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

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:

For candidates with the right background, projects may include data analytics and insights using SQL. Key Responsibilities * Assist with event research to identify and validate key data inputs for AI ...

... full-time or part-time. We believe that everyone, from seasoned professionals to first-time ... About the Role Fora is looking for a Senior Data Analyst, Marketing to join our growing Data team ...

Senior Business Analyst

New York, NY · On-site

$101K - $130K/yr

Remote Job Status: Part-time Position Summary: Our client is looking for a Senior Business Systems ... Data Analysis and Reporting: Proficiency with data gathering, analysis, and reporting tools (e.g ...

Senior Business Analyst

New York, NY · Remote

$94K - $122K/yr

Remote Job Status: Part-time Position Summary: Our client is looking for a Senior Business Systems ... Data Analysis and Reporting: Proficiency with data gathering, analysis, and reporting tools (e.g ...

Senior Business Analyst

New York, NY · On-site

$101K - $130K/yr

Remote Job Status: Part-time Position Summary: Our client is looking for a Senior Business Systems ... Data Analysis and Reporting: Proficiency with data gathering, analysis, and reporting tools (e.g ...

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Showing results 1-20

Part Time Data Analyst information

See Paramus, NJ salary details

$34.4K

$83.6K

$137.6K

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

As of Jul 26, 2026, the average yearly pay for part time data analyst in Paramus, NJ is $83,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,200.00 per year, depending on experience, location, and employer.

What are part time data analysts?

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.

Is 40 too late for data science?

A part-time data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications or training. Success depends on skills, experience, and continuous learning rather than age alone.

Can you be a data analyst as a side hustle?

Yes, data analysts can pursue side projects or freelance work outside their main employment, often using skills in Excel, SQL, or data visualization tools. Managing time and maintaining confidentiality are important when working part-time or freelance as a data analyst.

Will AI replace data analysts?

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 and communication that AI cannot fully replicate, so AI is more likely to augment rather than replace the profession.

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.

Is a data analyst a part-time job?

A data analyst position can be offered as either full-time or part-time, depending on the employer and project needs. Part-time data analyst roles typically involve fewer hours per week and may require skills in data visualization, SQL, and Excel. Availability for part-time work varies by company and industry demand.

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 are the most commonly searched types of Data Analyst jobs in Paramus, NJ? The most popular types of Data Analyst jobs in Paramus, NJ are:
What are popular job titles related to Part Time Data Analyst jobs in Paramus, NJ? For Part Time Data Analyst jobs in Paramus, NJ, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst jobs in Paramus, NJ look for? The top searched job categories for Part Time Data Analyst jobs in Paramus, NJ are:
What cities near Paramus, NJ are hiring for Part Time Data Analyst jobs? Cities near Paramus, NJ with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Paramus, NJ as of July 2026, with employment types broken down into 100% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $83,625 per year, or $40.2 per hour.

Part Time Data Analyst (Remote)

LEO&Co

New York, NY • Remote

Part-time

Posted 9 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