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

The Analyst, Global Data Manager (GDM) is a professional individual contributor role at entry level that will provide oversight and accountability and/or execute data management activities and/or ...

Data Entry/ Research Specialist

Wayne, PA

$15.50 - $20.50/hr

This is an entry level position and isresponsible for onboarding new customers through internal ... Must be detail oriented and have above average multi-tasking, analytical and decision-making skills.

Data Entry/ Research Specialist

Wayne, PA

$15.50 - $20.50/hr

This is an entry level position and isresponsible for onboarding new customers through internal ... Must be detail oriented and have above average multi-tasking, analytical and decision-making skills.

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Entry Level Data Analyst information

See Riverside, NJ salary details

$13

$33

$62

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

As of Jul 31, 2026, the average hourly pay for entry level data analyst in Riverside, NJ is $33.26, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.16 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 Riverside, NJ? The most popular types of Data Analyst jobs in Riverside, NJ are:
What cities near Riverside, NJ are hiring for Entry Level Data Analyst jobs? Cities near Riverside, NJ with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Riverside, NJ as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $69,172 per year, or $33.3 per hour.

Analyst, Global Data Manager (1 of 3)

Johnson & Johnson

Spring House, PA • On-site

Full-time

Retirement, PTO

Posted 16 days ago


Johnson & Johnson rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

31st of 86 rated pharmaceutical


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Clinical Data Management

Job Category:

Professional

All Job Posting Locations:

Horsham, Pennsylvania, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine R&D is recruiting for an Analyst, Global Data Manager. This position is a hybrid role and can be located in Spring House, PA; Horsham, PA; Raritan, NJ; or Titusville, NJ.

The Analyst, Global Data Manager (GDM) is a professional individual contributor role at entry level that will provide oversight and accountability and/or execute data management activities and/or perform scientific data review for one or more trials of low to moderate complexity. The Analyst, GDM will make recommendations and influence decisions for specific trials or assignments. This individual will analyze and provide input into decisions with direction from a manager or Data Management Leader (DML). This position receives ongoing direction to achieve objectives, and work is reviewed on a regular basis with the DML.

Principal Responsibilities:

  • Work with external suppliers, trial customers and other internal/external partners to establish, align and confirm data management and/or clinical data management expectations to the business for assigned trial(s) to include but not limited to:

    • Gather and/or review content and integration requirements for Electronic Code of Federal Regulations (eCFR) and other data collection tools.

    • Participate in establishing conventions and quality expectations for clinical data.

    • Participate in establishing expectations for dataset content and structure.

    • Work with others to set timelines and follow-up regularly to monitor delivery of all data management milestones.

  • Review clinical data management documents (including submission package) for appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency. Work with DML to facilitate compliance with regulatory guidelines and the documentation matrix.

  • Work with DML to facilitate real-time inspection readiness of all assigned deliverables for the trial. Participate in regulatory agency inspections and Johnson & Johnson internal audits as necessary.

  • Work with DML to plan and track content, format, quality, and timing of applicable data management deliverables. Work with DML to ensure deliverables are on time.

  • Support the assigned clinical working group(s) to ensure that DM and TA trial needs and deliverables are met.

  • Identify and communicate lessons learned with support from DML and frequently asked questions at trial level.

  • Contribute to the creation of key functional plans (e.g., study Integrated Review Plan) ensuring appropriate quality, scientific content, organization, clarity, accuracy, format, and consistency.

  • Participate in process, system, and tool improvement initiatives.

  • Perform trial level oversight controls and/or execute data management activities per applicable procedures, with DML direction.

Qualifications:

  • A minimum of a Bachelor's degree is required, preferably in Clinical Data Management, Life Sciences or Computer Sciences.

  • Clinical data management experience is preferred.

  • Knowledge of scientific concepts presented in clinical trial protocols is preferred.

  • Experience in clinical drug development within the pharmaceutical industry, Contract Research Organization (CRO) or related industry is preferred.

  • Knowledge of applicable international guidelines regarding data management of clinical trials is preferred.

  • Knowledge of current industry standards (e.g., Clinical Data Interchange Standards Consortium (CDISC), Study Data Tabulation Model (SDTM), Clinical Data Acquisition Standards Harmonization (CDASH), etc.) is preferred.

  • Knowledge of technology platforms for data exchange and project management is preferred.

  • Must have excellent verbal and written communication skills.

  • Must have the ability to adapt to a rapidly changing organization and business environment.

  • The ability to collaborate with all levels of management in a cross-functional team environment is preferred.

  • This position will require up to 10% travel.

#LI-Hybrid

Required Skills:

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Biostatistics, Business Behavior, Clinical Data Management, Clinical Operations, Cross-Functional Collaboration, Database Applications, Data Privacy Standards, Data Savvy, Execution Focus, Good Clinical Practice (GCP), Process Oriented, Project Support, Report Writing, Standard Operating Procedure (SOP)

The anticipated base pay range for this position is :

$76,000.00 - $121,900.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

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