• Develop and implement solutions for managing, processing, and analyzing large volumes of data. • These solutions will support both the feeding of Data Science and Artificial Intelligence models and direct data analysis by business users. • To achieve this, you will work closely with Data Science and Analytics teams and with business users, supporting them in their analyses. • Solutions involve handling large datasets, integrating diverse data sources and/or processing high-velocity data, aiming to create competitive advantages for the Company through intensive use of data.

• Acts as a subject matter expert and thought leader within the Data Platform Domain • Serves as a thought leader in data processing design and implementation, defining advanced structure for moving, storing, and maintaining high-quality data. • Leads projects by managing timelines, coordinating teams, and communicating project statuses. • Serves as a subject matter expert on governance standards, continuously aligning data practices with evolving industry best practices and requirements • Contributes to defining the overall vision and strategy for data engineering within the organization, ensuring alignment with organizational goals and long-term objectives • Establishes visionary goals, advises on strategic plans, employs advanced monitoring, influences high-level stakeholders, and delivers transformative results • Expansion of our Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise • Configuring and maintaining unity catalog to enable enterprise data lineage, data quality, auditability and data stewardship • Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions • Always ensure a policy of least privilege is followed for anything being implemented • Building data solutions for clients while upholding the best standards for reliability, quality, and performance • Building solutions within Delta Live Tables and automation of transformations • Building out performant enterprise-level medallion architecture(s) • Building fit-for-purpose near real-time streaming and batch solutions • Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data • Building out Infrastructure as Code using Terraform and Asset Bundles • Working with the business to build cost effective and cost transparent Data solutions • Help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance • Identify and implement improvements to enhance data processing efficiency • Design and implement reliable and resilient Event Driven data processing • Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data • Assemble large, complex data sets that meet functional and non-functional business requirements • Develop and maintain data models, ensuring they align with business objectives and data privacy regulations • Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data • Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions. • Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices. • Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems • Gather requirements and build out project plans to implement those requirements with forecasted efforts to implement • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics. • Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. • Lead investigation of new tooling, development implementation plans, and deployment of necessary tooling

Role Description This internship is designed for someone who is detail-oriented, analytical, and interested in how data supports strategy, decision-making, and operational excellence. The Membership Data & Insights Intern will support the Membership team in maintaining and improving data quality within Salesforce, while also helping analyze membership trends and performance. This role is ideal for someone who enjoys working with data, identifying patterns, and improving systems. You will gain hands-on experience with CRM data management and learn how data drives engagement, retention, and strategic planning in a nonprofit environment. The skills you develop — including data management, analysis, and reporting — are highly transferable across operations, business analytics, and program management roles. This is an unpaid internship with a flexible schedule, lasting from May–December 2026. Candidates must be available a minimum of 16-20 hours per week over the summer. Availability during the fall semester is negotiable based on academic schedule and program needs. What You Will Do - Support data cleanup efforts in Salesforce, including updating, standardizing, and validating membership records - Assist in identifying and resolving duplicate, incomplete, or inconsistent data entries - Help maintain data integrity across membership records, contacts, and organizational profiles - Analyze membership data trends, including renewals, engagement, and application pipelines - Support reporting efforts to track key membership metrics and performance indicators - Assist in preparing data summaries and insights for internal stakeholders - Identify opportunities to improve data processes and system efficiency - Collaborate with team members to ensure alignment between data, reporting, and membership strategy - Gain exposure to how CRM systems support organizational decision-making - Participate in special projects and initiatives, with opportunities to take ownership of data-focused tasks Qualifications - Students currently enrolled in or recently graduated from an undergraduate program - Students interested in data analysis, business operations, nonprofit management, or information systems - Someone who enjoys working with data, systems, and problem-solving - Highly detail-oriented and organized with strong analytical thinking skills - Proficiency working with spreadsheets and interested in learning CRM systems like Salesforce - A self-starter who can work independently while collaborating with a team What You Will Gain - Hands-on experience with Salesforce and CRM data management - Exposure to membership operations and data-driven decision-making - Transferable skills in data analysis, reporting, and process improvement - Experience working with real organizational data and metrics - Practical understanding of how data supports strategy and member engagement - Mentorship from membership and operations professionals - Valuable experience for careers in analytics, operations, or nonprofit management Working Conditions This is a U.S.-based, fully remote, unpaid internship with a flexible structure and meaningful responsibility. Requires reliable internet access. Interns will participate in virtual meetings and collaborative work during standard business hours and will be supported through mentorship and regular check-ins. We expect the internship to last from June-December 2026 with flexibility to adjust start and end date based on student availability. Of note, a minimum of 16-20 hours per week are required during the summer. Availability during the fall semester is negotiable based on academic schedule and program needs. Equal Opportunity Statement NORD is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Design, implement, and maintain data pipelines for ingesting, storing, and processing large volumes of data in Microsoft Fabric • Implement and evolve ETL/ELT solutions and integrations across multiple People systems/sources, strengthening existing implementations • Develop and apply data quality and observability strategies within the Fabric ecosystem, ensuring accuracy and reliability of People metrics • Scale OneLake by defining layer standards, naming conventions, and a data strategy to support growth and maintenance • Manage the data lifecycle, ensuring integrity, traceability, and accessibility for consumption via Power BI, reports, and APIs • Implement and reinforce governance and security/LGPD practices, including RBAC, auditing, anonymization/masking, and special handling for sensitive data • Optimize performance and scalability, ensuring sustainable deliveries • Act as a Senior individual contributor with direct management responsibilities, raising team standards and participating in innovation and area-building initiatives