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Weekend Data Analyst Jobs in Elizabeth, NJ (NOW HIRING)

Capgemini America, Inc.

Data Analyst

Manhattan, NY · On-site

Role Overview Capgemini is seeking a strong Data Analyst to support a large-scale Financial Services initiative. This role will focus on enterprise data solutions, ETL/ELT development, data analysis ...

New

Laufer Group International

Data Analyst

Manhattan, NY · On-site

$100K - $135K/yr

As a Data Analyst for Laufer Group International, your work will directly influence how we optimize operations, improve performance, and scale smarter through data. In this role, you will partner ...

AllSTEM Connections

Data Analyst

Manhattan, NY · On-site

$54K - $85K/yr

Senior People Data Analyst Role Overview We are seeking a Senior People Data Analyst to transform raw organizational data into actionable insights that drive business strategy. You will own the ...

ALENOTECH SOLUTIONS LLC

Data Analyst

Jersey City, NJ · On-site

As a Data Analyst, you will collect, process, and perform statistical analyses on large datasets to help organizations make informed business decisions. You will be responsible for transforming data ...

AvePoint

Data Analyst

Jersey City, NJ

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance ...

NYU Langone Health

Data Analyst

Manhattan, NY

$70K - $83K/yr

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare Delivery Science and the Center for Healthcare Innovations and Delivery Science, as well as the Rapid ...

NYU Langone Health

Data Analyst

Manhattan, NY · On-site

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare Delivery Science and the Center for Healthcare Innovations and Delivery Science, as well as the Rapid ...

Integrated Resources INC

Data Analyst

Newark, NJ

Data Analyst Location: Newark NJ Duration: 1 year Provide analytical and functional support in the area of work integration, business plan development, budgets, and the balanced scorecard process.

CAVA

Data Analyst

Manhattan, NY

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical support by preparing data, delivering insights, and creating dashboards that inform strategic reporting ...

Candid Health

Data Analyst

New York, NY · On-site

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

RightTalents

Data Analyst

Brooklyn, NY · On-site

Data Analyst Location: Brooklyn NY (Onsite) Duration: 12 months The Senior Data Analyst with Data Modeling expertise will primarily be responsible for detailed field-level analysis, metadata analysis ...

NYULMC

Data Analyst

New York, NY · On-site

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare Delivery Science and the Center for Healthcare Innovations and Delivery Science, as well as the Rapid ...

Children's Aid Society

Data Analyst

Manhattan, NY · On-site

$80K - $90K/yr

The Data Analyst contributes to this mission through database creation, management, analysis, reporting, and collaboration with a diverse array of programs and central departments. The Data Analyst ...

Accentuate IT Solutions

Data Analyst

Brooklyn, NY · On-site

... analysis, profiling, and mapping of VSAM files into relational/dimensional SQL tables. - Lead and support data conversion and validation as part of an enterprise-wide legacy system replacement ...

adMarketplace

Data Analyst

Manhattan, NY · On-site

$70K - $90K/yr

The Role We are looking for a Data Analyst who thrives on turning complex data into clear, actionable insights. In this role, you'll work at the intersection of data, product, and business strategy ...

Clay Labs

Data Analyst

New York, NY · On-site

$130K - $170K/yr

Data @ Clay We're looking for a Data Analyst to help make Clay data-driven from the ground up. You'll join a team of experienced data scientists and analytics engineers, while partnering closely with ...

NYU Langone Health

Data Analyst

Manhattan, NY · Hybrid

$70K - $83K/yr

We have an exciting opportunity to join our team as a Data Analyst. The Department of Population Health at NYU Grossman School of Medicine seeks a Data Analyst to support the City Health Dashboard ...

GoodApple

Data Analyst

New York, NY · On-site

$69K - $85K/yr

As a Data Analyst, you will act as a strategic partner to your clients and media team, solving complex problems through metrics and analysis. Our Data Analysts have a curious, logical mindset with an ...

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Showing results 21-40

All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Elizabeth, NJ

Weekend Data Analyst information

See Elizabeth, NJ salary details

$34.2K

$83.2K

$136.9K

How much do weekend data analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekend data analyst in Elizabeth, NJ is $83,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,900.00 and $97,600.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Elizabeth, NJ? The most popular types of Data Analyst jobs in Elizabeth, NJ are:
What are popular job titles related to Weekend Data Analyst jobs in Elizabeth, NJ? For Weekend Data Analyst jobs in Elizabeth, NJ, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Elizabeth, NJ look for? The top searched job categories for Weekend Data Analyst jobs in Elizabeth, NJ are:
What cities near Elizabeth, NJ are hiring for Weekend Data Analyst jobs? Cities near Elizabeth, NJ with the most Weekend Data Analyst job openings:
Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Elizabeth, NJ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $83,171 per year, or $40 per hour.

Data Analyst

Capgemini America, Inc.

Manhattan, NY • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

About Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, supported by a collaborative global team, and inspired to reimagine what's possible. Join us and help leading organizations unlock the value of technology and build a more sustainable, inclusive future.

Note:

No sponsorship available. Candidates must be authorized to work in the U.S. on a permanent basis without the need for current or future visa sponsorship.
Role Overview

Capgemini is seeking a strong Data Analyst to support a large-scale Financial Services initiative. This role will focus on enterprise data solutions, ETL/ELT development, data analysis, data quality, and data warehouse support within an AWS cloud environment.

The ideal candidate will have hands-on experience with SQL, PostgreSQL, AWS Aurora PostgreSQL, ETL/ELT development, data modeling, Oracle, and enterprise data warehouse environments.

Key Responsibilities
  • Develop and maintain ETL/ELT pipelines and data integration solutions
  • Write complex SQL queries, transformations, and stored procedures
  • Perform data analysis, mapping, validation, reconciliation, and quality assurance
  • Design and maintain logical and physical data models
  • Support enterprise data warehouse and analytics environments
  • Work with PostgreSQL, AWS Aurora PostgreSQL, and Oracle databases
  • Troubleshoot data quality, performance, and integration issues
  • Create technical documentation including data mappings and transformation specifications
  • Collaborate with business and technical teams to translate requirements into data solutions
  • Support testing, production deployments, and ongoing operational support
Required Qualifications
  • 6+ years of experience in Data Analysis, Data Engineering, Data Integration, or related fields
  • Strong SQL development and query optimization experience
  • Hands-on ETL/ELT development experience
  • Experience building and supporting enterprise data pipelines
  • Strong data modeling and data management background
  • Strong PostgreSQL expertise
  • Experience with AWS Aurora PostgreSQL
  • Experience working in AWS cloud environments
  • Experience with Oracle databases
  • Experience supporting enterprise data warehouse solutions
  • Strong analytical and problem-solving skills
  • Excellent communication and stakeholder collaboration skills
Preferred Qualifications
  • Financial Services industry experience
  • Experience supporting BI and reporting initiatives
  • Data governance and data quality experience
  • Experience with cloud-based analytics and data warehouse platforms
Why Join Capgemini?
  • Work on enterprise-scale cloud and data transformation programs
  • Collaborate with leading financial services organizations
  • Exposure to modern AWS-based data platforms
  • Competitive compensation and career growth opportunities
About Capgemini:
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of 22.1 billion.
Make it real | ;/div>
Life at Capgemini:
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
Flexible work
Healthcare including dental, vision, mental health, and well-being programs
Financial well-being programs such as 401(k) and Employee Share Ownership Plan
Paid time off and paid holidays
Paid parental leave
Family building benefits like adoption assistance, surrogacy, and cryopreservation
Social well-being benefits like subsidized back-up child/elder care and tutoring
Mentoring, coaching and learning programs
Employee Resource Groups
Disaster Relief

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