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Analytics Assistant Jobs in New York (NOW HIRING)

Contribute to monthly reporting, rate attestation administration, and fines and penalties analysis. * Assist with the development and advancement of sanctions, privacy, AI, training, and other ...

Contribute to monthly reporting, rate attestation administration, and fines and penalties analysis. * Assist with the development and advancement of sanctions, privacy, AI, training, and other ...

Contribute to monthly reporting, rate attestation administration, and fines and penalties analysis. * Assist with the development and advancement of sanctions, privacy, AI, training, and other ...

Contribute to monthly reporting, rate attestation administration, and fines and penalties analysis. * Assist with the development and advancement of sanctions, privacy, AI, training, and other ...

Monitoring phones emails and mailbox with appropriate follow through. * Assist practitioner as needed including obtaining published documents and compilation of data for analysis. * Assist research ...

Partner closely with the Epic Cogito developer team to ensure alignment between enterprise analytics needs and Cogitobased data models, tools, and workflows. * Assist in managing daytoday ...

Partner closely with the Epic Cogito developer team to ensure alignment between enterprise analytics needs and Cogitobased data models, tools, and workflows. * Assist in managing daytoday ...

Showing results 41-60

Analytics Assistant information

See New York salary details

$25.1K

$61.5K

$151.4K

How much do analytics assistant jobs pay per year?

As of Sep 8, 2026, the average yearly pay for analytics assistant in New York is $61,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,531.00 and $71,062.00 per year, depending on experience, location, and employer.

What is an analytics assistant?

Analytics Assistants are professionals who support data analysis tasks within a company or organization. They help collect, organize, and process data, create reports, and assist senior analysts in interpreting information to guide business decisions. Their responsibilities often include using data management tools, preparing presentations, and ensuring data accuracy. Analytics Assistants play a vital role in transforming raw data into actionable insights. This entry-level position is ideal for those looking to start a career in data analytics.

What does an analytics assistant do?

As an Analytics Assistant, your day-to-day tasks often include gathering and cleaning data, creating basic reports, and supporting more senior analysts with research and data visualization. You play a key role in ensuring data accuracy and timely delivery of insights, which helps the team make informed decisions. Collaboration with team members, such as analysts and project managers, is common, especially when preparing presentations or addressing urgent data requests. This role provides a strong foundation in analytics tools and processes, making it ideal for those aiming to advance in data-driven careers.

What are the key skills and qualifications needed to thrive as an analytics assistant?

To thrive as an Analytics Assistant, you need a solid understanding of data analysis, statistics, and proficiency with spreadsheet and database tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data visualization software (like Tableau or Power BI), SQL, and Microsoft Excel are typically required, and knowledge of programming languages like Python or R is beneficial. Attention to detail, analytical thinking, and strong communication skills help you interpret data accurately and convey insights effectively to stakeholders. These abilities are crucial for supporting data-driven decision-making and ensuring the accuracy and clarity of analytical reports.

What is the difference between Analytics Assistant vs Data Analyst?

AspectAnalytics AssistantData Analyst
Required CredentialsAssociate's degree or relevant certificationsBachelor's degree in data-related fields, often with certifications
Work EnvironmentSupportive, entry-level roles in offices or remote settingsAnalytical, project-focused roles in various industries
Employer & Industry UsageCommon in marketing, finance, and tech companiesWidely used across industries for data-driven decision making
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing differences in data-related job responsibilities

The main difference between an Analytics Assistant and a Data Analyst lies in their experience level, responsibilities, and qualifications. Analytics Assistants typically support data teams with basic tasks and require less advanced education, while Data Analysts handle more complex analysis and decision-making processes. Both roles are essential in data-driven organizations, but they differ in scope and expertise.

What are the most commonly searched types of Analytics jobs in New York?

The most popular types of Analytics jobs in New York are:

What cities in New York are hiring for Analytics Assistant jobs?

Cities in New York with the most Analytics Assistant job openings:

Infographic showing various Analytics Assistant job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $61,544 per year, or $29.6 per hour.

Data Analytics Intern- Fall 2026

Jomboy Media

New York, NY

Internship

Re-posted 9 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.