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Entry Level Data Analyst Jobs in New York (NOW HIRING)

MetTel

Pricing Analyst

Holmdel, NJ

$60K/yr

We are seeking an entry-level Pricing Analyst with strong Excel skills, an analytical mindset, and ... Prepare, review, and analyze data in Excel to support quoting, pricing, and reporting activities.

KBRA

Data Steward - Data Operations (NY)

New York, NY · Hybrid

$75K - $90K/yr

  • Retirement

  • PTO

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

KBRA

Data Steward - Data Operations (NY)

New York, NY · On-site

$75K - $90K/yr

  • Retirement

  • PTO

... entry-level responsibilities and are capable of independently processing both standard and complex ... Research, analyze, and resolve atypical data scenarios that require judgment beyond documented ...

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 ...

Gain America

Entry Level Business Analyst

Hicksville, NY · On-site

$55K/yr

Required Skills SQL, Analytical, Ability to take instructions, and write quality documentation ... You will model data in order to create reporting infrastructure/dashboards for business process ...

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Entry Level Data Analyst information

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$14

$36

$67

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

As of Aug 18, 2026, the average hourly pay for entry level data analyst in New York is $36.02, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $40.24 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

More about Entry Level Data Analyst jobs

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

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For Entry Level Data Analyst jobs in New York, the most frequently searched job titles are:

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Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $74,927 per year, or $36 per hour.

Entry Level Business Analyst

Data Cloud Merge

New York, NY • On-site

Full-time

Re-posted 27 days ago

Job description

Company Description

Data Cloud Merge is a communications Company that was established in the year 2002 and located in Jersey City, New Jersey. It has gained a lot of experience in providing innovations in IT that were formerly found in large companies alone. The Company provides dedicated IT innovations at friendly prices unlike other companies that operate on big budgets. It was established with the objective of serving the private sector with these innovations through their dedicated departments of IT.

Job Description
  • Create and maintain business requirements, process flows, use cases, and gap analysis in a Waterfall environment.
  • Create a Business Requirements Document (BRD), Functional Requirements Document (FRD), analyze data/workflows and define the scope.
  • Participate in Gap Analysis to identify the current system's deficiencies and the requirements for the changes in the proposed system.
  • Conduct JAD sessions to develop a business solution that application meets business requirements, resolve open issues, and change requirements.
  • Create and configure new JIRA projects and worked with departments to maintain existing JIRA projects.
Qualifications
  • Master's/Bachelor's in Science, Engineering, Information Management, or a related field is highly desirable.
  • Knowledge of all SDLC phases, including requirements gathering, documenting, and testing.
  • Demonstrated ability to quickly learn new business and technical concepts in a fast-paced service-focused environment.
  • Excellent analytical reasoning, problem-solving, time management, and organizational skills.
Additional Information

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