business performance intern - full time 2026

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business intelligence analyst Jobs in New York

business intelligence analyst

business performance intern - full time 2026 Jobs in New York

financial analyst

junior financial analyst Jobs in New York

junior financial analyst

business analytics intern

Odyssey Group

<p></p><div><p>Hudson is a market-leading specialty insurer that offers a wide range of property and casualty insurance products to corporations, professional firms and individuals through retailers, wholesalers and program administrators.</p><br>
<p></p>
<p>
We focus our attention and our resources on finding high-quality solutions that give our business partners, producers, and policyholders a safe harbor for the risks they face.</p><br>
<p></p>
<p>
Headquartered in New York City with offices throughout the U.S. and in Vancouver, Canada, Hudson underwrites excess insurance on an admitted basis through Hudson Insurance Company and on a non-admitted basis through Hudson Excess Insurance Company.</p><br>
<p></p>
<p>
Collectively known as Hudson Insurance Group, its companies are rated A+ (Superior) by A.M. Best, Financial Size Category XV. Hudson Insurance Group is the U.S. Insurance Division of the Odyssey Group, a leading global provider of reinsurance and specialty insurance. Odyssey Group is a subsidiary of Fairfax Financial Holdings Limited.</p><br>
<p></p>
<p><b>
Position Description:</b> This is a 10-week summer internship program running from June 1 to August 7, 2026. This role is for candidates currently pursuing a college or university degree with an accredited institution and consists of on-the-job learning, along with a final presentation, in addition to any depart-ment-specific projects and tasks. The Business Analytics Intern will have the opportunity to sup-port the business intelligence function across a broad swath of initiatives including contributing to the creation of business intelligence reports, data cleaning and validation, and other ad-hoc tasks to support the business. No prior knowledge is necessary. To complete your application, please include a cover letter (no more than 300 words). The application deadline is March 20, 2026.</p><br>
<p></p>
<p><b>
Essential Duties:</b></p>
<ul>
<li>Assist the Business Intelligence team with querying, cleaning, and validating data.</li>
<li>Contribute to the creation of Power BI reports and semantic models.</li>
<li>Improve pre-existing manual processes through automation.</li>
<li>Assisting in cross functional meetings.</li>
<li>Ad-hoc tasks and projects within the broader business intelligence function.</li></ul><br>
<p></p>
<p><b>
Skills, Knowledge and Abilities:</b></p>
<ul>
<li>Excellent written and communication skills.</li>
<li>Excellent organizational skills and attention to detail.</li>
<li>Excellent time management skills.</li>
<li>Proficiency with Microsoft Office Suite preferred.</li>
<li>Some knowledge of SQL, Excel, and/or Power BI preferred.Excellent interpersonal and communication skills.</li></ul><br>
<p></p>
<p><b>
Education/Experience:</b></p>
<ul>
<li>Rising junior or senior at an accredited college or university.</li>
<li>Majors in Business Analytics or other Business practices, computer science, information technolo-gy, math, statistics, or data science preferred.</li></ul><br>
<p></p>
<p>
Interns will work in-person during the work week from the New York City office located at 100 William Street, following a typical office schedule of a 9am-5pm working day, allowing for a 1-hour lunch break. The pay range for this role is $20-30/hr.</p><br>
<p></p>
<p>We are an E-Verify employer - all hired positions require successfully passing an E-Verify Check.</p></div><p></p>

2026, Business Analytics Intern

New York Post

<div><div>Job Description :</div><div></div><div>
The New York Post provides readers with the best in News, Sports, Pop Culture and Entertainment &ndash; with signature wit, irreverence and authority averaging 90 million unique viewers a month. Over the past 224 years, The Post has evolved into a multi-platform media company spanning print, digital, video, audio, app, television and commerce.</div><div></div><div>
The New York Post Internship Program offers a dynamic, hands-on experience designed to give interns exposure to real world work within the media and news industry. Our interns are highly valued team members who work on meaningful projects that directly impact our business. Throughout the program, interns participate in career building masterclasses that support their professional growth and have the opportunity to build lasting relationships with peers and key leaders in the company. Build your skills, grow your network, and get an inside look at life behind the headlines.</div><div></div><div>
The Data &amp; Analytics team at The New York Post is at the heart of everything we do &ndash; from content creation to audience engagement, and marketing strategy. Our team works with complex datasets to uncover key insights that drive decisions across editorial, business development, and digital strategy. We leverage cutting-edge technology, machine learning, and business intelligence tools to optimize our content and maximize our reach. If you&rsquo;re passionate about data, media, and using insights to shape decisions, we want you on our team.</div><div></div><div>
We&rsquo;re seeking a full-time Data Intern (40 hrs/week) to join us this summer! In this role, you&rsquo;ll work closely with our team of data scientists, machine learning experts, and business stakeholders. This internship will immerse you in the end-to-end data lifecycle, from data extraction to analysis, and visualization, to building machine learning models. Your work will have a direct impact on how we tailor our content to meet the needs of our audience, improve engagement, and shape our marketing strategies.</div><div></div><div>
Note: This internship is scheduled to run from June 1, 2026 - August 7, 2026. Participants are expected to work full time hours and adhere to our on-site work schedule. Open to current juniors and seniors pursuing a BA, MA students, and recent graduates who completed their degree within the past year. Priority consideration will be given to applications received by March 15th.</div><div></div><div>
What You&rsquo;ll Do:</div><ul><li><div>
Collaborate with data science, machine learning, and technology teams to design and develop machine learning models</div></li><li><div>
Support the creation, maintenance, and delivery of data-driven products</div></li><li><div>
Work directly with business stakeholders to understand their data needs and translate them into functional requirements</div></li><li><div>
Conduct exploratory data analysis and visualization to identify trends, correlations, and insights</div></li><li><div>
Refine statistical approaches for targeting, attribution, and engagement strategies</div></li><li><div>
Be involved in every aspect of the data lifecycle, from data ingestion, ETL (Extract, Transform, Load) to analysis, visualization, and machine learning modeling</div></li></ul><div></div><div>
What We&rsquo;re Looking For:</div><ul><li><div>
Currently pursuing or recently attained a Bachelor&rsquo;s degree in Data Science, Data Analytics, Economics, Engineering, Mathematics, Computer Science, Business Analytics, Physics, or any field with a strong foundation in statistics and coding</div></li><li><div>
Proficiency in data analysis, coding (e.g., Python, R), and data visualization tools (e.g., Tableau, Power BI)</div></li><li><div>
Strong attention to detail and ability to handle large datasets accurately</div></li><li><div>
Excellent written and verbal communication skills</div></li><li><div>
Ability to adapt to changing priorities and work on multiple projects simultaneously</div></li><li><div>
Strong problem-solving abilities and a passion for using data to drive decision-making</div></li><li><div>
A commitment to maintaining confidentiality when handling sensitive data</div></li></ul><div></div><div>
As an equal opportunity employer, the New York Post does not discriminate in hiring or the terms and conditions of employment because of an individual&rsquo;s race, color, religion, national origin, age, disability, gender, sexual orientation, citizenship or any other characteristic protected by federal, state or local law. The New York Post will consider the provision of reasonable accommodations to known physical or mental disabilities of otherwise qualified applicants to enable them to participate in our application process and to effectively perform the essential functions of the job, unless doing so would impose an undue financial or operational hardship.
</div><div></div>Pay Range: $20/Hr - $20/Hr</div>

Data Intern

Tatari

<div>
 Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world&rsquo;s fastest growing brands including
 <em>
  Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V
 </em>
 ., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
 <br/>
 <br/>
 That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual
 <em>
  MarTech Breakthrough Awards
 </em>
 , as well as honors from
 <em>
  Digiday
 </em>
 (Best Connected TV Platform),
 <em>
  AdExchanger
 </em>
 (Most Innovative TV Advertising Technology), and
 <em>
  Business Insider
 </em>
 (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by
 <em>
  Inc. Magazine
 </em>
 . Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
 <br/>
 <br/>
 We&rsquo;re looking for a full-time data science analyst intern to join us for the Summer 2026. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a diverse set of challenging data problems. Under the guidance of our Senior Data Scientists and Senior Data Analysts, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience. This internship requires a minimum of 10 week commitment.
 <br/>
 <br/>
 <strong>
  What You'll Do:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Learn the ins and outs of TV advertising, from measurement to attribution
  </li>
  <li>
   Work cross-functionally with Tatari&rsquo;s Revenue and Client Services teams to understand client needs, providing ad-hoc analyses to unlock client performance
  </li>
  <li>
   Partner with senior Data Science team members to improve existing business processes, from algorithm development to automation
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Currently enrolled in an undergraduate program in any of the named fields: Data Science, Statistics, Computer Science, Mathematics, Physics, Business Administration, or Economics)
  </li>
  <li>
   Completed a minimum of two years of college/university by Summer 2026 with at least one academic term remaining after the conclusion of the internship
  </li>
  <li>
   Experience with data manipulation using Python (e.g. Pandas, Polars, Pyspark). SQL knowledge is a plus.
  </li>
  <li>
   A quick learner, with the ability to work independently in a fast-paced environment; adaptability and a strong self-teaching ethic are highly valued
  </li>
  <li>
   Strong strategic thinking capabilities
  </li>
  <li>
   Interest in learning to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
  </li>
  <li>
   Bonus: Knowledge of statistics and probability
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits + Perks:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive salary ($30.00 - $38.00 hourly)
  </li>
  <li>
   You can pick where you want to be for the summer: San Francisco, Los Angeles, and New York City!
  </li>
  <li>
   Hybrid schedule: 2-3 days per week
  </li>
  <li>
   Snacks, drinks, and catered lunches at the office
  </li>
  <li>
   Team building events
  </li>
  <li>
   Laptop and peripherals provided
   <br/>
   <br/>
  </li>
 </ul>
 At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
 <br/>
 <br/>
</div>


Data Science Analyst, Intern

Citi

<div><p>Citibank, N.A. seeks a Business Analytics Lead Analyst or its New York, NY location.</p><p></p><p>
DUTIES: Work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies using tools such as Python, Hadoop, and Spark. Document data requirements and perform data collection, processing, cleaning, and exploratory data analysis including data visualization techniques to assure data quality and readiness for downstream consumption using tools including MS Excel and Tableau. Interpret data to identify trends, patterns, and insights that inform business decisions and strategies. Monitor and analyze key performance indicators (KPIs) such as user engagement, profitability, and retention metrics. Provide data-driven insights to support product strategy and roadmap planning. Maintain regular communication with stakeholders to provide updates on project progress, requirements, and issues. Track performance of Travel Portal marketing campaigns and provide insights for marketing and product partners. Refine marketing strategy on Travel portal by optimizing targeting and establishing a profitability framework by developing travel propensity. Recommend actions for future developments and strategic business opportunities. Translate data into customer behavioral insights to drive targeting and segmentation strategies and communicate all findings clearly and effectively to business partners and senior leaders. A telecommuting/hybrid work schedule may be permitted within a commutable distance from the worksite in accordance with Citi policies and protocols.</p><p></p><p>
REQUIREMENTS: Bachelor&rsquo;s degree, or foreign equivalent, in Economics, Finance, Business, Mathematics, or a related field, and six (6) years of experience in the job offered or in a related quantitative occupation working with large and complex data sets and supporting the implementation of business strategies. Six (6) years of experience must include: Performing quantitative analytics to support financial services, manage product performance, minimize implementation timelines, and manage organization risk; Utilizing Big Data analytics methods and tools to collect and examine customer data and applying mathematical, statistical, and quantitative analysis techniques to perform complex analyses and propose solutions that align with organizational goals; Utilizing Python, PySpark, Hadoop, HIVE, and SQL to extract and analyze data, identify trends and patterns and develop visualizations and tangible solutions to meet business needs; Conducting risk assessments using root-cause analysis to identify, document, and mitigate potential impacts on business decisions with actionable control measures, adhering to established deadlines; Translating and visualizing findings using tools including Tableau or dynamic dashboards that are leveraged to drive decisions based on data; and Collecting and analyzing data to optimize targeting, improve customer experience and develop segmentation strategies. In the alternative, employer will accept a Master&rsquo;s degree and four (4) years of experience or a Ph.D and one (1) year of experience. 40 hrs./wk. Applicants submit resumes at https://jobs.citi.com/. Please reference Job ID # 26929703. EO Employer.</p><p></p><p>
Wage Range: $169,541.00 to $200,000.00</p><p>
Job Family Group: Decision Management</p><p>
Job Family: Business Analysis</p><p>
-</p><p><b>
Job Family Group:
</b></p><p>-</p><p><b>
Job Family:</b></p><p>
-</p><p><b>
Time Type:</b></p>
Full time<p>
-</p><p><b>
Primary Location:</b></p>
New York New York United States<p>
-</p><p><b>
Primary Location Full Time Salary Range:</b></p><p><br>
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.</p><p>
-</p><p><b>
Most Relevant Skills
</b></p>Please see the requirements listed above.<p>
-</p><p><b>
Other Relevant Skills
</b></p>For complementary skills, please see above and/or contact the recruiter.<p>
-</p><p><b>
Anticipated Posting Close Date:</b></p>
Apr 16, 2026<p>
-</p><p><i>
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</i></p><p></p><p><i><br>
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review </i><i>Accessibility at Citi</i><i>.</i><br>
<br>
<i>View Citi&rsquo;s </i><i>EEO Policy Statement</i><i> and the </i><i>Know Your Rights</i><i> poster.</i></p></div>

Business Analytics Lead Analyst

Aday

<div>
 Why ADAY
 <br/>
 <br/>
 ADAY is a direct-to-consumer brand with the aim to lift the standard for clothing through great design + a better supply chain. We&rsquo;re a team of optimists (currently working remotely around the globe) and we&rsquo;re dedicated to making positive changes in the world around us. We&rsquo;re also pretty fun (if we do say so ourselves), and we strive to make each day interesting, challenging and rewarding.
 <br/>
 <br/>
 We&rsquo;ve raised over $10m in venture capital and were named one of the Most Innovative Companies in the World by Fast Company. You can read more about us in places like Fast Company , Vogue , Refinery29 + Conde Nast Traveler (and many more).
 <br/>
 <br/>
 Why ADAY?
 <br/>
 <br/>
 <ul>
  <li>
   We&rsquo;re committed to building each other up and being there for our teammates&mdash;we&rsquo;re an ADAY family.
  </li>
  <li>
   We believe in flexibility and accountability. We encourage our teammates to manage their own schedules (an early bird working at 6am is just as awesome as a night owl working at 10pm&mdash;you get to choose), and to take time off whenever needed (we&rsquo;ll share our favorite travel tips and adventures, too). We like to work hard and relax hard.
  </li>
  <li>
   We are excited about the future of ADAY and the future of each of our teammates. We are passionate about personal growth and we&rsquo;re here to support each person in their journey, no matter what that looks like.
  </li>
  <li>
   We know that diversity is what makes us great. We&rsquo;re committed to diversity in all areas, and we believe that every person on our team has an important point of view that deserves to be heard, no matter the role or seniority.
   <br/>
   <br/>
  </li>
 </ul>
 This Role
 <br/>
 <br/>
 We&rsquo;re looking for a data lover to support our team in making smart, data-driven decisions. You will use strong analytical skills to turn lots of data (sales, inventory, customer!) into actionable recommendations. Your insights will be used across marketing, finance, product, customer experience, and more. The ideal candidate is highly analytical (really, you must love numbers / excel / data analysis), curious, and able to work independently to find answers.
 <br/>
 <br/>
 Your Future Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Analyze large data sets and develop custom models to uncover trends, patterns, and insights in customer and business data
  </li>
  <li>
   Create reports &amp; dashboards that support a wide variety of business needs
  </li>
  <li>
   Work cross-functionally, with strong communications skills
  </li>
  <li>
   Work with a variety of data sources, including a business intelligence tool, e-commerce platform, marketing platforms, and more
   <br/>
   <br/>
  </li>
 </ul>
 We think you have the following characteristics
 <br/>
 <br/>
 The ideal candidate has lots of experience working with data. Your attention to detail is unparalleled - you are quick to notice and address discrepancies or anomalies. We don&rsquo;t expect you to know all the answers but we do expect you to be open-minded, adaptable and willing to learn.
 <br/>
 <br/>
 You likely love complex data problems, are fluent in excel and are excited to be a part of a mission-driven team creating a better future. Moreover, we admire individuals who are not afraid to take the initiative or speak up when they have ideas!
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Excellent analytical skills
  </li>
  <li>
   Superb attention to detail
  </li>
  <li>
   Flexible and quick learner
  </li>
  <li>
   Strong excel skills
  </li>
  <li>
   Naturally curious
  </li>
  <li>
   Bonus points for a basic understanding of SQL, R, or other database languages
  </li>
  <li>
   A high performer with a background in Economics, Finance, Math, Accounting or related field; MBA / graduate study optional
  </li>
 </ul>
</div>


Data Analysis Intern

NYU Langone Health

<div><p>NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News &amp; World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.
<br>
<br>
<i>For more information, go to</i> <i>NYU Langone Health</i>, and interact with us on <i>LinkedIn</i>, <i>Glassdoor</i>, <i>Indeed</i>, <i>Facebook</i>, <i>Twitter</i>, <i>YouTube</i> <i>and</i> <i>Instagram</i>.</p>
<p><b>
Position Summary:</b><br>
We have an exciting opportunity to join our team as a Student Intern.</p>
<p>
NYU Langone Health is a fully integrated health system that consistently achieves the best patient outcomes through a rigorous focus on quality that has resulted in some of the lowest mortality rates in the nation. Vizient Inc. has ranked NYU Langone the No. 1 comprehensive academic medical center in the country for three years in a row, and U.S. News &amp; World Report recently placed nine of its clinical specialties among the top five in the nation. NYU Langone offers a comprehensive range of medical services with one high standard of care across 6 inpatient locations, its Perlmutter Cancer Center, and over 320 outpatient locations in the New York area and Florida. With $14.2 billion in revenue this year, the system also includes two tuition-free medical schools, in Manhattan and on Long Island, and a vast research enterprise with over $1 billion in active awards from the National Institutes of Health.<br>
About the Role<br>
The Data &amp; Analytics Intern will support analytics initiatives across the Program Measurement and Strategy team and the broader Communications, Marketing, Government and Community Affairs (CMGCA) department by helping turn data into meaningful insights. This internship is designed for undergraduate students seeking hands-on experience working with real business data, modern analytics tools, and collaborative teams. Interns will contribute to active analytics projects that inform decision-making while building foundational skills in data analysis, visualization, and storytelling. This role offers meaningful exposure to enterprise analytics workflows in a fast-paced, mission-driven environment.</p>
<p><b>
Job Responsibilities:</b></p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Assist with <b>data analysis and reporting</b> to support marketing, digital, and operational initiatives</li>
<li>Help <b>prepare, clean, and validate datasets</b> from multiple sources</li>
<li>Build and maintain <b>analytics-ready tables and views</b> using SQL and/or Python</li>
<li>Support the development and maintenance of <b>dashboards and reports</b> (e.g., Tableau)</li>
<li>Conduct <b>ad-hoc analyses</b> to answer business questions and identify trends</li>
<li>Document <b>data definitions, assumptions, and analytical approaches</b></li>
<li>Collaborate with analytics team members on ongoing projects and initiatives</li>
<li>Participate in team meetings, project reviews, and learning sessions</li>
<li>Present project outcomes or insights at the conclusion of the internship</li>
</ul><h3 class="jobSectionHeader"><b>Potential Projects &amp; Learning Opportunities</b></h3>
<p>
Interns will work on a mix of structured projects and exploratory analyses, which may include:</p>
<h4 class="jobSectionHeader"><b>
Marketing Mix Modeling (MMM) Support</b></h4>
<ul><li>Prepare aggregated datasets used in Marketing Mix Models</li>
<li>Assist with analyzing how different marketing channels contribute to outcomes such as appointments or conversions</li>
<li>Learn how analytics teams measure marketing impact at an enterprise level</li>
</ul><h4 class="jobSectionHeader"><b>Databricks Analytics</b></h4>
<ul><li>Build and update datasets in Databricks using SQL (with some Python exposure)</li>
<li>Learn how raw data is transformed into trusted analytics tables</li>
<li>Gain experience working in a modern cloud-based analytics environment</li>
</ul><h4 class="jobSectionHeader"><b>Tableau Data Sources &amp; Dashboards</b></h4>
<ul><li>Create and maintain Tableau data sources connected to Databricks</li>
<li>Help define metrics and calculations used in dashboards</li>
<li>Support dashboard updates and performance improvements</li>
</ul><h4 class="jobSectionHeader"><b>Analytics &amp; Data Storytelling</b></h4>
<ul><li>Analyze trends and summarize findings in clear, visual formats</li>
<li>Present insights to analytics team members and project stakeholders</li>
</ul>
<p><b>Minimum Qualifications:</b><br>
To qualify you must have a Currently pursuing an undergraduate degree in Data Analytics, Statistics, Computer Science, Economics, Information Systems, Business Analytics, or a related field<br>
Basic experience with SQL (through coursework or projects)<br>
Interest in data analysis, visualization, and problem-solving<br>
Strong attention to detail and willingness to learn<br>
Ability to communicate findings clearly, both verbally and in writing</p>
<p><b>
Preferred Qualifications:</b><br>
Familiarity with Tableau or another data visualization tool<br>
Exposure to Python or R through coursework or personal projects<br>
Experience working with large datasets<br>
Interest in marketing analytics, digital analytics, or applied statistics</p>
<p><i>
Qualified candidates must be able to effectively communicate with all levels of the organization.</i><br>
<br>
NYU Langone Health provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents.</p>
<p>
At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
<br>
<br>
NYU Langone Health is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.</p>
<p>
View Know Your Rights: Workplace discrimination is illegal.</p>
<p>
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $17.00-17.00 Hourly. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</p>
<p>
To view the Pay Transparency Notice, please click here</p></div>

Student Intern

Kargo

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Who We Hire
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Mission
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <em>
  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.
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 </em>
 <strong>
  What You'll Do
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 </strong>
 <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.
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  </li>
 </ul>
 <strong>
  What You'll Learn
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 </strong>
 <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.
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  </li>
 </ul>
 <strong>
  Who You Are
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 </strong>
 <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.
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  </li>
 </ul>
 <strong>
  Our Laurels
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 </strong>
 <ul>
  <li>
   AdAge Best Places to Work
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   ThinkLA Partner of the Year
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   Built In Best Places to Work
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  <li>
   Cynopsis 2025 Top Women in Media - Jeannine Shao Collins
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  <li>
   Martech Breakthrough Awards - Best Overall Adtech Company
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  <li>
   Digiday Media Awards Best Event
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  <li>
   Cynopsis Media Impact Awards-Best CTV Platform
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  <li>
   Martech Breakthrough Awards-CTV Innovation
  </li>
  <li>
   Adweek Media Plan of the Year Awards - Best Use of Insights
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  </li>
 </ul>
 <strong>
  Follow Our Lead
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 </strong>
 <ul>
  <li>
   Big Picture: kargo.com
  </li>
  <li>
   The Latest: Instagram (@kargomobile) and LinkedIn (Kargo)
  </li>
 </ul>
</div>


Intern, Data Engineer

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