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Data Intern Jobs in Rye, NY (NOW HIRING)

INTERN

Dix Hills, NY · On-site

$16 - $21.25/hr

Intern will enhance the services we offer our clients by carrying out the duties assigned by the Volunteer's/Intern's assigned supervisor. Intern responsibilities may include, but are not limited to ...

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Data Intern information

See Rye, NY salary details

$12

$23

$44

How much do data intern jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data intern in Rye, NY is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.96 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data interns and data science professionals can start at any age, including 40 or older. Success in data science depends on skills, such as programming, statistics, and tools like Python or R, rather than age. Many individuals transition into data roles later in their careers through self-study, online courses, and certifications.

What are the key skills and qualifications needed to thrive as a Data Intern, and why are they important?

To thrive as a Data Intern, you typically need foundational knowledge in data analysis, statistics, and programming languages such as Python or R, often supported by coursework in computer science or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and SQL databases is commonly expected. Strong attention to detail, problem-solving ability, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing meaningfully to projects in a collaborative environment.

Is 23 an hour good for an internship?

For a Data Intern position, $23 an hour is above the federal minimum wage and generally considered competitive for internships in many regions, especially if the role involves data analysis, programming, or using tools like Excel or SQL. However, internship pay varies by location, industry, and company size, so it's important to compare with local standards and the internship's responsibilities.

What does a data intern do?

A data intern assists with collecting, cleaning, and analyzing data to support business decisions. They often use tools like Excel, SQL, or Python and may work under supervision to develop reports, dashboards, or data models. The role provides hands-on experience in data management and analysis within a professional environment.

What are the big 4 internships?

The Big 4 internships refer to internship programs offered by Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms provide opportunities in areas such as audit, consulting, tax, and advisory, often targeting students pursuing degrees in accounting, finance, or related fields. Internships typically last 8-12 weeks and may lead to full-time offers for high-performing interns.

What is the difference between Data Intern vs Data Analyst?

AspectData InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some experience
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time role, responsible for analyzing data and reporting
Employer & Industry UsageInternships in tech, finance, healthcare, etc.Established companies across various industries

The main difference between a Data Intern and a Data Analyst lies in experience and responsibilities. Data Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are more experienced professionals responsible for analyzing data, creating reports, and supporting decision-making. Internships serve as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What types of projects and tasks can a Data Intern typically expect to work on during their internship?

As a Data Intern, you can expect to be involved in a variety of hands-on projects such as cleaning and organizing datasets, assisting with data collection, and supporting the development of reports or dashboards. You may work closely with data analysts, data scientists, or business teams to help identify trends and uncover insights from raw data. This role often includes learning to use data analysis tools like Excel, Python, or SQL, and contributing to ongoing team projects while gaining exposure to real-world data challenges. Interns are usually given guidance and mentorship, making this a great opportunity to build foundational skills and understand how data-driven decisions are made in the organization.
What are the most commonly searched types of Data jobs in Rye, NY? The most popular types of Data jobs in Rye, NY are:
What cities near Rye, NY are hiring for Data Intern jobs? Cities near Rye, NY with the most Data Intern job openings:
Pension Finance & Data Integrity, Emerging Talent Intern (Fall)

Pension Finance & Data Integrity, Emerging Talent Intern (Fall)

Metropolitan Transportation Authority

New York, NY • On-site

$19/hr

Internship

Re-posted 18 days ago


Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

40th of 76 rated public transport


Job description

Job ID: 15475
Business Unit: MTA Headquarters
Location: New York, NY, United States
Regular/Temporary: Intern
Department: MaBSTOA Pension Administration
Date Posted: Apr 24, 2026
Description
Department: MaBSTOA Pension Administration
Location: 2 Broadway, New York, NY 10004
Position Title: Pension Finance & Data Integrity, Emerging Talent Intern (Fall)
Hourly Rate: $19.00 (Undergraduate)
All internship positions are onsite and require regular, in-person attendance at the designated work location.
OVERVIEW OF DEPARTMENT:
The MaBSTOA Pension Finance Unit supports the financial operations and integrity of the MaBSTOA Pension Plan by ensuring accurate processing, reconciliation, and historical validation of participant contribution records.
RESPONSIBILITIES:
  • Assist in locating, reviewing, and organizing historical pension records, including legacy reports, payment vouchers, and tax documents.
  • Digitize physical and legacy documents and convert them into standardized PDF formats for long-term storage.
  • Accurately index participant-specific documents into Oracle UCM using appropriate metadata (e.g., EmplID, name, document type).
  • Develop and maintain a centralized index of pension-related documents to support efficient retrieval and audit readiness.
  • Support research of participant account activity by reviewing historical records to identify contribution refunds, account balances, and key financial events.
  • Analyze legacy pension reports to identify patterns such as when participants drop off reporting cycles or indicators of prior refund activity.
  • Assist in converting legacy payroll and contribution data into usable formats and support preparation of interest calculations for Additional Member Contributions (AMC).
  • Contribute to process improvement efforts by identifying opportunities to enhance document management, data accessibility, and overall workflow efficiency.

PROJECTS:
  • Development of a Centralized Pension Document Index: Create and maintain a structured, searchable master index of historical pension documents (e.g., 1099-Rs, weekly pension reports, refund records) to significantly improve document retrieval time and support audit readiness.
  • Historical Records Digitization and UCM Integration: Lead the digitization and standardized organization of legacy and physical pension records, including proper indexing in Oracle UCM to ensure long-term accessibility and traceability of participant-specific and system-wide documents.
  • Legacy Data Conversion and Interest Calculation Support: Assist in transforming legacy payroll and contribution data into usable formats to support accurate calculation of interest on Additional Member Contributions (AMC), including development of templates or tools to streamline and standardize the calculation process.

REQUIRED QUALIFICATIONS:
  • Proficiency in Microsoft Office Suite is a must.
  • The candidate should possess organizational, analytical and communication skills.
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.
  • Strong analytical and problem-solving skills.
  • Interest in financial systems, data management, or public sector operations.
  • Ability to review and interpret data across multiple sources.

REQUIRED EDUCATION:
  • Matriculated in an undergraduate program in good standing with at least 2.5 GPA.
  • Major(s) Preferred: Pursuing a degree in Finance, Accounting, Business Administration, Data Analytics, Public Administration, or related field.

All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted.
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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