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Entry Level Data Analyst Opt Jobs in Paramus, NJ

KPMG US

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

... data analysis; familiarity with LLMs and frameworks like LangChain is preferred • Exposure to ... J-1, OPT, CPT or any other employment-based visa) Preferred : • Master's degree from an ...

Hadronts

Entry Level Java developer

Jersey City, NJ

... to work with you. Entry Level Java developer We are looking for a motivated and confident ... Perform data analysis to support internal and external project needs. Design basic programs for ...

TransUnion

Financial Analyst

White Plains, NY

We help clients maximize the value of data and analytics to allocate and align resources to ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

New

Transunion

Financial Analyst

White Plains, NY

We help clients maximize the value of data and analytics to allocate and align resources to ... You can also opt into alegal plan,pet insurance, andtravel accident coverage. For Your Family

New

Robert Half

Accountant - Entry Level

Saddle Brook, NJ · On-site

$21.85 - $25.30/hr

We are looking for an entry-level AML Analyst to support day-to-day compliance and financial crime ... Review and analyze large amounts of financial and customer data to identify unusual patterns or ...

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How much do entry level data analyst opt jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for entry level data analyst opt in Paramus, NJ is $33.32, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $37.21 per hour, depending on experience, location, and employer.

What is an entry level data analyst OPT?

An Entry Level Data Analyst OPT is a recent graduate who is authorized to work in the United States under the Optional Practical Training (OPT) program, typically after completing a degree in a field related to data analysis. These analysts are responsible for collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, and basic statistical software, and work under the guidance of more experienced data professionals. OPT allows international students to gain practical work experience in their field of study for up to 12 months (or 36 months for STEM majors).

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need a solid background in statistics, data interpretation, and proficiency with spreadsheet software, often supported by a bachelor's degree in a related field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These skills and qualities are essential for accurately analyzing data, generating actionable insights, and clearly presenting findings to support business decisions.

What are some common challenges faced by entry level data analysts and how can they be overcome?

Entry-level data analysts often encounter challenges such as working with incomplete or messy datasets, learning new analytical tools, and effectively communicating findings to non-technical stakeholders. To overcome these hurdles, it's helpful to develop strong data cleaning and preprocessing skills, seek mentorship from experienced colleagues, and practice translating data insights into clear, actionable recommendations. Embracing continuous learning and collaborating closely with team members from various departments can also accelerate your growth and confidence in the role.

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Entry Level Data Analyst Opt jobs near you

Data Scientist- Associate

KPMG US

Montvale, NJ • On-site

$61K - $62K/yr

Full-time

Posted 9 days ago

Job description

Job Summary:
KPMG is a renowned company providing audit, tax, and advisory services across important industries. They are currently seeking a Data Scientist to join their Audit Technology Alliance organization, focusing on developing generative AI solutions and collaborating with teams to enhance technology applications.
Responsibilities:
• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred
• Familiarity with LLMs and frameworks like LangChain is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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