; they are a builder who is passionate about robust data modeling, infrastructure, and integrating modern AI workflows into analytical processes. In this role, you will play a hands-on role in data extraction and transformation, ensuring high data quality and a solid underlying architecture.

Key Responsibilities

• Driving core product and business analytics - defining KPIs, leading A/B testing, conducting behavioral segmentation, and building scalable dashboards to support decision-making.  

• Collaborating with cross-functional teams, you will derive actionable insights from complex datasets while leveraging hands-on AI implementations to enhance our data capabilities.

Qualifications

Required:

• Bachelor's degree in Computer Science, Information Systems, Statistics, Data Science, Biomedical Engineering, or a related field (Master’s degree is a plus).

• 5+ years of experience as a Data Analyst, with a strong foundation in core analytics (A/B testing, user segmentation, behavioral insights, and defining KPIs).

• Proficiency in Python and SQL, along with version control experience (Git).

• Data Architecture & Quality: Proven experience in data modeling and building data infrastructure (focusing on building the foundation, not just the final analysis).

• Cloud Experience: Experience working with cloud platforms (GCP strongly preferred).

• AI Implementation: Hands-on experience working with AI agents, implementing AI workflows, or context engineering (demonstrable experience beyond standard ChatGPT/Gemini prompt usage).

• Data Visualization: Proficiency with data visualization tools (e.g., Tableau, Looker) to build impactful dashboards.

Preferred:

• Experience with advanced Data Science methodologies (e.g., machine learning, predictive models, anomaly detection, regression, classification).

• Prior experience working with medical, healthcare, or insurance data.

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Equal Opportunity Statement

Antidote Health is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, age, disability, marital status, pregnancy, sexual orientation, gender identity, national origin, military reserve duty, or any other protected status under applicable law.