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Data Analysis Assistant Jobs in New York (NOW HIRING)

AaraTechnologies Inc

DATA ANALYST

Jersey City, NJ · On-site

Support KPI and trend reporting * Assist with ad-hoc analysis * Document reports and metrics Required Qualifications * 2-3 years of experience in data analysis or reporting * Strong SQL skills

AaraTechnologies Inc

DATA ANALYST

Jersey City, NJ · On-site

Document report logic, metrics, and data definitions * Assist with ad-hoc analysis and business reviews Required Qualifications * 1-3 years of experience in Data Analysis, Reporting, or a related ...

LoveShackFancy

Financial Analyst

Manhattan, NY · On-site

$70K - $120K/yr

Help build and maintain financial models for revenue, expenses, headcount, and cash flow * Assist with ad hoc financial analysis to support strategic initiatives and business decisions Data Analysis ...

Robert Half

Data Analyst

Woodbridge, NJ · On-site

$27.50 - $31.25/hr

Partner with internal teams to respond to ad hoc analysis requests and deliver timely, accurate results. * Assist with special projects by compiling data, validating information, and summarizing ...

LoveShackFancy

Financial Analyst

Manhattan, NY · On-site

Help build and maintain financial models for revenue, expenses, headcount, and cash flow * Assist with ad hoc financial analysis to support strategic initiatives and business decisions Data Analysis ...

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Data Analysis Assistant information

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How much do data analysis assistant jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data analysis assistant in New York is $20.84, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $23.41 per hour, depending on experience, location, and employer.

What is the difference between Data Analysis Assistant vs Data Analyst?

AspectData Analysis AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree or higher in related fields
Work EnvironmentSupportive, entry-level roles in offices or teamsIndependent or team-based analysis in various industries
Employer & Industry UsageEntry-level support roles across sectorsData-driven decision-making roles in multiple industries
Common Search & ComparisonOften compared for entry-level data support rolesMore advanced, analytical positions

The Data Analysis Assistant typically performs entry-level support tasks, assisting with data collection and basic analysis, often requiring an associate's degree or certifications. In contrast, Data Analysts handle more complex data interpretation, reporting, and strategic insights, usually holding a bachelor's degree or higher. While both roles work in similar environments, the Data Analyst role involves greater responsibility and independence.

What are the key skills and qualifications needed to thrive as a data analysis assistant?

To thrive as a Data Analysis Assistant, you need a solid background in statistics, data interpretation, and proficiency with spreadsheets, often supported by a relevant degree or coursework. Familiarity with data analysis tools such as Microsoft Excel, SQL, and basic knowledge of programming languages like Python or R is commonly required. Attention to detail, critical thinking, and strong communication skills help you effectively process data and present findings. These competencies are crucial for ensuring accurate data handling, supporting sound business decisions, and enabling effective teamwork.

What does a data analysis assistant do?

A Data Analysis Assistant supports data analysts and data scientists by collecting, cleaning, organizing, and preparing data for analysis. They help ensure the accuracy and integrity of datasets, create basic reports or visualizations, and may assist with statistical analysis or data entry tasks. Their work allows the analysis team to focus on more complex data interpretation and decision-making, making the assistant an essential part of the data workflow.

What are some common challenges faced by data analysis assistants when supporting multiple projects simultaneously?

Data Analysis Assistants often juggle several projects at once, which can make prioritizing tasks and managing time a challenge. Balancing the differing data requirements, deadlines, and communication with multiple team members requires strong organizational skills and adaptability. It's important to maintain clear documentation, proactively clarify expectations with project leads, and regularly update stakeholders on progress. Effective use of tools for tracking assignments and deadlines can help ensure accuracy and timely delivery of analyses.
What are the most commonly searched types of Data Analysis jobs in New York? The most popular types of Data Analysis jobs in New York are:
What are popular job titles related to Data Analysis Assistant jobs in New York? For Data Analysis Assistant jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Analysis Assistant jobs in New York look for? The top searched job categories for Data Analysis Assistant jobs in New York are:
What cities in New York are hiring for Data Analysis Assistant jobs? Cities in New York with the most Data Analysis Assistant job openings:
Data Analysis Assistant jobs near you
Infographic showing various Data Analysis Assistant job openings in New York as of August 2026, with employment types broken down into 68% Full Time, 14% Part Time, and 18% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $43,356 per year, or $20.8 per hour.

Data Analytics Intern- Fall 2026

Jomboy Media

New York, NY

Internship

Posted 12 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.

Apply