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

Data Analyst . Duration: 3+ Years Location: Brooklyn, New York 11201. REQ ID: 06022017-2DA PROJECT SCOPE: NYCERS seeks at minimum two (2) Data Analysts to work with the Information Technology (IT) ...

Data Analyst

Manhattan, NY · On-site

$90K - $125K/yr

Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for ...

Hybrid Data Analyst Contact Center Analytics & Conversational Intelligence (BPO) This is a Hybrid-Remote position where you must be available to work in-office 3 days a week in either our Southington ...

Data Analyst

Manhattan, NY · On-site

$90K - $125K/yr

Data Analyst REPORTS TO: Director of Data Strategy and Reporting DEPARTMENT: IT HOURS: 40 Hours FLSA STATUS: Exempt SALARY: $90k-125k POSITION SUMMARY: The Data Analyst provides the foundation for ...

Key Responsibilities 1. Data Product Ownership & Quality Assurance * Own analytics-ready datasets and dashboards from requirements through delivery and adoption * Lead QA and UAT processes for new ...

Data Analyst

Manhattan, NY · Hybrid

$80K - $90K/yr

Reporting to the Director of Reporting Systems within the Analytics and Reporting Department, the position of Data Analyst performs in-depth analysis of healthcare data, supporting regulatory ...

We seek a highly motivated, technically proficient and business savvy data scientist for our growing analytics function. You will have the opportunity to work on a variety of interesting data science ...

Data Analyst

Queens, NY · On-site

$65K - $75K/yr

Reporting to the Senior Manager of Organizational Assessment, the Data Analyst is responsible for data collection, formatting, reporting, analysis, and visualization of data pertaining to Queens ...

We are seeking a detail-oriented Data Analyst with strong analytical, technical, and visualization skills. The ideal candidate will use data-driven insights to support decision-making, optimize ...

Data Analyst

Brooklyn, NY · Hybrid

$100K - $120K/yr

Our client, a technology company in the music and entertainment space, is seeking a Data Analyst to join their growing team. This role will involve collecting and analyzing large datasets to gather ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

YUPRO Placement Data Analyst This is a contract opportunity. This is a remote opportunity. About this Position Join a fast-paced Product Operations team focused on improving product reliability ...

Data Analyst

New York, NY · Hybrid

$75K - $100K/yr

About The Role As a Data Analyst, you are an early-to-mid career analytics professional with a strong foundation in data analysis and a desire to grow your technical and consulting skill set. You ...

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Junior Data Analyst information

See Rutherford, NJ salary details

$35.2K

$80.9K

$130K

How much do junior data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for junior data analyst in Rutherford, NJ is $80,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,100.00 and $83,100.00 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 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.

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 are the most commonly searched types of Data Analyst jobs in Rutherford, NJ? The most popular types of Data Analyst jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Junior Data Analyst jobs? Cities near Rutherford, NJ with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Rutherford, NJ as of May 2026, with employment types broken down into 95% Full Time, 2% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution, with an average salary of $80,894 per year, or $38.9 per hour.

$1K - $2K/yr

Full-time

Posted yesterday


Job description

About the Role:

The Data Analyst will play a crucial role in transforming raw agricultural data into actionable insights that drive decision-making and improve operational efficiency. This position involves analyzing complex datasets to identify trends, patterns, and anomalies that can inform strategic initiatives within the agriculture sector. The successful candidate will collaborate with cross-functional teams to ensure data integrity and accuracy, enabling the organization to leverage data for enhanced productivity and sustainability. Additionally, the Data Analyst will be responsible for creating compelling visualizations and reports that communicate findings to stakeholders at all levels. Ultimately, this role is essential for fostering a data-driven culture within the organization and supporting its mission to innovate in the agricultural industry.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Agriculture, or a related field.
  • Proven experience in data analysis and data visualization tools such as Power BI and Tableau.
  • Strong proficiency in R and SAS programming languages.

Preferred Qualifications:

  • Experience in the agriculture industry or related fields.
  • Familiarity with advanced data analysis techniques and machine learning algorithms.
  • Knowledge of database management systems and SQL.

Responsibilities:

  • Collect, clean, and preprocess agricultural data from various sources to ensure high-quality datasets.
  • Utilize statistical tools and programming languages such as R and SAS to perform data analysis and generate insights.
  • Create and maintain interactive dashboards and visualizations using Power BI and Tableau to present data findings to stakeholders.
  • Collaborate with agronomists and other team members to understand data requirements and provide analytical support for ongoing projects.
  • Conduct regular data audits and implement data cleansing processes to maintain data accuracy and reliability.

Skills:

The required skills in data cleaning and data extraction are essential for ensuring that the datasets used for analysis are accurate and reliable. Proficiency in pivot tables and data visualization tools like Power BI and Tableau allows the Data Analyst to create insightful reports that effectively communicate findings to stakeholders. The use of R and SAS programming languages is critical for performing complex statistical analyses and modeling. Daily work will involve collaborating with team members to understand their data needs, which requires strong communication and problem-solving skills. Preferred skills, such as familiarity with machine learning algorithms, can enhance the analyst's ability to derive deeper insights and contribute to innovative projects.