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

Fora

Senior Data Scientist, Product Analytics

New York, NY · On-site

$130K - $185K/yr

... or part-time. We're mission-driven and obsessed with our customers, and we believe humans and AI ... This is a foundational role on the Data Science & Analytics team. You'll operate as a strategic ...

Fora

Senior Data Scientist, Business Analytics

New York, NY · On-site

$130K - $185K/yr

... or part-time. We're mission-driven and obsessed with our customers, and we believe humans and AI ... Analyze our data to diagnose and explain our business trajectory and trends * Size opportunities ...

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

$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 ...

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 ...

Schonfeld

Analyst

New York, NY · On-site

$150K - $286K/yr

... data sources, and determining variant views relative to consensus; and * 3 years of experience ... stocks. Part time telecommuting permitted. Wage Range: $150,000 to $286,000/year CV to dkatz ...

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

Part Time Data Analyst information

See Edison, NJ salary details

$35.2K

$85.6K

$140.8K

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

As of Sep 14, 2026, the average yearly pay for part time data analyst in Edison, NJ is $85,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,400.00 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 Edison, NJ?

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

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

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

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

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

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

Cities near Edison, 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 Edison, NJ as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $85,553 per year, or $41.1 per hour.

Senior Manager, Security Data Science

New York, NY • On-site

Metropolitan Transportation Authority
Urban Transit Systems • 1 - 5K employees
Learn more about Metropolitan Transportation Authorityexternal

Part-time

Re-posted 14 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

Job description

Description
Position at MTA Headquarters
JOB TITLE: Senior Manager of Security Data ScienceDEPT/DIV: SecuritySUPERVISOR: Director, Data Information & Analysis WORK LOCATION: 2 Broadway, New York, NY 10004HOURS OF WORK: 8:00 AM- 4:30 PM (7.5 hours/day) or as requiredFULL/PART-TIME: Full TimeSALARY RANGE: $110,233 - $124,012DEADLINE: Open until filled
*This position is eligible for teleworking, which is currently one day per week. New hires are eligible to apply for telework 30 days after their effective date of hire.
Opening:
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.
Job Summary:
The Senior Manager of Security Data Science at MTA HQ's Office of Security will play a lead role in overseeing the collection and management of highly sensitive police and security data, information, and intelligence from all MTA Police and Security operating departments. This role involves directing the development of the data strategy, data processes, and program structure for Police and Security, as well as analyzing and presenting findings to leadership. These findings include incident reports, surveillance footage, threat assessments, and criminal records. The data will be carefully gathered, validated, and analyzed to detect critical security trends, emerging threats, and operational vulnerabilities, supporting a comprehensive, risk-based approach to all MTA and Security Operations. The person will also act as the proxy when the Director is unavailable.
The main responsibilities involve data collection, transformation, synchronization, and modeling. This role demands considerable experience with SQL and Python, as well as the ability to direct the design and implementation of robust data architecture and analytics strategies for diverse datasets and complex analytical tasks. Key duties include maintaining detailed record-keeping processes, conducting advanced data analysis, preparing comprehensive reports, and developing actionable, data-driven strategies aligned with worldwide, regional, and local security, law enforcement, terrorism, and crime prevention initiatives. The incumbent will manage projects and staff to ensure successful outcomes.
Responsibilities:
  • Managing the Creation of data structures and developing code to collect, combine, and transform Security datasets for business needs.
  • Lead data structure design and implement quality controls to ensure output data is valid, accurate and user-friendly. Coordinating with internal and external police and/or security data leads to address data quality problems. Enhance quality and usability of legacy datasets and systems that may be lacking in compatibility or common field types.
  • Act as the internal expert for the Security data science team and supervise more junior staff members to monitor, analyze, synthesize, and report on confidential and sensitive open-source and police, intelligence, and security information sources to inform the overall MTA security strategy.
  • Manage internal systems, tools, and processes to record and track MTA security incident data to identify trends and patterns. Work with agency security staff to ensure data integrity and improve data collection and presentation. Collaborate with the MTA agencies, MTA Police Department, New York Police Department, Federal and local law enforcement agencies' data teams, to gather, present, and share security data for purposes of crime prevention and counter terrorism.
  • Collaborate with Security & Police departments to identify reporting needs, develop appropriate processes to achieve them, and deliver associated tasks.
  • Independently define project requirements and problems as action plans that can be assigned across the team to ensure workload balancing. Oversee and ensure project processes and outputs are properly documented for continuity and presentation to Senior Security Management.
  • Select, develop, oversee, and motivate personnel within the department. Provide career development for subordinates. Provide prompt and effective coaching and counseling. Responsible for discipline/termination of employees when necessary. Review performance of staff. Create a professional environment that respects individual differences and enables all employees to develop and contribute to their full potential.
  • Performs other duties as assigned
  • Complies with all policies and standards
  • May be required to work hours outside regular work hours, as applicable
  • Observes the work performed by contractors, as applicable
  • Reviews invoices and approves them if the work meets contractual standards, as applicable
  • Addresses performance issues with the contractor when possible, as applicable
  • Escalates issues to other parties when needed, as applicable

Required Knowledge/Skills/Abilities:
  • Proficiency & subject matter expert in data management, including knowledge of statistics, conducting quantitative and qualitative data analysis, and applying empirical research methods and procedures such as sampling and surveying techniques, as well as analytical skills. Additionally, they will be able to stay current with technical innovations and data science trends. Incumbent is expected to be able to lead and provide training to subordinates within these skills and abilities.
  • Experienced in developing and analyzing algorithms, dashboards, and/or predictive models to support security and/or policing functions and investigative methodologies. This requires the incumbent to lead a team in utilizing these methodologies for project management as it pertains to Police & Security data analytics.
  • The candidate must have experience in meeting deadlines for submitting analysis reports that contain recommendations, strategy implementations, and statistical findings aimed at an executive audience. The ideal candidate will also have strong interpersonal, organizational, and presentation skills, as well as the ability to think strategically and at a policy level.
  • Proven ability to effectively communicate and perform in a high-profile, high-pressure environment, both in writing and verbally, and interacting well with all levels of the organization as well as external agencies such as the Governor's Office for New York State, New York City government, public officials, and staff at federal or state agencies or authorities.
  • Must have strong supervisory skills to effectively direct professional staff and technical employees in implementing the short- and long-term goals and direction for their areas of responsibility, e.g., monitoring staff's daily performance and project progress.
  • Proven ability to manage and lead team-based projects, completing both short-term and long-term initiatives efficiently and effectively. Experience in documenting processes and quality checks.
  • Demonstrated proficiency with data processing, statistical software and management support tools, including Microsoft Office Suite or comparable applications, advanced Excel analysis, and business intelligence tools (e.g., Power BI, Tableau).
  • Strong skills in leading database designs and management with the ability to read code and interpret data.
  • Familiarity with transportation systems and planning theory & practice, particularly the MTA subway, bus and railroad networks.
  • Proven supervisory experience in project management principles and/or data analysis, predictive analytics, and experience in their application is desirable.
  • A working knowledge and understanding of the following are highly desirable: Federal, State, and NYC security and penal regulations and laws.
  • Familiarity with the MTA's policies and procedures.
  • Familiarity with the MTA's collective bargaining procedures.
  • Experience in supervising staff performing analytical duties.
  • Experience with data exploration/data visualization tools like Tableau, Power BI, Web Focus, etc.
  • Experience with GIS mapping of data or equivalent geospatial application.

Required Education and Experience:
  • Minimum 8 years of experience in data information and analysis or performing statistical analysis and research, analyzing data, developing recommendations, implementing strategies, and preparing reports. With similar programming and data management content. A master's degree may substitute for one year of experience.
  • Minimum 8 years of experience in building datasets, automating tasks through scripts, writing database queries, and debugging/ maintaining code.
  • Minimum 3 years of experience with relational databases (e.g., Oracle, Postgres, SQL Server), including writing queries (generally with PL/SQL) to obtain and manipulate data.
  • Minimum 4 years of programming experience for data analytics, most preferably in Python & SQL, but other languages such as R and Java are valuable.
  • Minimum 2 years of of Supervisory/leadership experience.
  • Valid Driver's License

Other Information
May need to work outside of normal work hours (i.e., evenings and weekends)
Travel may be required to other MTA locations or other external sites.
According to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission").
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including those concerning veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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