Lead Data Analyst

Collective Health•Plano, TX

3d•$110,000 - $171,875•Hybrid

About The Position

At Collective Health, we’re transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology, compassionate service, and world-class user experience design. As a Lead Data Analyst, you will be the primary technical lead for our most significant clients and a driving force behind our team’s data and analytics excellence. You will move beyond standard reporting to lead complex analyses, with AI first mentality serving as a trusted advisor to key stakeholders by translating healthcare claims data into clear, actionable narratives. This role is designed for a self-starter who thrives in high-pressure environments, capable of leading high-priority projects with tight turnaround times, who can navigate sophisticated data landscapes, lead by example, and deliver high-impact presentations that influence decision-making.

Requirements

At least 8 years of experience in healthcare analytics, with a specific emphasis on analyzing healthcare claims data, population health, and member experience.
Strong critical thinking skills and a resourceful approach to professional development.
Proven track record of mastering new data environments and complex healthcare schemas with minimal training.
Experience replacing manual hand-offs with automated triggers or self-serve tools.
Proven ability to look across a portfolio of requests and identify the underlying data commonality to maximize impact of every tool or dashboard built.
Deep understanding of the claims lifecycle and nuances involved with reporting logic.
Proven ability writing and optimizing SQL queries and experience building visualizations/models in Looker (or comparable tools like Tableau).
Experience working directly with health care claims and or member experience data at a payer provider, tech company, TPA, or Point Solution.
Proficiency in Agile tools like Jira for task management and Confluence for process documentation.
Ability to communicate technical issues effectively to non-technical stakeholders, and non-technical issues effectively to technical stakeholders.
Bachelor’s degree in Mathematics, Economics, Statistics, Computer Science, Business Administration or a related quantitative field (or equivalent professional experience).

Responsibilities

Own the end-to-end lifecycle of analytics for leadership and key stakeholders, ensuring high-impact reporting is delivered on schedule and strategically aligned with clinical and financial objectives.
Serve as the primary analytics lead for top-tier client requests, acting as a consultant to design solutions for complex healthcare business challenges and presenting these insights directly to key partners.
Establish and uphold standards for data integrity by leading peer code reviews, providing expert guidance on SQL optimization, complex logic validation, and adherence to rigorous data governance and compliance standards.
Oversee the reporting roadmap and project lifecycle via Jira and Confluence, ensuring transparent communication of project statuses, maintaining technical documentation, and proactively identifying risks to delivery timelines.
Act as the "voice of the data" for key stakeholders, translating dense healthcare findings into compelling narratives and high-level presentations.
Lead high-priority routine and ad-hoc analyses, including internal and external audits for clients, delivering insights in accelerated timeframes when required.
Identify bottlenecks in the data lifecycle and partner with Data Engineering and Data Architect to move to automated, scalable solutions.