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Part Time Data Analyst Jobs in Secaucus, NJ (NOW HIRING)

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data. Responsibilities: The Data Analyst (Remote) will:

netx

Data Analyst

New York, NY

Data Analyst - part time Netx is a great place to work - we think you're going to love it here. We pride ourselves on having a great team and fun work environment while doing great work for our ...

Fora

Senior Data Analyst, Marketing

New York, NY · On-site

$120K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... or part-time. The same idea shapes how we work. We're mission-driven and obsessed with our ... About the Role Fora is looking for a Senior Data Analyst, Marketing to join our growing Data team ...

YO AI Labs

AI Data Scientist - Remote

New York, NY · Remote

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... No prior AI experience is required--your data science expertise, analytical thinking, and ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Secaucus, NJ

Part Time Data Analyst information

See Secaucus, NJ salary details

$34.6K

$84K

$138.3K

How much do part time data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for part time data analyst in Secaucus, NJ is $84,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $98,600.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Secaucus, NJ?

The most popular types of Data Analyst jobs in Secaucus, NJ are:

What are popular job titles related to Part Time Data Analyst jobs in Secaucus, NJ?

For Part Time Data Analyst jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Part Time Data Analyst jobs in Secaucus, NJ look for?

The top searched job categories for Part Time Data Analyst jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Part Time Data Analyst jobs?

Cities near Secaucus, NJ with the most Part Time Data Analyst job openings:

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $84,019 per year, or $40.4 per hour.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Re-posted 2 days ago

Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized

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