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Data Analyst Intern Jobs in Ridgewood, NJ (NOW HIRING)

Inizio Partners Corp

Data Analyst

New York, NY · On-site +1

Key Responsibilities 1. Data Product Ownership & Quality Assurance * Own analytics-ready datasets and dashboards from requirements through delivery and adoption * Lead QA and UAT processes for new ...

MetroPlusHealth

Data Analyst

Manhattan, NY · Hybrid

$80K - $90K/yr

Reporting to the Director of Reporting Systems within the Analytics and Reporting Department, the position of Data Analyst performs in-depth analysis of healthcare data, supporting regulatory ...

Healthix, Inc.

Be Seen First

Data Analyst

New York, NY · On-site

$95K - $125K/yr

Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for ...

Jetro Restaurant Depot

Data Analyst

Whitestone, NY · On-site

We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science ...

Danaher

Digital Analyst Internships

Elizabeth, NJ

$99K - $117K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Danaher

Digital Analyst Internships

Flushing, NY

$102K - $121K/yr

As a Digital Analyst Intern, you'll work alongside a talented team focused on enhancing the digital experience for customers worldwide by analyzing data and documenting system workflows that power ...

Purple Drive Technologies

Data Analyst

New York, NY · On-site

We are seeking a detail-oriented Data Analyst with strong analytical, technical, and visualization skills. The ideal candidate will use data-driven insights to support decision-making, optimize ...

Konrad

Data Analyst

New York, NY · Hybrid

$75K - $100K/yr

About The Role As a Data Analyst, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You ...

Queens Public Library

Data Analyst

Queens, NY · On-site

$65K - $75K/yr

Reporting to the Senior Manager of Organizational Assessment, the Data Analyst is responsible for data collection, formatting, reporting, analysis, and visualization of data pertaining to Queens ...

Purple Drive Technologies

Data Analyst

Jersey City, NJ · On-site

We are seeking a detail-oriented Data Analyst with strong analytical, technical, and visualization skills. The ideal candidate will use data-driven insights to support decision-making, optimize ...

Sundaysky

Data Analyst

New York, NY

We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success. The ideal candidate approaches analysis as a path to ...

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All JobsData Analyst Intern JobsData Analyst Intern Jobs in Ridgewood, NJ

Data Analyst Intern information

See Ridgewood, NJ salary details

$12

$22

$42

How much do data analyst intern jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for data analyst intern in Ridgewood, 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.

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

As a Data Analyst Intern, you can expect to work on a variety of projects such as cleaning and organizing datasets, creating data visualizations, and supporting the analysis of business trends. You'll often be asked to assist in preparing reports, updating dashboards, and collaborating with team members from departments like marketing, finance, or product management. This hands-on experience provides exposure to real-world data challenges and the opportunity to develop technical skills using tools like Excel, SQL, or Python, while also learning how data-driven decisions are made within the organization.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analyst interns and professionals are still essential for interpreting results, making strategic decisions, and providing context. AI enhances productivity but does not fully replace the need for human judgment, critical thinking, and domain expertise in data analysis roles.

Can ISFJ be a data analyst?

ISFJ is a personality type from the Myers-Briggs Type Indicator and does not determine whether someone can be a data analyst. Success in a data analyst role depends on skills such as data interpretation, proficiency with tools like Excel or SQL, and analytical thinking, which can be developed regardless of personality type.

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

To thrive as a Data Analyst Intern, you need a solid understanding of statistics, data analysis, and proficiency in Excel or similar spreadsheet tools, often supported by coursework in data science or related fields. Familiarity with data visualization software like Tableau, and programming languages such as SQL or Python, is commonly expected. Strong attention to detail, problem-solving skills, and the ability to communicate findings clearly are standout soft skills for this role. These skills enable interns to extract actionable insights from data, support decision-making, and contribute meaningfully to business objectives.

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

AspectData Analyst InternData Scientist Intern
Required CredentialsTypically pursuing or recent graduate in data-related fields; basic knowledge of SQL, Excel, and data visualizationOften pursuing or recent graduate in data science or related fields; knowledge of programming (Python, R), machine learning, and statistical modeling
Work EnvironmentEntry-level, supporting data analysis tasks, reporting, and visualizationMore advanced projects involving predictive modeling, algorithms, and complex data analysis
Employer & Industry UsageCommon in tech, finance, marketing, and consulting firmsFound in tech, research, and analytics-driven industries

The main difference between a Data Analyst Intern and a Data Scientist Intern lies in the complexity of tasks and required skills. Data Analyst Interns focus on data cleaning, visualization, and reporting, while Data Scientist Interns handle advanced modeling and machine learning. Both roles are valuable entry points into data careers, with the Data Scientist Intern position typically requiring more technical expertise.

Is 20 an hour good for an internship?

For a Data Analyst Intern, earning $20 an hour is generally considered above average for internships, which often pay between minimum wage and $15 per hour. The pay can vary based on location, industry, and the intern's skills, but $20 per hour typically reflects a competitive rate for entry-level data analysis roles. Factors such as required skills in Excel, SQL, or Python and the internship's duration may also influence pay expectations.

What does a data analyst intern do?

A data analyst intern assists with collecting, cleaning, and analyzing data to support business decision-making. They often use tools like Excel, SQL, or Python and may help prepare reports or visualizations under supervision. The role provides hands-on experience in data management and analysis processes.
What are the most commonly searched types of Data Analyst jobs in Ridgewood, NJ? The most popular types of Data Analyst jobs in Ridgewood, NJ are:
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What cities near Ridgewood, NJ are hiring for Data Analyst Intern jobs? Cities near Ridgewood, NJ with the most Data Analyst Intern job openings:
Data Analyst Intern jobs near you

Data Analyst

WFN Team Indus US Test Client 2

Manhattan, NY • On-site

Full-time

Posted 10 days ago

Job description

About the Role:

As a Data Analyst at our Agriculture company, your main objective will be to analyze and interpret complex data sets to provide valuable insights and recommendations. You will be responsible for collecting, cleaning, and organizing large volumes of data from various sources. By utilizing your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau, you will create visually appealing and informative reports and dashboards. Your analysis will play a crucial role in identifying trends, patterns, and opportunities for improvement in our agricultural operations.

Minimum Qualifications:

  • Bachelor's degree in a relevant field such as Data Science, Statistics, or Mathematics.
  • Proven experience in data analysis and visualization.
  • Proficiency in data cleaning techniques and working with pivot tables.
  • Strong programming skills in R and familiarity with SAS.
  • Excellent problem-solving and critical thinking abilities.

Preferred Qualifications:

  • Master's degree in Data Science or a related field.
  • Experience in the agriculture industry or a similar field.
  • Knowledge of data extraction techniques and tools.
  • Familiarity with machine learning algorithms and predictive modeling.
  • Certifications in data analysis or related areas.

Responsibilities:

  • Collect, clean, and organize large volumes of data from multiple sources.
  • Analyze and interpret complex data sets to identify trends, patterns, and insights.
  • Create visually appealing and informative reports and dashboards using data visualization tools such as Power BI and Tableau.
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven recommendations.
  • Stay up-to-date with the latest industry trends and advancements in data analysis techniques.

Skills:

In this role, your expertise in data cleaning, pivot tables, R programming language, SAS, and data visualization tools such as Power BI and Tableau will be essential. You will use data cleaning techniques to ensure the accuracy and integrity of the collected data. Pivot tables will help you summarize and analyze large datasets efficiently. R programming language and SAS will be used for statistical analysis and modeling. Data visualization tools like Power BI and Tableau will enable you to create visually appealing reports and dashboards to communicate insights effectively. Your skills will be crucial in providing data-driven recommendations and identifying opportunities for improvement in our agricultural operations.