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

MetTel

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.

MetTel

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.

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.

Petco

Grooming Salon Manager

Brick, NJ · On-site

Recruit, hire, train, and supervise a team of entry-level trainees up to professional level ... productivity, analyze data to identify areas for improvement, and develop action plans

Petco

Grooming Salon Manager

Brick, NJ · On-site

Recruit, hire, train, and supervise a team of entry-level trainees up to professional level ... productivity, analyze data to identify areas for improvement, and develop action plans

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Manasquan, NJ

Entry Level Data Analyst information

See Manasquan, NJ salary details

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$32

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

As of Aug 9, 2026, the average hourly pay for entry level data analyst in Manasquan, NJ is $32.58, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $36.39 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 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.

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 Manasquan, NJ? The most popular types of Data Analyst jobs in Manasquan, NJ are:
What cities near Manasquan, NJ are hiring for Entry Level Data Analyst jobs? Cities near Manasquan, NJ with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Manasquan, NJ as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $67,763 per year, or $32.6 per hour.

Pricing Analyst

MetTel

Holmdel, NJ • On-site

$60K/yr

Full-time

Re-posted 15 days ago

Job description

We are seeking an entry-level Pricing Analyst with strong Excel skills, an analytical mindset, and a high level of attention to detail. As a Pricing Analyst you will analyze costs, collaborate with sales teams and suppliers, and ensure competitive, accurate proposals. 

ROLE AND RESPONSIBILITIES:

  • Prepare, review, and analyze data in Excel to support quoting, pricing, and reporting activities.
  • Ensure precision and accuracy in all deliverables, with a focus on meeting deadlines.
  • Collaborate with internal teams to process quoting requests and maintain workflow efficiency.
  • Track and validate pricing data to support consistency across the organization.
  • Assist with ad hoc reporting, data analysis, and process improvements.
  • Learn and adapt quickly to new tools, systems, and process

DESIRED QUALIFICATIONS:

  • Bachelor's degree in Business, Finance, Economics, Data Analytics, or a related field (or equivalent experience).
  • Proficiency in Microsoft Excel, including formulas, pivot tables, and lookups.
  • Strong analytical and problem-solving abilities.
  • Exceptional attention to detail and organizational skills.
  • Ability to work effectively under pressure in a fast-paced environment.
  • Strong communication skills and ability to work collaboratively across teams.
  • Demonstrate a willingness to work hard, learn quickly, and contribute to the team's overall success.

*The salary range reflected is a good faith estimate of base pay for the primary location of the position. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay for this position is up to $60,000 annually. Pay varies by work location and may also depend on job -related knowledge, skills, experience and abilities of the successful candidate. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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