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

About You We are looking for a detail-oriented, highly organized Entry-Level Financial Analyst to ... Present data-driven recommendations to the finance team based on variance analysis and special ...

Junior Product Analyst

Newark, NJ · On-site

$27.75 - $37/hr

... Analysis. Qualifications * Bachelor''s degree in Business, Computer Science, Information Systems, Data Analytics, Engineering, or a related field. * 0-2 years of relevant experience. * entry level ...

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

Accountant - Entry Level

Ramsey, NJ · On-site

$20.90 - $24.20/hr

... analysis. * Participate in finance-related operational updates and assist with process-related ... Basic proficiency in Microsoft Excel, including spreadsheets, data entry, and simple formulas.

Exhibits strong work ethic, positive attitude, and general enthusiasm for the work. * Entry level data evaluation and analytical skills. Essential Duties * Field Activities: * Assists other technical ...

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Entry Level Data Analysis information

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

As of Sep 14, 2026, the average hourly pay for entry level data analysis 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.

What is an entry level data analyst?

An entry level data analyst is a professional who collects, processes, and performs basic analysis on data to help organizations make informed decisions. They typically work with tools like Excel, SQL, or data visualization software to organize and interpret data sets. Entry level analysts focus on tasks such as cleaning data, creating reports, and identifying trends, usually under the supervision of more experienced analysts. This role is ideal for recent graduates or individuals starting their career in data analysis.

What are some common challenges entry-level data analysts face when starting out, and how can they overcome them?

Entry-level data analysts often encounter challenges such as learning new data tools, understanding unfamiliar datasets, and translating business questions into analytical tasks. It's common to feel overwhelmed by the variety of software (like Excel, SQL, or Python) and the pace of real-world projects. To overcome these hurdles, new analysts should proactively seek mentorship, participate in team discussions, and take advantage of online resources or internal training. Regular collaboration with colleagues and asking clarifying questions can help build confidence and ensure successful project contributions.

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 foundational knowledge in statistics, data interpretation, and a relevant degree such as in mathematics, economics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong analytical thinking, problem-solving abilities, and clear communication help you extract meaningful insights and present findings effectively. These skills are crucial for transforming raw data into actionable information that supports informed business decisions.

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

AspectEntry Level Data AnalysisData Analyst
Required CredentialsAssociate's degree or relevant certificationBachelor's degree often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time positions in various industries
Employer & Industry UsageStart of career, learning phaseMid-level roles, more responsibilities
Common Search & Comparison IntentUnderstanding entry-level opportunitiesAdvancement and skill development

Entry Level Data Analysis roles are designed for beginners with minimal experience, focusing on learning foundational skills. Data Analysts typically have more experience, handle complex data projects, and contribute to strategic decision-making. The main difference lies in experience level, responsibilities, and career progression.

What are the most commonly searched types of Data Analysis jobs in Ridgewood, NJ?

The most popular types of Data Analysis jobs in Ridgewood, NJ are:

What job categories do people searching Entry Level Data Analysis jobs in Ridgewood, NJ look for?

The top searched job categories for Entry Level Data Analysis jobs in Ridgewood, NJ are:

What cities near Ridgewood, NJ are hiring for Entry Level Data Analysis jobs?

Cities near Ridgewood, NJ with the most Entry Level Data Analysis job openings:

Infographic showing various Entry Level Data Analysis job openings in Ridgewood, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,294 per year, or $33.3 per hour.

Entry Level Business Analyst

New York, NY • On-site

Full-time

Re-posted 25 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
Describe your perks and culture