Data Analyst

with proven ability to work cross-functionally across many different stakeholders to create and deliver insights

who effectively shares information at the appropriate level across a wide variety of audiences

with a demonstrated track record of owning projects from idea to execution

who can turn complex analysis into actionable insights and recommendations for the business

3-5+ years’ experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry, with a solid understanding of the US based health insurance system.

Hands-on experience working with administrative healthcare data (medical and pharmacy claims)

Fully paid medical, dental, and vision benefits.

Flexible PTO

401k company contribution

Tuition reimbursement

Professional development allowance

Transportation allowance and daily parking reimbursement

This role is designed for an experienced, analytically sophisticated individual contributor who feels most at home in the space between data science and traditional BI analytics.

As a Data Analyst, you will partner closely with Data Scientists and cross-functional stakeholders to tackle complex, ambiguous analytical problems, focusing on the operationalization and maintenance of solutions.

You will contribute to analyses end-to-end, with a focus on long-term sustainability and enterprise-wide utilization of solutions.

This role is not focused on building predictive models or machine learning systems for production, and it does not include people management responsibilities.

Success in this role comes from analytic rigor, a deep interest in efficiency and standardization, and the ability to turn complex data into decisions.

You will report to the VP of Analytics.

At ParetoHealth, the Analytics team sits at the intersection of healthcare data, business strategy, and decision-making. We work with rich medical, pharmacy, stoploss, and business datasets to generate insights that directly influence product strategy, client outcomes, underwriting, and internal operations. The team partners closely with a varied set of stakeholders to move from questions to action, promoting data-driven decision making across the organization. We do this within a team culture of collaboration, shared responsibility, mutual respect, and growth.