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

Providge Consulting

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 ...

Providge Consulting

Senior Business Analyst

New York, NY · Remote

$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 ...

Commonwealth Fund

Grants Associate

New York, NY · On-site

$69K - $87K/yr

Grants Technology & Data Analyst (open), Grants Associate (open); Senior Grants and Contracts Administrator (part-time); and a Manager, Special Projects, who works across departments and administers ...

MTA Headquarters

Manager, HR Data Engineer

New York, NY · Hybrid

$110K - $123K/yr

People Department WORK LOCATION: 2 Broadway FULL/PART-TIME FULL SALARY RANGE: $110,000 - $123,000 ... Perform ad hoc analysis as necessary. * Identify and implement continuous improvement initiatives ...

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All JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Rutherford, NJ

Part Time Data Analyst information

See Rutherford, NJ salary details

$34.7K

$84.2K

$138.6K

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

As of Jul 1, 2026, the average yearly pay for part time data analyst in Rutherford, NJ is $84,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,700.00 and $98,900.00 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.
More about Part Time Data Analyst jobs
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 job categories do people searching Part Time Data Analyst jobs in Rutherford, NJ look for? The top searched job categories for Part Time Data Analyst jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Part Time Data Analyst jobs? Cities near Rutherford, 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 Rutherford, NJ as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $84,246 per year, or $40.5 per hour.
Senior Business Analyst

Senior Business Analyst

Providge Consulting

New York, NY • On-site

$101K - $130K/yr

Part-time

Posted 12 days ago

Job description

Job Title: Senior Business Systems Analyst
Client Industry: Information Technology
Location:
Remote
Job Status: Part-time
Position Summary:
Our client is looking for a Senior Business Systems Analyst who will play a critical role in the modernization of the school's Facilities and Campus Management's legacy applications. This position involves leading the comprehensive analysis, documentation, and prioritization of 16 existing applications built on outdated and unsupported technology, to develop a strategic roadmap for their upgrade, integration, or replacement.
Primary Duties and Responsibilities:
Inventory and Assessment
  • Conduct a comprehensive inventory of all 16 legacy applications, including their current state, functionality, and dependencies.
  • Identify and document the location, hosting environment, and infrastructure supporting each application.
  • Gather and analyze user feedback, workflows, and usage patterns by interviewing key stakeholders and observing application usage.

Business Process Analysis
  • Map out and document the business processes supported by each application, identifying both upstream and downstream dependencies.
  • Assess the business value, criticality, and risks associated with each application, particularly in relation to security vulnerabilities and potential failures.

Prioritization and Strategy Development
  • Evaluate and prioritize applications based on usage frequency, business impact, technical debt, and security risks.
  • Develop a strategic roadmap for application modernization, considering factors like resource availability, budget constraints, and potential integration with existing systems.
  • Collaborate with IT teams and management to explore opportunities for integrating legacy functions into more mature systems, reducing the need to rebuild applications from scratch.

Stakeholder Engagement
  • Identify and engage with key stakeholders, including IT staff, end-users, and departmental leadership, to gather requirements and ensure alignment with business goals.
  • Facilitate workshops, meetings, and demonstrations to communicate findings, gather input, and build consensus around modernization priorities and strategies.

Documentation and Reporting
  • Create detailed documentation of each application, including technical specifications, user guides, and process flows, to ensure knowledge retention as staff retire or transition.
  • Prepare and present regular reports on the progress of the inventory, assessment, and modernization efforts to stakeholders and management.

Risk Management
  • Identify and assess risks associated with maintaining legacy applications, particularly those related to security vulnerabilities, staff turnover, and system failures.
  • Develop risk mitigation strategies, including short-term fixes for critical vulnerabilities and longer-term plans for system replacements or upgrades.

Support Project Management
  • Assist in the development of project plans, including timelines, milestones, and resource allocation for the modernization program.
  • Monitor and track progress against project goals, adjusting plans as necessary to accommodate changes in scope or priorities.

Collaboration and Communication
  • Work closely with cross-functional teams, including IT, project management, and external vendors, to ensure alignment and effective execution of the modernization strategy.
  • Serve as a liaison between technical teams and business stakeholders, ensuring clear communication and understanding of requirements, challenges, and progress.

Minimum Skills, Knowledge, and Ability Requirements:
Education and Experience
  • Bachelor's Degree in Business Administration, Information Technology, Computer Science, or a related field.
  • 5+ years of experience as a Business Analyst, with a focus on legacy system analysis, application modernization, or related IT projects.
  • Experience in project management or working closely with project management teams, particularly in technology modernization initiatives.

Technical Skills
  • Understanding of Legacy Systems: In-depth knowledge of legacy software systems, especially those built on older versions of Laravel or similar frameworks.
  • Application Lifecycle Management: Familiarity with the software development lifecycle (SDLC) and experience with system integration, migration, and decommissioning.
  • Security Awareness: Basic understanding of cybersecurity principles, especially as they relate to outdated or unsupported applications.
  • Data Analysis and Reporting: Proficiency with data gathering, analysis, and reporting tools (e.g., Excel, SQL, or business intelligence software).

Analytical and Problem-Solving Skills
  • Business Process Mapping: Ability to map out and document complex business processes, identify inefficiencies, and recommend improvements.
  • Critical Thinking: Strong problem-solving skills, with the ability to evaluate risks, prioritize tasks, and make informed decisions.
  • Attention to Detail: Meticulous approach to documentation, ensuring all aspects of the legacy systems and their use cases are thoroughly understood and recorded.

Communication and Interpersonal Skills
  • Stakeholder Engagement: Experience in engaging with a wide range of stakeholders, including technical teams, end-users, and management.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to convey complex information clearly and concisely.
  • Facilitation: Experience leading workshops, meetings, and interviews to gather requirements and build consensus.
  • Project and Change Management
  • Project Planning: Ability to contribute to project planning, including timelines, resource allocation, and milestone tracking.
  • Change Management: Experience in managing change, particularly in guiding users through transitions from legacy to modern systems.

Tools and Methodologies
  • Business Analysis Tools: Proficiency with tools like Microsoft Visio, Lucidchart, JIRA, or other process mapping and project tracking software.
  • Agile/Scrum Methodology: Familiarity with Agile methodologies and experience working in iterative development environments.
  • Documentation Tools: Experience with documentation tools such as Confluence, SharePoint, or similar platforms.

Soft Skills
  • Adaptability: Ability to adapt to changing project needs, priorities, and technologies.
  • Collaboration: Proven ability to work effectively in cross-functional teams, fostering a collaborative environment.
  • Time Management: Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.

Preferred Qualifications
  • Certifications: Business Analysis certifications (e.g., CBAP, PMI-PBA) or Agile/Scrum certifications (e.g., Certified Scrum Master) are a plus.
  • Experience with Higher Education Systems: Understanding of the specific challenges and requirements of facilities and campus management in a higher education context.

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