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Student Shadow Data Analytics Jobs in New York (NOW HIRING)

Alchemy Insights, Inc

Data Analytics Engineer

New York, NY · On-site

$200K - $240K/yr

Eliminate shadow tables and one-off datasets by proactively serving team data needs at the platform ... Experience designing efficient, scalable analytical data models * Proficiency with dbt or ...

Jobtailor

Lead Analyst, Data Advisor

New Brunswick, NJ · On-site

$95 - $120/hr

* Act as a main point of contact for business users seeking data for analytics, reporting, or ... Guide users toward certified, governed data sources vs. shadow or siloed data * Work closely with ...

Tradeweb Markets

Head of Data Risk Management

New York, NY · On-site

$94K - $118K/yr

Establish safeguards around data propagation, duplication, and shadow data usage. * Lead risk oversight for AI/ML and advanced analytics, including input integrity, output reliability, and model-data ...

Tradeweb Markets

Head of Data Risk Management

New York, NY

$94K - $118K/yr

Establish safeguards around data propagation, duplication, and shadow data usage. * Lead risk oversight for AI/ML and advanced analytics, including input integrity, output reliability, and model-data ...

Synchrony

BLP Intern - Data Analytics

Stamford, CT

What You'll Accomplish This internship is for students who are looking to get a critical jump start on a career in Data Analytics, working side by side with our experts in the function to gain ...

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Student Shadow Data Analytics information

What is a student shadow data analytics?

Student Shadow Data Analytics refers to the process of collecting and analyzing data about students as they are observed or 'shadowed' through their daily academic activities. This analysis helps educators and administrators understand student behaviors, learning patterns, and engagement levels. Insights from this data can be used to improve teaching strategies, personalize learning experiences, and identify areas where students may need additional support. Student shadowing combined with data analytics provides a comprehensive view of the student experience in educational settings.

What types of projects or tasks can I expect to work on as a student shadow in data analytics?

As a Student Shadow in Data Analytics, you will typically observe and assist with projects such as data collection, cleaning, and visualization. You might help analyze datasets to uncover trends or support team members in preparing reports and presentations for stakeholders. This role often involves collaborating closely with experienced data analysts and learning how to use industry-standard tools like Excel, SQL, or Python. It's a great opportunity to see how real-world business problems are solved using data-driven approaches.

What are the key skills and qualifications needed to thrive as a student shadow in data analytics, and why are they important?

To thrive as a Student Shadow in Data Analytics, you should have a foundational understanding of statistics, data interpretation, and basic programming, often gained through coursework or related academic projects. Familiarity with tools such as Microsoft Excel, SQL, and introductory data visualization software (like Tableau or Power BI) is typically expected. Eagerness to learn, attention to detail, and strong communication skills help you stand out in this observational and learning-focused role. These skills are crucial because they enable you to quickly absorb complex concepts, contribute to discussions, and make the most of your shadowing experience in a real-world data analytics environment.

What is the difference between Student Shadow Data Analytics vs Data Analyst?

AspectStudent Shadow Data AnalyticsData Analyst
Required CredentialsTypically enrolled in a related degree program, no formal certification requiredBachelor's degree in data science, statistics, or related field; certifications like SQL or Tableau often preferred
Work EnvironmentObservational role, often unpaid or internship-based, in educational or entry-level settingsFull-time professional role in corporate, finance, healthcare, or tech industries
Employer & Industry UsageEducational institutions, internships, entry-level projectsBusinesses, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between Student Shadow Data Analytics and Data Analyst lies in experience, credentials, and work environment. Student Shadow roles are typically observational or internship-based, focusing on learning, while Data Analysts are full-time professionals performing data analysis tasks in various industries.

How to become a student shadow data analyst with no experience free?

To become a student shadow data analyst with no experience, start by learning basic data analysis skills using free online resources such as tutorials on Excel, SQL, and Python. Seek opportunities to observe professionals through internships, volunteering, or mentorship programs, and build a portfolio of simple projects to demonstrate your skills. Gaining familiarity with data visualization tools like Tableau or Power BI can also enhance your prospects.

What are popular job titles related to Student Shadow Data Analytics jobs in New York?

For Student Shadow Data Analytics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Student Shadow Data Analytics jobs in New York look for?

The top searched job categories for Student Shadow Data Analytics jobs in New York are:

What cities in New York are hiring for Student Shadow Data Analytics jobs?

Cities in New York with the most Student Shadow Data Analytics job openings:

Student Shadow Data Analytics jobs near you
Infographic showing various Student Shadow Data Analytics job openings in New York as of August 2026, with employment types broken down into 27% Internship, and 73% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Data Analytics Intern- Fall 2026

Jomboy Media

New York, NY

Internship

Posted 24 days ago

Job description

Title: Data Analytics Intern

When: Fall 2026

Job Summary: Jomboy Media's Data Analytics Internship is a hands-on training program for students studying Marketing, Business, Analytics, or a related field who want to learn how a media company uses data to inform decisions. Working for academic credit under the guidance of our analytics team, you'll learn to track, organize, and interpret data across our advertising, content, and revenue platforms. This internship runs Aug 31 - Dec 11, with hours arranged around your availability.

  • Start date: August 31th 

  • End date: December 11th 

  • Hours per week: 20-30, Working around your university & class schedule

What You'll Learn

  • Marketing & campaign analytics
  • Data organization & reporting (Excel/Google Sheets)
  • Digital advertising platforms (Meta Ads Manager, Google Ad Manager, and more)
  • Revenue & sales operations data
  • Cross-team collaboration

Responsibilities:

  1. Monitor and Report on Campaigns:
    • Learn to track and analyze performance of internal and external campaigns across platforms including Listener, Meta Ads Manager, Google Ad Manager, Simplecast, Shopify, and YouTube, under the guidance of our analytics team.
    • Assist in preparing regular reports on key metrics such as views, impressions, engagement, sales, and programmatic earnings.
  2. Data Organization and Analysis:
    • Assist in collecting and compiling data related to JM content across platforms.
    • Learn data cleaning and organization techniques to prepare exports for aggregation and analysis.
    • Practice data analysis using Google Sheets and other analytics tools, under supervision.
  3. Sales Team Assistance:
    • Shadow the sales team to learn how data supports sales decks and proposals, assisting with data entry under supervision.
    • Learn how recurring sales materials are maintained and kept up to date.
    • Gain exposure to how data informs sales team presentations and proposals.
  4. Monday.com:
    • Learn to use Monday.com dashboards to extract revenue and inventory data, assisting with accuracy checks under guidance.

Requirements:

  • Currently pursuing a degree in Marketing, Business, Analytics, or a related field.
  • Strong analytical skills and attention to detail.
  • Proficiency in Microsoft Excel/Google Sheets.
  • Familiarity with digital advertising platforms such as Meta Ads Manager, Google Ad Manager, Simplecast, Shopify, and YouTube.
  • Basic knowledge of data analysis techniques and tools.
  • Excellent organizational and time management skills.
  • Strong communication and teamwork abilities.
  • Self-motivated and eager to learn.

This internship is a fixed-term learning experience with no expectation of continued employment. Strong performance may be considered for future openings, but a job is never guaranteed. Our internship program is currently unpaid. Candidates must receive school credit.

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