Manager, Medical Economics & Analytics

Progyny•New York, NY

1d•Hybrid

About The Position

This role will primarily support the Operations team. Our team develops data, analytical insights, and tools that support Progyny’s internal operations and help drive an exceptional member and provider experience. In this role, you’ll partner closely with cross-functional teams, including Provider Network, Claims, Contact Center, and Member Experience, to deliver analyses and solutions that improve operational performance and inform strategic decision-making. You’ll also work closely with Data Engineering and IT partners to advance our analytics infrastructure, expand AI-enabled capabilities, and build scalable solutions that enable teams across the organization to make better data-driven decisions.

Requirements

Bachelor's degree with an analytical focus in healthcare, economics, finance, statistics, data analytics, or a related field.
5–7 years of relevant experience in healthcare, insurance, consulting, analytics, or a related field, including 1–3 years of people management experience.
Advanced SQL skills with demonstrated experience querying, transforming, and analyzing large and complex datasets (30M+ rows).
Experience working with modern data platforms and transformation tools such as AWS, dbt, Databricks, or similar technologies.
Proficiency with data visualization and business intelligence tools such as Tableau, Power BI, Looker, or similar platforms, with demonstrated experience developing effective dashboards and data products for business stakeholders.
Advanced analytical and problem-solving skills with the ability to translate ambiguous business questions and complex datasets into structured analyses, clear insights, and actionable recommendations.
Familiarity with healthcare and insurance terminology, provider networks, healthcare operations, and medical or pharmacy claims data.
Demonstrated experience leading, coaching, and developing analysts while establishing priorities, maintaining high standards for analytical quality, and creating an environment of continuous learning.
Experience working in modern analytics environments and IDEs (e.g., Visual Studio Code, Cursor, PyCharm, or similar) and using AI-enabled tools to accelerate analysis, development, or workflows.
Ability to partner effectively with Data Engineering and technical teams to define data requirements, improve analytical infrastructure, and develop scalable data and reporting solutions.
Excellent time and project management skills with the ability to prioritize competing requests, manage multiple initiatives simultaneously, and deliver high-quality work under tight deadlines.
Self-motivated and comfortable operating independently, navigating ambiguity, and taking ownership of analytical initiatives from problem definition through implementation.
Advanced written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical stakeholders, influence cross-functional partners, and communicate effectively with senior leadership.
Candidates must be based in the United States.
Progyny is unable to provide visa sponsorship for this position.
Candidates must be authorized to work in United States without the need for sponsorship, now or in the future.

Responsibilities

Become a subject matter expert (SME) in Progyny claims, utilization, provider network, operational, and financial data, translating complex datasets into actionable insights that improve business performance.
Lead, develop, and mentor a team of analysts responsible for delivering high-quality analyses, reporting, and analytical solutions to key operational stakeholders.
Build, maintain, and optimize scalable analyses, data models, dashboards, and reporting using SQL, Excel, and modern analytics and visualization tools.
Partner closely with cross-functional operational teams, including Provider Network, Claims, Contact Center, and Member Experience, to identify opportunities, evaluate performance, develop KPIs, and deliver insights that inform operational and strategic decision-making.
Partner with Data Engineering and other IT teams to help shape and advance Progyny’s analytics infrastructure and data strategy, including data models, pipelines, tooling, governance, and self-service analytics capabilities.
Identify opportunities to improve analytical workflows, automate manual processes, and drive cross-functional initiatives that increase operational efficiency and enable scalable, data-driven decision-making.

Benefits

Paid family and parental leave
Preconception, fertility and family building benefits (including egg freezing, IVF, and adoption support)
Family and pet care fund
Parents’ Employee Affiliation Group
Menopause and midlife care
Health, dental, vision and life insurance options for employees and family
Free in-person, virtual and text-based mental health and wellness support
Paid time off, including vacation, sick leave, personal days and summer flex time
Company equity
Bonus program
401(k) plan with company match
Access to on-demand legal and financial advice
Learning and development programs to help you grow professionally and a mentorship program
Company social events to include annual volunteer day and donation matching
Flex days (3 days a week in the office) and onsite meals and snacks for employees reporting into our NY office