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Entry Level Data Analyst Jobs in Jackson, NJ (NOW HIRING)

About the job Juni or Data Analyst (Remote) As the Data Analyst for the Security Analytics ... This is an entry level role requiring the individual to have the aptitude to learn and to ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... make data-driven recommendations for improvements Qualifications Bachelor's degree in Computer ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field ● 0-2 years of professional experience (personal projects ...

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... Data Science, or related field • 0-2 years of professional experience (personal projects ...

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.

... 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 ...

... 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 ...

We are offering a paid internship to an entry-level person looking to break into tech and startups ... Use SQL and dashboarding tools to perform data analysis to identify insights about events ...

FP&A Analyst

Edison, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

Analyze demand, inventory and forecasting data to identify trends and support business decisions ... entry-level positions to the C-suite. With units specializing in Accounting and Finance ...

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.

Pricing Analyst

Holmdel, NJ · On-site

$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.

FP&A Analyst

Edison, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

Accountant - Entry Level

New York, NY · On-site

$24.70 - $28.60/hr

We are looking for an entry-level Accountant to join a luxury hospitality organization in New York ... data across systems. • Use Excel to organize, analyze, and validate transaction details for ...

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Entry Level Data Analyst information

See Jackson, NJ salary details

$13

$32

$61

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

As of Jul 27, 2026, the average hourly pay for entry level data analyst in Jackson, NJ is $32.98, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $36.83 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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 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.

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.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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 the most commonly searched types of Data Analyst jobs in Jackson, NJ? The most popular types of Data Analyst jobs in Jackson, NJ are:
What cities near Jackson, NJ are hiring for Entry Level Data Analyst jobs? Cities near Jackson, NJ with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Jackson, NJ as of July 2026, with employment types broken down into 81% Full Time, 5% Part Time, 1% Temporary, and 13% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $68,590 per year, or $33 per hour.

Junior Data Analyst (Remote)

BEOVEXIS

New York, NY • Remote

Full-time

Posted 9 days ago


Job description

About the job Junior Data Analyst (Remote)

As the Data Analyst for the Security Analytics & Innovation team you will help in the development, deployment and administration of Analytical Products as well as Metrics & Reporting that supports the Security strategy, decision making and controls within the organization. To be successful you must be driven and well-organized, with strong learning abilities and be open to creative problem-solving activities. This is an entry level role requiring the individual to have the aptitude to learn and to participate in the activities related to cybersecurity incident response, support, and maintenance activities. If this sounds like you, please keep reading and apply!

Primary Responsibilities

  • Create and update policies/procedures and system documentation as it relates to existing and new Analytical products, Metrics & Reporting packages, and Security Controls Map process flows from end to end for research purposes
  • Organize and maintain a Metrics & Reporting Inventory
  • Manage successful Metrics & Reporting Delivery
  • Perform ad-hoc Analysis that contributes to strategy and decision making
  • Aid team supporting Automation maturity efforts
  • Assist with researching Security platform systems and processes
  • Maintain up-to-date knowledge on policies and procedures
  • Work individually and with your team to meet and exceed established goals
  • Schedule and facilitate meetings as needed

Job Requirements

  • High School/GED AND two years of Administrative support experience OR Equivalent education/experience.
  • Experience with programming languages such as Python, R Studio, SQL
  • Familiarity in working with structured and unstructured data sources
  • Excellent verbal and written communications; ability to explain project risks and issues, research analysis, and technical concepts clearly and concisely
  • Highly motivated with strong organizational, analytical, decision making, and problem-solving skills
  • Ability to build strong partnerships and to work collaboratively with all business and technical areas.

Working Place:

New York City, NY