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Data Analysis Intern Jobs in Paramus, NJ (NOW HIRING)

Rho Technologies

Quantitative Analyst Intern

New York, NY · On-site

$20 - $35/hr

About the role You'll work on high-impact data projects that help Rho detect, prevent, and better ... Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

Our team is comprised of Sales Executives, Software Engineers, Data Analysts, Ad Operations ... The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process ...

Prevention Links Inc

Student Intern

Jersey City, NJ · On-site

$15.75 - $21/hr

Each intern will remain in their assigned placement for the duration of the internship, gaining ... Utilize Excel and/or databases to organize and analyze data * Assist in developing reports ...

Prevention Links Inc

Student Intern

Elizabethport, NJ · On-site

$15.25 - $20.25/hr

Each intern will remain in their assigned placement for the duration of the internship, gaining ... Utilize Excel and/or databases to organize and analyze data * Assist in developing reports ...

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All JobsData Analysis Intern JobsData Analysis Intern Jobs in Paramus, NJ

Data Analysis Intern information

See Paramus, NJ salary details

$12

$22

$42

How much do data analysis intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data analysis intern in Paramus, NJ is $22.77, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.81 per hour, depending on experience, location, and employer.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with data tools like Excel, SQL, and Python, and helps develop analytical skills valuable for future roles. It can enhance a resume, offer networking opportunities, and improve job prospects in data-related fields. The value depends on the internship's quality and the skills gained, but it generally offers meaningful industry exposure for entry-level candidates.

What would a data analysis intern do?

A data analysis intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may create reports or visualizations to communicate findings under supervision.

Can I do a data analysis intern internship?

Yes, a data analysis intern internship is typically available for students or entry-level candidates interested in developing skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Internships usually require relevant coursework or basic knowledge of data analysis concepts and may be part-time or summer positions.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

What are the key skills and qualifications needed to thrive as a data analysis intern, and why are they important?

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.
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Data Analysis Intern jobs near you
Infographic showing various Data Analysis Intern job openings in Paramus, NJ as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $47,367 per year, or $22.8 per hour.

Data Analytics & AI Intern / Analyst - Castle Park Investments

Castle Park Investments, LLC

Manhattan, NY • On-site

Full-time

Re-posted 3 days ago

Job description

Castle Park Investments is seeking a tech-driven analyst to join our data and technology team, reporting directly to Kutay Gozalan, VP of Data & Technology. This role is ideal for a current student, recent graduate, or early-career professional passionate about transforming real estate operations through data analytics and artificial intelligence.
We are open to candidates at various stages-whether you're a senior undergraduate, a graduate student, or a recent graduate ready to hit the ground running. For current students, we're looking for someone with a manageable course load who can commit approximately 20 hours per week (with some flexibility). For those who perform well, this internship is designed to convert into a full-time position.
You will play a pivotal role in enhancing our portfolio-wide KPI tracking, building machine learning pipelines, and leading the integration of AI tools to optimize processes across our 4,500+ unit portfolio spanning manufactured housing communities, RV resorts, and campgrounds in 9 states.
Key Responsibilities:
• Create data collection pipelines from property management systems into our cloud-hosted storage environment.
• Identify, pilot, and implement AI-powered tools to automate workflows in marketing, leasing, maintenance, and investor reporting. Be the internal champion for AI adoption across all departments.
• Build internal business intelligence tools, including automated Excel reports using SQL queries and custom live dashboards deployed through AWS CloudFront, leveraging AI-assisted coding tools.
• Deploy automated machine learning pipelines, supported by AI tools, to interpret and summarize data, surface trends, and enhance decision-making.
• Partner with operations, acquisitions, and investor relations teams to translate data insights into actionable business decisions.
Requirements
Qualifications:
• Current senior pursuing a Bachelor's degree, graduate student, or recent graduate in Data Science, Business Analytics, Computer Science or Engineering, or Software Engineering.
• For current students: ability to commit approximately 20 hours per week (flexible based on course load and availability).
• Strong analytical and problem-solving skills.
• Foundational experience with business intelligence tools such as Tableau, Power BI, Google Looker, or similar.
• Strong SQL and Python skills, including experience with API integrations and data analytics libraries such as Pandas and NumPy.
• Passion for AI and emerging technologies with a track record of self-driven learning and experimentation.
• Strong communication skills-ability to translate complex technical concepts for non-technical stakeholders.
• Self-starter mentality; thrives in fast-paced, entrepreneurial environments with minimal supervision.
Preferred Qualifications:
• Basic JavaScript knowledge and experience with front-end web development, ideally using Node.js.
• Experience using AI tools such as Claude Code to build BI tools or other applications.
• Familiarity with cloud computing, preferably on AWS.
• Experience working in IDEs like Visual Studio Code.
Benefits
• Be part of a fast-growing real estate investment platform that is redefining attainable housing across the U.S.
• Work hands-on with industry-leading AI and data-driven solutions applied directly to real estate ownership and operations.
• Collaborative, entrepreneurial environment with a clear path to full-time employment.
• Competitive compensation and benefits package.

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