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Junior Data Analyst Jobs in Riverside, NJ (NOW HIRING)

Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices. * Participates ...

Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices. * Participates ...

Trains and develops junior analysts. Core Responsibilities 1. Engages with internal partners to ... data to surface trends and insights using advanced analytical methods. Validates analytical ...

Trains and develops junior analysts. Core Responsibilities 1. Engages with internal partners to ... data to surface trends and insights using advanced analytical methods. Validates analytical ...

To execute and analyze a wide variety of complex data exception reports, quality control queries, and periodic reports in a timely and accurate manner. Proactively engages and works collaboratively ...

Senior Data Analyst

Malvern, PA · On-site

$84K - $106K/yr

Mentors, coaches, trains, and develops junior data analysts. Proactively expands knowledge of business and analytics and shares with team members. Shares and documents best practices. * Participates ...

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Junior Data Analyst information

See Riverside, NJ salary details

$34.8K

$80.1K

$128.8K

How much do junior data analyst jobs pay per year?

As of Jul 31, 2026, the average yearly pay for junior data analyst in Riverside, NJ is $80,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $82,300.00 per year, depending on experience, location, and employer.

What are Junior Data Analysts?

Junior Data Analysts are entry-level professionals who collect, process, and perform basic analysis on data to help organizations make informed decisions. They typically work under the supervision of senior analysts, assisting with data cleaning, creating reports, and visualizing findings. Their responsibilities often include using tools like Excel, SQL, and data visualization software to interpret data trends and support business objectives. This role is ideal for individuals looking to start a career in data analytics and usually requires strong analytical skills and attention to detail.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

What do junior data analysts do?

Junior data analysts collect, organize, and analyze data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and support senior analysts by preparing reports and identifying trends. This role typically requires strong analytical skills and attention to detail, with opportunities for skill development and learning on the job.

Is 40 too late for data science?

A Junior Data Analyst role typically requires foundational skills in data analysis, programming, and tools like Excel, SQL, or Python. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications and experience.

What are some common challenges faced by Junior Data Analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

Can I be a data analyst with no experience?

Junior data analyst roles often require some familiarity with data analysis tools like Excel, SQL, or Python, but many employers are open to candidates with little to no professional experience if they demonstrate strong analytical skills and a willingness to learn. Entry-level positions may also provide on-the-job training or require relevant coursework or certifications. Building a portfolio of projects or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

What are the key skills and qualifications needed to thrive as a Junior Data Analyst, and why are they important?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What Does a Junior Data Analyst Do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What is the salary for junior data analysts?

The salary for a junior data analyst typically ranges from $50,000 to $70,000 annually, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, and basic data visualization software.
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 job categories do people searching Junior Data Analyst jobs in Riverside, NJ look for? The top searched job categories for Junior Data Analyst jobs in Riverside, NJ are:
What cities near Riverside, NJ are hiring for Junior Data Analyst jobs? Cities near Riverside, NJ with the most Junior Data Analyst job openings:
Infographic showing various Junior 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 $80,145 per year, or $38.5 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Overview

Title of Position: Junior Data Analyst

Location: Fairless Hills, PA (Fully On-Site)

Industry Leading Benefits: Medical, Prescription, Dental, Vision, 401K, Pension, Short- and Long-Term Disability, Life Insurance, Tuition Reimbursement.

Silvi Materials has been expanding our "A" Team of employees since 1947! Our team has grown to 15+ companies, employing over 950 people across 30+ locations in Southeastern Pennsylvania, New Jersey, and North Carolina.  Silvi is large enough to provide the stability you need, but small enough that you can feel your individual contribution to our success.  We value the fresh ideas and perspectives of each new member of our team.

What does Silvi Materials offer you, you may ask?

  • Phenomenal Benefits: Medical, Vision, Dental, Prescription, Vacation, Paid Holidays, and so much more!
  • Your future in mind: With 401(k) (at select locations) and/or pension options. We want all employees to build a great retirement!
  • Growth at Silvi Materials: We offer each employee the opportunity to move into any facet of our complex business. And our tuition reimbursement program is the perfect springboard to help you get there!

So, what does a Junior Data Analyst do?

A Junior Data Analyst extracts, migrates, cleanses, and organizes raw data to ensure accuracy for business intelligence needs. Key responsibilities include data querying, validation, database maintenance, and dashboards development to support team insights.

Key Responsibilities

  • Data Cleaning and Transformation: Clean, interpret, organize, and validate data to ensure accuracy and consistency multiple sources.
  • Database Management: Utilize tools such as SQL and/or Python to query, extract, and maintain databases.
  • Quality Assurance: Identify and resolve data inconsistencies or missing information.  Communicate data validation activities, monitor data quality, and coordinate remediation plans to maintain the accuracy of integrated data.
  • Reporting and Visualization: Conduct data analyses using statistical techniques and data visualization tools.  Identify patterns, trends, and correlations in datasets.  Create and update dashboards, charts, and reports to communicate findings.
  • Documentation: Develop detailed documentation of data processes/flows, decisions, and configurations to meet compliance and training requirements.
  • Collaboration: Partner with technical and functional stakeholders to align data activities with business objectives.
  • Manage deliverables in accordance with project plans.
  • Contribute to the development and review of Standard Operating Procedures (SOPs), ensuring data practices adhere to organizational standards and requirements.
  • Effectively collaborate with stakeholders by translating technical terminology and processes; support drive data driven decision making.
  • Contribute to the development of a complete data lake and/or data warehouse solution.
  • Support the continuous improvement of data quality and data management processes.

Qualifications & Experience

  • Education: Bachelor's degree in Information Systems, Computer Science, Mathematics, Statistics, Business Administration, Engineering or a related field is required.
  • Technical Proficiency:Proficiency in SQL and Excel is required, with experience in Python or R preferred.  Knowledge of InterBase scripting is a plus.
  • Analytical Skills:Ability to troubleshoot complex software issues and analyze data to guide decision-making.
  • Understanding of visualization tools such as Power BI.
  • Experience supporting complex system implementations or upgrades is a plus.
  • Ability to collect, organize, and analyze large datasets is a plus.
  • Excellent problem-solving abilities, time management skills, and attention to detail.
  • Experience with ITSM systems like DevOps or Jira is a plus.
  • Experience with data warehouses and/or data lakes is a plus.
  • Knowledge and use of the Microsoft Office Suite is required.
  • Ability to effectively manage multiple priorities in a dynamic environment.

Physical Demands

In a typical work setting, people in this job:

  • Use hands/fingers to type and move office objects
  • Sit for long periods of time
  • Hear sounds and recognize the difference between them
  • See details of objects that are less than a few feet away and far distances
  • See differences between colors, shades, and brightness.
  • Lift 20 pounds on occasion
  • Kneel, stoop, crouch, bend, stretch, twist or crawl, on occasion

Silvi Materials does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor

Employment Type: FULL_TIME