ZipRecruiter

Log In

2

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

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 ...

next page

Showing results 1-20

All JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Ridgewood, NJ

Entry Level Data Analyst information

See Ridgewood, NJ salary details

$13

$33

$62

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

As of Jul 1, 2026, the average hourly pay for entry level data analyst in Ridgewood, NJ is $33.31, 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.

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.
More about Entry Level Data Analyst jobs
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:
What are popular job titles related to Entry Level Data Analyst jobs in Ridgewood, NJ? For Entry Level Data Analyst jobs in Ridgewood, NJ, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Ridgewood, NJ look for? The top searched job categories for Entry Level Data Analyst jobs in Ridgewood, NJ are:
What cities near Ridgewood, NJ are hiring for Entry Level Data Analyst jobs? Cities near Ridgewood, NJ with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Entry-Level Business Analyst

Entry-Level Business Analyst

Dhalite Inc.

Jersey City, NJ • On-site

Other

Posted 22 days ago

Job description

Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.Job Brief

We are looking for a Business Analyst who will act as the key link between our business objectives and IT capabilities. The candidate will support the successful completion of analysis, development, testing, and deployment of software product features while ensuring business requirements are clearly defined and implemented.

Responsibilities

  • Define business analysis requirements and configuration specifications.
  • Perform quality assurance and assist in testing activities.
  • Define reporting and alerting requirements for business processes.
  • Build and maintain relationships with partners and stakeholders to enhance system integrations.
  • Help design, document, and maintain system processes and workflows.
  • Identify common technical issues and provide recommendations to the product team.
  • Communicate key insights, findings, and data-driven recommendations to stakeholders.
  • Continuously identify opportunities to improve system monitoring and customer value.

Requirements and Skills

  • Bachelor s degree in Business, Information Systems, Computer Science, or related field.
  • Previous experience in Business Analysis, Systems Analysis, or Quality Assurance is preferred.
  • Proven ability in requirement gathering, analysis, and testing.
  • Experience analyzing data and creating business insights using data visualization tools.
  • Basic knowledge of SQL for data analysis
  • Basic experience in process documentation and system documentation.

Apply