data analyst

data engineer

software engineer

data scientist

senior data engineer

data engineer intern

Cornspring

<div>
 
 Term
 
 : June - August 2026 (3 months, full-time)
 
 
 Permanent positions may be offered to selected candidates upon successful completion of their internship, subject to performance.
 
 
 
 About Us
 
 
 
 Cornspring is an innovative FinTech start-up with a mission to empower Family Offices and Asset Owners with real-time, AI-driven data intelligence and portfolio insights.
 
 
 We are tackling one of the most complex and valuable challenges in finance. Our clients operate at the highest levels of global markets, managing billions in assets, yet they remain constrained by legacy systems that are slow, fragmented, and outdated.
 
 
 Cornspring is redefining Family Office services by applying state-of-the-art generative AI and Large Language Models to investment, accounting, and operational data. Our platform delivers faster insights, greater transparency, and entirely new ways of interacting with financial information.
 
 
 
 
 The role
 
 
 
 
 We are looking for an enthusiastic and driven Data Engineer Intern to build and maintain ingestion pipelines and validation / reconciliation logic.
 
 
 If you like system thinking, performance, reliability, and debugging complex problems with strong engineering discipline, we would love to speak with you.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build efficient data pipelines for financial data flows whilst ensuring data and analytics are leveraged for future growth.
 </li>
 <li>
 Monitor data movement, transformation logic and performance of all pipelines as required to maintain data integrity and quality supplied to ML processes.
 </li>
 <li>
 Designing and implementing data solutions for new data and servicing initiatives and providing continuous oversight for existing solutions to maintain data accuracy, service quality and solution performance.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Educational Background and Professional Experience
 
 
 
 <ul>
 <li>
 Undergraduate (junior/senior preferred) or graduate students in Computer Science, Data Science, or a related field.
 </li>
 <li>
 Experience designing, building, and maintaining data pipelines for large-scale data solutions.
 
 
 </li>
 </ul>
 
 Core Technical Proficiencies
 
 
 
 <ul>
 <li>
 Proficiency in Python, pandas and data science libraries plus solid SQL skills for querying and manipulating large datasets. Experience with PostgreSQL is preferred.
 </li>
 <li>
 Ability to design scalable, secure data models and implement best practices for data storage and retrieval.
 </li>
 <li>
 Familiarity with AI for coding, machine learning applications and approaches to maintain high-quality, compliant data for AI-driven use cases. Experience with data unit testing is preferred.
 </li>
 <li>
 Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions.
 </li>
 <li>
 Experience with unstructured data processing is a plus.
 </li>
 <li>
 Experience with Azure cloud services is a plus.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Compensation: $20-30 per hour
 </li>
 <li>
 Hybrid working: three days per week in our Manhattan office.
 </li>
 <li>
 An opportunity to work at the forefront of AI-driven finance, tackling genuinely complex and high-impact challenges.
 </li>
 <li>
 Hands-on exposure to advanced ML, LLM, and data technologies within real production systems.
 </li>
 <li>
 A collaborative, high-ownership start-up environment offering exceptional learning opportunities.
 </li>
 <li>
 The chance to help shape the future of Family Office and Asset Management technology.
 </li>
 </ul>
</div>

Data Engineer Intern

<div>Term: June &ndash; August 2026 (3 months, full-time)
Permanent positions may be offered to selected candidates upon successful completion of their internship, subject to performance.
About us
Cornspring is an innovative FinTech start-up with a mission to empower Family Offices and Asset Owners with real-time, AI-driven data intelligence and portfolio insights.
We are tackling one of the most complex and valuable challenges in finance. Our clients operate at the highest levels of global markets, managing billions in assets, yet they remain constrained by legacy systems that are slow, fragmented, and outdated.
Cornspring is redefining Family Office services by applying state-of-the-art generative AI and Large Language Models to investment, accounting, and operational data. Our platform delivers faster insights, greater transparency, and entirely new ways of interacting with financial information.
The role
We are looking for an enthusiastic and driven Data Engineer Intern to build and maintain ingestion pipelines and validation / reconciliation logic.
If you like system thinking, performance, reliability, and debugging complex problems with strong engineering discipline, we would love to speak with you.
Key responsibilities
<ul><li>Build efficient data pipelines for financial data flows whilst ensuring data and analytics are leveraged for future growth.</li><li>
Monitor data movement, transformation logic and performance of all pipelines as required to maintain data integrity and quality supplied to ML processes.</li><li>
Designing and implementing data solutions for new data and servicing initiatives and providing continuous oversight for existing solutions to maintain data accuracy, service quality and solution performance.</li></ul> 

Requirements 
Educational Background and Professional Experience<ul><li>
Undergraduate (junior/senior preferred) or graduate students in Computer Science, Data Science, or a related field.</li><li>
Experience designing, building, and maintaining data pipelines for large-scale data solutions.
</li></ul>Core Technical Proficiencies<ul><li>
Proficiency in Python, pandas and data science libraries plus solid SQL skills for querying and manipulating large datasets. Experience with PostgreSQL is preferred.</li><li>
Ability to design scalable, secure data models and implement best practices for data storage and retrieval.</li><li>
Familiarity with AI for coding, machine learning applications and approaches to maintain high-quality, compliant data for AI-driven use cases. Experience with data unit testing is preferred.</li><li>
Good communication skills to collaborate with cross-functional teams - including data scientists, AI engineers, and business stakeholders - to deliver secure, high-performing data solutions.</li><li>
Experience with unstructured data processing is a plus.</li><li>
Experience with Azure cloud services is a plus.</li></ul> 

Benefits 
<ul><li>
Compensation: $20-30 per hour
</li><li>Hybrid working: three days per week in our Manhattan office.</li><li>
An opportunity to work at the forefront of AI-driven finance, tackling genuinely complex and high-impact challenges.</li><li>
Hands-on exposure to advanced ML, LLM, and data technologies within real production systems.</li><li>
A collaborative, high-ownership start-up environment offering exceptional learning opportunities.</li><li>
The chance to help shape the future of Family Office and Asset Management technology.</li></ul></div>

Kargo

<div>
 
 Who We Are
 
 
 
 Kargo creates powerful moments of connection between brands and consumers to build businesses. Every day, our 600+ employees work to radically raise the bar on what agentic AI, CTV, eCommerce, social, and mobile can do to deliver unique ad experiences across the world's most premium platforms. Taking a creative science approach to all we do, we continuously innovate solutions that outperform industry benchmarks and client expectations. Now 20+ years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland.
 
 
 
 Who We Hire
 
 
 
 Techies who want to build the future. Creatives who want to design it better. Communicators to win business. Collaborators to build it. Data pros who turn numbers into insights. Product builders who turn ideas into innovations. Anyone eager to be on a team that doesn't stop to ask what's next, because they're already building it.
 
 
 
 Mission
 
 
 
 We're looking for a hands-on Data Engineer Summer Intern to work with KDW engineers on building, testing and improving the data infrastructure that powers production analytics and reporting. This is a practical engineering internship &mdash; you'll contribute to real production pipelines, learn the team's engineering practices (PRs, DORA metrics, sprint rituals), and deliver measurable improvements under engineering mentorship.
 
 
 
 The summer internship program runs for 10 weeks from June 3 to August 9. All internship positions are paid. This will be a full-time internship with up to 40 hours a week from Monday through Friday with the expectation of 4x in the office.
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Develop and maintain data ingestion &amp; transformation pipelines (Python, SQL) for internal reporting and analytics.
 </li>
 <li>
 Work with the team to implement and test ETL/ELT jobs (Airflow, Spark/Snowflake or equivalent orchestration/compute).
 </li>
 <li>
 Troubleshoot and resolve pipeline failures, contribute to runbook/operational documentation.
 </li>
 <li>
 Support identity &amp; data-onboarding work (privacy-aware): help implement identity stitching and 1P data onboarding flows and integrations, and help operationalize privacy guardrails for targeting datasets.
 </li>
 <li>
 Author clear, reviewable code and follow PR labeling/commit practices to support team DORA metrics.
 </li>
 <li>
 Write and maintain Confluence design docs and Jira ticket updates for work you own or help implement.
 </li>
 <li>
 Partner with Analytics and downstream stakeholders (SalesOps, Product) to understand data needs, run validation, and deliver reliable datasets used for business decisions.
 </li>
 <li>
 Present a short end-of-internship demo/summary of your project and learnings to the Data team.
 
 
 </li>
 </ul>
 
 What You'll Learn
 
 
 
 <ul>
 <li>
 How to design, build, and maintain scalable data ingestion and transformation pipelines using Python and SQL for real-world analytics and reporting use cases.
 </li>
 <li>
 Hands-on experience implementing and testing ETL/ELT workflows with modern orchestration and compute tools (e.g., Airflow, Spark, Snowflake), including troubleshooting production pipeline issues.
 </li>
 <li>
 Best practices for writing clean, reviewable code, contributing to operational documentation, and supporting engineering excellence through structured PR and release processes.
 </li>
 <li>
 How identity stitching, first-party data onboarding, and privacy-aware data workflows work in practice&mdash;plus how to operationalize guardrails for responsible data usage.
 </li>
 <li>
 How to collaborate with Analytics, SalesOps, and Product stakeholders to translate business needs into reliable datasets&mdash;and confidently present your work to a technical audience.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Currently pursuing a BS/MS in Computer Science, Engineering, Data Science, or a related technical field.
 </li>
 <li>
 Strong SQL skills and comfort writing queries for data validation and exploration.
 </li>
 <li>
 Proficiency in Python and familiarity with software development basics (git, code review).
 </li>
 <li>
 Hands-on interest in data engineering topics: ETL/ELT, data modeling, data quality and pipelines.
 </li>
 <li>
 Clear written and verbal communication; comfort updating tickets and documenting work in Confluence / Jira.
 
 
 </li>
 </ul>
 
 Our Laurels
 
 
 
 <ul>
 <li>
 AdAge Best Places to Work
 </li>
 <li>
 ThinkLA Partner of the Year
 </li>
 <li>
 Built In Best Places to Work
 </li>
 <li>
 Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
 </li>
 <li>
 Martech Breakthrough Awards - Best Overall Adtech Company
 </li>
 <li>
 Digiday Media Awards Best Event
 </li>
 <li>
 Cynopsis Media Impact Awards-Best CTV Platform
 </li>
 <li>
 Martech Breakthrough Awards-CTV Innovation
 </li>
 <li>
 Adweek Media Plan of the Year Awards - Best Use of Insights
 
 
 </li>
 </ul>
 
 Follow Our Lead
 
 
 
 <ul>
 <li>
 Big Picture: kargo.com
 </li>
 <li>
 The Latest: Instagram (@kargomobile) and LinkedIn (Kargo)
 </li>
 </ul>
</div>

Intern, Data Engineer

Office of Management and Budget

<div>
 
 Job Description
 
 
 
 TASK FORCE: Policy and Operations Research
 
 
 UNIT: Data Analytics &amp; Management
 
 
 JOB TITLE: One (1) Summer Intern
 
 
 CONTROL CODE: POR Intern-26-03
 
 
 
 Summary
 
 
 
 The Mayor&rsquo;s Office of Management and Budget (OMB) is the City government's chief financial agency. OMB's staff of analysts and experts assembles and oversees the Mayor&rsquo;s expense and capital budgets, which fund the services and activities of approximately 90 City agencies and entities.
 
 
 Within the Management and Operations Division of OMB, the Policy and Operations Research Task Force is primarily responsible for analyzing fiscal and economic impacts of the City&rsquo;s policy initiatives and evaluating City agencies&rsquo; operations and programs, as well as conducting ad-hoc quantitative analysis. The Data &amp; Analytics Unit conducts data-intensive work to facilitate these tasks &amp; modernize data workflows for other task forces at the agency. Primary responsibilities of the unit include building and maintaining an automated cloud pipeline that can collect, process and reflect budget-related data. The team works with units across the agency to identify technological solutions to improve data collection, processing and visualization.
 
 
 
 Job Description
 
 
 
 The Data Analyst &amp; Engineer intern will analyze complex data and become proficient in collecting, cleaning, and visualizing data to identify patterns, trends, and correlations. Responsibilities will include assisting OMB staff in building a data pipeline and working with cloud computing frameworks and platforms. As part of this workstream, the intern will collaborate with teams across functional areas to automate processing of data within cloud computing platform. Additionally, the intern will assist with preprocessing of structured and unstructured data, present information using data visualization techniques, and perform quality assurance testing on datasets and coding files. and assist in developing actionable recommendations to ensure the financial sustainability of services
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Major in Computer Science, Computer Engineering or related fields.
 </li>
 <li>
 Proficiency in a popular data science programming language (Python, R, SQL etc.)
 </li>
 <li>
 Proficiency with a data visualization software like PowerBI, Tableau, or plotting libraries.
 </li>
 <li>
 Knowledge of database principles.
 </li>
 <li>
 Ability to communicate clearly in writing and verbally.
 </li>
 <li>
 A high capacity for independence, relationship-building, and creativity.
 </li>
 <li>
 The ability to manage multiple, often-competing priorities.
 </li>
 <li>
 Problem-solving attitude.
 </li>
 <li>
 Have a positive outlook for challenges and potential setbacks.
 </li>
 <li>
 Being flexible to work with the unknowns and deal with unexpected events.
 </li>
 <li>
 Receptive to feedback and having the patience to work on it.
 </li>
 <li>
 Ability to think critically and critique assumptions.
 </li>
 <li>
 Ability to communicate conflicts and disagreement in a timely and respectful manner.
 </li>
 <li>
 Interest in using automated scripting and modern data tools to clean data and create efficient data pipelines and workflows.
 </li>
 <li>
 Interest in and knowledge about NYC government and policy efforts.
 </li>
 <li>
 Educational or professional experience in this area is a plus.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 A cover letter is required to be considered for this position. Applications submitted without a cover letter will not be considered.
 
 
 Graduate interns must be currently enrolled or accepted into a graduate program. Candidates should have strong analytical, quantitative, research and communication skills. Additionally, candidates must be proficient in MS Word and Excel
 
 
 To participate in the OMB Summer Internship Program, graduate students must be currently enrolled or accepted into a graduate program.
 
 
 
 Compensation/Duration
 
 
 
 Summer Graduate Intern $20 per hour
 
 
 Internships will run for 10 weeks, from June 1, 2026, to August 7, 2026. The work must be done during the regular workday, 9:30 a.m. to 5:30 p.m. &ndash; no evenings or weekends.
 
 
 This is a hybrid position with in-person days located at OMB&rsquo;s offices at 255 Greenwich Street
 
 
 THE OFFICE OF MANAGEMENT AND BUDGET AND THE CITY OF NEW YORK ARE INCLUSIVE EQUAL OPPORTUNITY EMPLOYERS COMMITTED TO RECRUITING AND RETAINING A DIVERSE WORKFORCE AND PROVIDING A WORK ENVIRONMENT THAT IS FREE FROM DISCRIMINATION AND HARASSMENT BASED UPON ANY LEGALLY PROTECTED STATUS OR PROTECTED CHARACTERISTIC, INCLUDING BUT NOT LIMITED TO AN INDIVIDUAL'S SEX, RACE, COLOR, ETHNICITY, NATIONAL ORIGIN, AGE, RELIGION, DISABILITY, SEXUAL ORIENTATION, VETERAN STATUS, GENDER IDENTITY, OR PREGNANCY.
 
 
 SUMMER GRADUATE INTERN - 10232
 
 
 
 Qualifications
 
 
 
 Candidates must be currently enrolled in a graduate degree program in an accredited college, university or law school.
 
 
 
 Additional Information
 
 
 
 The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.
</div>

SUMMER GRADUATE INTERN - Data Analytics & Management

The Morgan Library & Museum

<div>The Morgan Library &amp; Museum welcomes applications for its 2026 paid summer internship program.
The program will provide an introduction to the variety of career opportunities available in museums
and special collection libraries. Each intern will be assigned to a department relevant to their interest
and work with departmental staff on timely topics in that area. Interns will also have the opportunity to
learn about the Morgan, and the museum and special collection fields more generally, through
professional development opportunities such as facility tours and meetings with museum leadership.
The Morgan especially seeks to provide opportunities to candidates with experiences and perspectives
that have not been adequately reflected in the museum and special collection libraries fields.
Internships are available in several areas. Please note that this application pertains only to the internship
described below, not to the program overall. Detailed application instructions are provided below.
 Position Description:
The Collection Information Department is looking for an intern interested in developing data skills by contributing to an ongoing project of inventorying and listing a large print collection. Working with items in hand, tasks include matching descriptive records to items in the collection, creating records in CORSAIR, the Morgan's collections database, and generating thumbnails for each print. The intern will learn about the data structure of the Morgan's collection descriptions, and, depending on skills, will be invited to contribute to designing user-friendly access to this large collection. Working under the supervision of the Director of Collection Information and instructed by members of the Department, the intern will participate in the day-to-day activities of collection information specialists and in the larger institutional life of the Morgan. The intern is also expected to contribute to any and all data projects that become a priority for the Department during the period of the internship.
 Eligibility:<ul><li>
 Current enrollment as an undergraduate or graduate student</li><li>
 Strong interest in a career in the museum or library field</li><li>
 Eligibility to work in the United States; international candidates must be eligible to participate in a paid internship program in the United States</li><li>
 Strong verbal and written communication skills</li></ul>
 Compensation: $19 per hour.
Summer internships are onsite at the Morgan, with interns generally working up to 28 hours per week for up to 12 weeks, beginning at the end of May and running through mid to late August. 
To Apply:
Interns will be selected on a competitive basis via an application process. The deadline to apply for an internship is April 12, 2026.<ul><li>
A cover letter describing your interest in the Collection Information Internship. The cover letter should also include a statement about your interest in the museum or library field, and your future aspirations</li><li>
 Any other information that you would like to provide regarding your candidacy for a Morgan summer internship</li><li>
Your resume</li><li>
The names and contact information of two references (please include the person&rsquo;s name, title, organization, telephone number, and email address)</li></ul>
Please note that applications received without all the requested information, including a cover letter, will not be considered. Candidates selected for interviews will be contacted before April 30, 2026, with notification of the decision following soon thereafter. No phone calls, please. 
About the Morgan Library &amp; Museum
A museum and independent research library located in the heart of New York City, the Morgan Library &amp;Museum began as the personal library of financier, collector, and cultural benefactor Pierpont Morgan. The Morgan offers visitors close encounters with great works of human accomplishment in a setting treasured for its intimate scale and historic significance. Its collection of manuscripts, rare books, music, drawings, and works of art comprise a unique and dynamic record of civilization, as well as an incomparable repository of ideas and of the creative process from 4000 BC to the present. Support for the Morgan Library &amp; Museum academic year Internship Program is provided by the Themis Brown Endowment Fund. 
EEO Statement
The Morgan is an Equal Opportunity Employer and is committed to complying with all federal, state, and local equal employment opportunity laws. The Morgan provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, marital status, military or veteran status, domestic violence victim status or any other basis prohibited by applicable federal, state, and/or local laws. 
The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of the employer.</div>

The Morgan Library & Museum 2026 - Collection Information Summer Internship

Fendi

<div>
 
 Position
 
 
 
 Intern, Supply Chain
 
 
 
 Overview
 
 
 
 Job responsibilities:
 
 
 The Supply Chain Planning Intern will assist the Senior Manager, Planning, in helping the demand and distribution team to react fast to the daily challenges of a supply chain environment. The intern will assist the Senior Manager, Planning, in managing stock allocation and identifying opportunities to improve sales performance and product categories by market for FENDI Americas to identify opportunities and drive business.
 
 
 
 FENDI is committed to ensuring that its Internship Program provides a robust experience with a combination of learning and programmatic elements.
 
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Support the daily Supply Chain activities around stock management: distribution planning, stock rebalancing and sell-through optimization.
 </li>
 <li>
 Support in reviewing historical sales trends, research demand drivers, prepare forecast data, develop statistical forecast models, and evaluate forecast results
 </li>
 <li>
 Support closely with the coordination and communication with planning and logistics team to secure additional inventory when demand exceeds the forecast; Experience in sales forecasting.
 </li>
 <li>
 Support the Senior Manager, Planning in optimizing sales and sell through for seasonal product by creating tools to analyze datasets in a centralized platform/dashboard.
 </li>
 <li>
 Support the Senior Manager, Planning in preparing presentations for senior leaders and business reviews
 </li>
 <li>
 Support in the allocation of merchandise to stores and E-Commerce according to launch plan, warehouse and store inventory levels.
 </li>
 <li>
 Run stock reports to ensure the visibility of deliveries. Build alerts to minimize the &ldquo;sleeping&rdquo; inventory and ensure a follow up to increase our deliveries rate in the season
 </li>
 <li>
 Support in coordinating merchandise transfers to fulfill stock needs, refresh assortments and support events (i.e. caravans and trunk shows)
 </li>
 <li>
 Development of reporting dashboard for Planning and Management team, using Microsoft Power BI
 </li>
 <li>
 Support store openings / closing plans
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Additional information:
 
 
 <ul>
 <li>
 Must be available to work Monday-Friday: 9-6pm
 </li>
 <li>
 Bachelor&rsquo;s degree or previous internship experience in a related field preferred
 </li>
 <li>
 Proficiency in Microsoft Excel, PowerPoint, and Word.
 </li>
 <li>
 Advanced knowledge of Power BI. SQL, and/or Python.
 </li>
 <li>
 Excellent communications skills.
 </li>
 <li>
 Highly organized with a strong attention to detail.
 </li>
 <li>
 Must be self-motivated and work autonomously.
 </li>
 <li>
 Passion for Fendi and the Luxury Industry
 </li>
 </ul>
</div>

Intern, Supply Chain

MetroPlusHealth

<div>Job Ref: TE0079 
Category: Quality Assurance 
Department: QUALITY MANAGEMENT 
Location: 50 Water Street, 7th Floor, New York, NY 10004
 
Job Type: Temporary 
Employment Type: Full-Time 
Work Arrangement: Hybrid 
Salary Range: $21.00 - $26.00 
Empower. Unite. Care.
MetroPlusHealth is committed to empowering New Yorkers by uniting communities through care. We believe that Health care is a right, not a privilege. If you have compassion and a collaborative spirit, work with us. You can come to work being proud of what you do every day.
<h2 class="jobSectionHeader">About NYC Health + Hospitals</h2>
MetroPlusHealth provides the highest quality healthcare services to residents of Bronx, Brooklyn, Manhattan, Queens and Staten Island through a comprehensive list of products, including, but not limited to, New York State Medicaid Managed Care, Medicare, Child Health Plus, Exchange, Partnership in Care, MetroPlus Gold, Essential Plan, etc. As a wholly-owned subsidiary of NYC Health + Hospitals, the largest public health system in the United States, MetroPlusHealth network includes over 27,000 primary care providers, specialists and participating clinics. For more than 30 years, MetroPlusHealth has been committed to building strong relationships with its members and providers.
Position Overview
The Data Analyst Intern will support initiatives that strengthen the Plan&rsquo;s clinical quality and its ability to deliver timely, accurate insights to internal teams. This work supports HEDIS, the Healthcare Effectiveness Data and Information Set, which is the national framework used to assess how effectively health plans provide preventive care, chronic condition management, and other essential services.
During the internship, the student will contribute to improving how quality data is accessed and used across the department, which may include designing components of a self‑service analytics resource, developing tools that streamline data request workflows, or helping create more efficient ways to track and monitor information needs. The intern will gain hands‑on experience with healthcare analytics, data preparation, visualization, and user‑focused solution design.
This role offers meaningful exposure to how data infrastructure supports quality programs, informs member outcomes, enhances operational performance, and builds a foundation for a career in healthcare analytics, quality, or data science.
Duties &amp; Responsibilities
<ul><li>Support efforts to improve how internal teams access, request, and use quality data.</li>
<li>Assist in designing components of a self‑service analytics resource or tools that streamline data request workflows.</li>
<li>Help develop or enhance processes for logging, tracking, and monitoring data requests.</li>
<li>Support data collection, cleaning, validation, and transformation activities.</li>
<li>Collaborate with cross‑functional teams to understand reporting needs and translate them into process features.</li>
<li>Conduct exploratory data analysis to identify trends and potential quality improvement opportunities.</li>
<li>Document requirements, workflows, and data definitions used in the processes.</li>
<li>Prepare basic visualizations and summaries to support ongoing Quality initiatives.</li>
<li>Participate in team meetings, presenting findings where appropriate.</li>
</ul><h2 class="jobSectionHeader">Work Shifts</h2>
9:00 AM- 5:00 PM
<h2 class="jobSectionHeader">Minimum Qualifications</h2>
<ul><li>Currently enrolled in a Data Science, Statistics, Computer Science, Health Informatics, or similar program.</li>
<li>Basic understanding of SQL, R, or Python, or a similar analytic language.</li>
<li>Familiarity with data visualization tools (e.g., Tableau, Power BI, Shiny, or similar).</li>
<li>Strong analytical thinking, problem‑solving skills, and attention to detail.</li>
<li>Ability to work with structured and unstructured data.</li>
<li>Strong communication skills, with the ability to translate technical concepts into user‑friendly language.</li>
</ul>
Professional Competencies:
<ul><li>Integrity and Trust</li>
<li>Customer Focus</li>
<li>Functional/Technical skills</li>
<li>Written/Oral Communication</li></ul></div>

Summer Intern - Quality Management Operations

Explore 964+ Data engineer intern in New York this March. Find roles across top companies and apply now to boost your career.

964 data engineer intern jobs In New York

Data Engineer Intern

Data Engineer Intern

Intern, Data Engineer

SUMMER GRADUATE INTERN - Data Analytics & Management

The Morgan Library & Museum 2026 - Collection Information Summer Internship

Intern, Supply Chain

Summer Intern - Quality Management Operations