About NSIPA:

Network Solutions IPA (NSIPA) is a leading New York–based Independent Practice Association with a diverse, multi-specialty provider network. The organization has grown to more than 600 physician members, serving over 100,000 patients across New York City, Nassau, Suffolk, and Westchester counties.

We are committed to helping independent providers succeed in the transition to value-based care.​

Through strategic partnerships, operational support, and robust payer relationships, NSIPA delivers the tools, resources, and expertise that allow practices to grow, perform, and succeed in today's complex healthcare landscape without sacrificing independence. ​ We achieve this by collaborating with payers to deliver Quality Incentive Programs, Shared Savings arrangements, and Risk-Based Contracts. Contracted with over 21+ Payers for over 600+ Providers.  

NSIPA provides a comprehensive suite of services, including credentialing and network operations, provider engagement, and contracting; care coordination and member outreach; and provider-and patient centered programs. As part of New York State's 1115 Medicaid Waiver, NSIPA plays a key role in identifying, screening, and addressing health-related social needs by connecting Medicaid members to community-based resources and care supports. These services are designed to strengthen provider efficiency, address health related social care needs, and advance value‑based care and population health opportunities. Recognized as one of New York's fastest‑growing IPAs, NSIPA supports improved clinical outcomes, enhanced provider performance, and cost savings for payers through its robust infrastructure and operational expertise.

We do not provide sponsorship

Position Overview:

As a Data Analyst Intern, you are early career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You support the delivery of analytics and reporting solutions that help internal team better understand their data and make informed decisions. You are comfortable working with structured datasets and are eager to deepen your experience in data modeling, visualization, and business analysis. You are curious, detail-oriented, and motivated to continuously improve your analytical skills.

This role also includes 1–2 hours per day handling operational tasks such as checks, claims processing, scanning, mailing, and supporting provider recruitment-related documentation.

Roles & Responsibilities:

·      Assist internal teams and analysts in understanding business questions and translating them into analytical requirements.

·      Analyze data to identify trends, patterns, and insights with guidance from team members.

·      Support the development and maintenance of dashboards and recurring reports to track key metrics and performance indicators.

·      Collaborate with analysts to understand business requirements and report on data such as care gaps, provider rosters, medical adherence, and membership, ensuring data quality, consistency, and accuracy.

·      Assist in identifying opportunities to improve reporting, data quality, and analytical workflows.

·      Create clear and informative visualizations and dashboards to help communicate data insights and support data-driven decision-making.

·      Review and organize payer correspondence (including mailed communications) related to claims, timely filing, and appeals, ensuring documents are accurately identified and routed to the appropriate payer or internal team.

·      Maintain organized records of incoming communications, supporting claim follow-ups and ensuring correspondence is handled with accuracy and attention to detail.

Skills & Competencies:

·      Exposure to Python, SQL, advanced Excel, and Python libraries such as Pandas

·      Foundational understanding of data analysis and basic data modeling concept

·      Strong analytical and problem-solving skills with attention to detail

·      Familiarity with data visualization or BI tools (Power BI or Tableau)

·      Ability to work collaboratively in cross functional environments

Required Qualifications:

·      Bachelor's or master's degree in data science, Analytics, Computer Science, Statistics, Healthcare Informatics, or a related field

• Strong analytical skills with the ability to collect, organize, and analyze data with attention to detail and accuracy
• Exposure to Python, SQL, and advanced Excel for data analysis
• Curiosity and willingness to ask questions and learn from data and business context
• Strong verbal and written communication skills with the ability to summarize analytical findings clearly
• Strong problem-solving ability and attention to detail

Why Join NSIPA?

·      Opportunity to gain hands-on experience in healthcare analytics and value-based care.

·      Exposure to real-world data and population health reporting.

·      Work alongside experienced analysts and healthcare professionals.

·      Visibility, growth, and the ability to build and scale performance programs.

Physical Demands:

The physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable qualified individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to stand; walk; sit for extended periods of time; use hands to finger, handle, or feel; make precisely coordinated movements of the fingers of one or both hands to grasp, manipulate, or utilize computer equipment; reach with hands and arms; and talk or hear. The employee must occasionally lift and/or move up to 20 pounds. Specific vision abilities required by this job include close vision, distance vision, ability to adjust focus and ability to match or detect differences between colors, including shades of color and brightness.

EEO Statement:

• NSIPA is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, age, national origin, disability, or veteran status.