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Internship Data Analyst Opt Jobs in Edison, NJ (NOW HIRING)

Fortune

Marketing Data and Analytics Engineer

New York, NY · On-site

$94K - $117K/yr

CAN-SPAM, GDPR, and opt-in/opt-out data integrity across all marketing sends Analytics & Measurement * Build and maintain reporting frameworks for email performance, audience health, list growth, and ...

Judge Group, Inc.

Data Analytics- II

Bridgewater, NJ · On-site

$50 - $52/hr

... Analyst/Engineer- II Working Model: Hybrid - 3 days in office per week but this can be slightly ... Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

LHi Group Ltd

Data Engineer

Woodbridge, NJ · On-site

$88K - $105K/yr

... Analytics, Computer Science, or a related field; internships and academic projects are considered * Foundational knowledge of SQL , including joins, filtering, aggregations, and querying relational ...

New

Lawrence Harvey

Data Engineer

Iselin, NJ · On-site

$88K - $105K/yr

... Analytics, Computer Science, or a related field; internships and academic projects are considered * Foundational knowledge of SQL , including joins, filtering, aggregations, and querying relational ...

New

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All JobsData Analyst Opt JobsInternship Data Analyst Opt JobsInternship Data Analyst Opt Jobs in Edison, NJ

Internship Data Analyst Opt information

See Edison, NJ salary details

$12

$23

$43

How much do internship data analyst opt jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for internship data analyst opt in Edison, NJ is $23.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

What is the difference between Internship Data Analyst Opt and Data Analyst?

AspectInternship Data Analyst OptData Analyst
Required CredentialsTypically pursuing or recent graduate, some certificationsOften requires a bachelor's degree, certifications like SQL or Excel
Work EnvironmentInternship setting, learning-focused, entry-levelFull-time, professional environment, more responsibilities
Employer & Industry UsageInternship programs in various industriesFull-time roles across industries like finance, healthcare, tech

The Internship Data Analyst Opt is an entry-level, learning-focused position often held by students or recent graduates, while a Data Analyst is a full-time professional role requiring more experience and responsibilities. Both roles are common in similar industries and may require basic data skills, but the internship is designed as a stepping stone to a full analyst position.

What are the key skills and qualifications needed to thrive as an internship data analyst opt?

To thrive as an Internship Data Analyst, you need a solid grasp of statistics, data analysis, and proficiency in spreadsheet and database tools, often supported by coursework in data science or related fields. Familiarity with programming languages such as Python or R, data visualization tools like Tableau, and Excel is commonly required. Strong problem-solving skills, attention to detail, and effective communication set outstanding candidates apart. These abilities are crucial for accurately interpreting data, drawing actionable insights, and clearly presenting findings to support business decisions.

What is an internship data analyst opt?

An Internship Data Analyst OPT is a student or recent graduate, typically on Optional Practical Training (OPT) status, who works in a temporary internship role focused on data analysis. Their responsibilities include collecting, processing, and interpreting data to help organizations make informed decisions. These internships provide practical experience in data analysis tools and techniques, often using software like Excel, SQL, or Python. It is a valuable opportunity for international students in the U.S. to gain real-world experience in their field of study.

What kinds of projects or tasks can an internship data analyst opt expect to work on during their internship?

As an Internship Data Analyst Opt, you can expect to work on projects such as data cleaning, preparing reports, visualizing data trends, and supporting more senior analysts with ad hoc analyses. Interns often participate in team meetings to present findings and collaborate with colleagues from different departments, such as marketing or finance, to help solve real business problems. This hands-on experience not only strengthens technical skills but also provides insight into how data-driven decisions are made within an organization. Additionally, you'll likely use tools like Excel, SQL, or Python, gaining practical exposure to industry-standard technologies.
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Internship Data Analyst Opt jobs near you

Sr Data Scientist with AI(FT role- NO OPT/CPT)

Apetan Consulting llc

Parsippany, NJ • Remote

$80 - $150/hr

Contractor

Re-posted 21 days ago

Job description

Position: Sr Data Scientist with AI((NO OPT/CPT)
Location: NJ – Remote
Type – Full Time
Job Description-:

  • Data Collection & Cleaning
  • Gather structured/unstructured data from databases, APIs, or external sources, then clean and preprocess it for analysis.
  • Exploratory Data Analysis (EDA)
  • Identify patterns, trends, and anomalies using statistical techniques and visualization tools.
  • Model Development
  • Build and train machine learning or AI models (e.g., regression, classification, clustering, deep learning).
  • AI/ML Implementation
  • Apply techniques from Machine Learning and Artificial Intelligence to solve business problems like prediction, recommendation, or automation.
  • Feature Engineering
  • Transform raw data into meaningful features that improve model performance.
  • Model Evaluation & Optimization
  • Test models using metrics (accuracy, precision, recall, etc.) and improve them.
  • Deployment & MonitoringWork with engineers to deploy models into production and monitor performance over time.
  • Communication
  • Translate complex results into actionable insights for stakeholders using dashboards, reports, or presentations.

Key Skills Required

Technical Skills

Programming: Python, R, SQL

Libraries/Frameworks: TensorFlow, PyTorch, Scikit-learn

Data Visualization: Matplotlib, Seaborn, Power BI, Tableau

Big Data Tools: Spark, Hadoop

Knowledge of Statistics and Linear Algebra

AI-Specific Skills

Deep learning, NLP, computer vision

Understanding of neural networks and optimization techniques

Familiarity with model deployment (MLOps basics)

Education & Background

Bachelor’s or Master’s in fields like:

Computer Science

Data Science

Mathematics / Statistics

Engineering

Certifications or hands-on projects in AI/ML are highly valued.