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Home Based Data Analyst Jobs in Edison, NJ (NOW HIRING)

Sr. Data Analyst

Piscataway, NJ ยท On-site

$87K - $110K/yr

Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms ... Source data analysis * Source-to-Target Mapping (STTM) * Business rule documentation * Data ...

Data Business Analyst

Denville, NJ ยท On-site

$70 - $75/hr

Analyze large datasets to identify trends, data quality issues, and opportunities for process ... Experience working with cloud-based data platforms. * Knowledge of data quality, master data ...

Senior Data Analyst

New York, NY ยท Remote

$94K - $118K/yr

You will work with a modern event-based data platform across Bigquery, Fivetran, dbt, dagster, Lightdash and Hex. What We Are Looking For * 6+ years of experience in analytics with a focus on end to ...

... based decisions. The ideal candidate is a disciplined problem solver and an effective "data ... Own analytical work from requirements discovery and source-data assessment through transformation ...

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... effectiveness based on engagement, product adoption, customer satisfaction, and training ...

... based decisions. The ideal candidate is a disciplined problem solver and an effective "data ... Own analytical work from requirements discovery and source-data assessment through transformation ...

Data Analyst Req ID: 10158683 The Subscriber Lifecycle & Commerce Analytics team is looking for a ... based product. The hiring range for this position in Santa Monica, CA is $97,500 to $130,700 per ...

... based on STTMs and data models. - Work across IBM Mainframe, Windows Server, and SQL Server environments. - Collaborate with technical teams to analyze requirements and propose solutions. - Apply ...

... based decisions. The ideal candidate is a disciplined problem solver and an effective "data ... Own analytical work from requirements discovery and source-data assessment through transformation ...

Data Analyst

New York, NY ยท On-site

$118K/yr

Experience supporting cloud-based analytics platforms and data warehouse environments What You'll Bring * Ability to work independently and within cross-functional teams * Strong attention to detail ...

Data Analyst

Jersey City, NJ ยท On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner ... effectiveness based on engagement, product adoption, customer satisfaction, and training ...

E-Logic is seeking a highly analytical and detail-oriented Data Analyst to support a proposed ... Experience supporting proposal-based or contract-driven engagements is a plus Additional ...

Data Analyst

Newark, NJ ยท On-site

WebMD/MD Alert is currently seeking a Client Data Analyst responsible for understanding data ... This position is also eligible for a discretionary company bonus, based upon business results.

Data Analyst

Manhattan, NY ยท On-site

$70K - $90K/yr

The Data Analyst will report to the Director of Client Services and collaborate closely with the ... The exact schedule is based on approval of the Director of Client Services and needs of the Bank.

Experience supporting cloud-based analytics platforms and data warehouse environments What You'll Bring * Ability to work independently and within cross-functional teams * Strong attention to detail ...

Responsibilities Kforce has a client in need of a Data Analyst in Princeton, NJ. Responsibilities ... Employee pay is based on factors like relevant education, qualifications, certifications ...

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Showing results 1-20

Home Based Data Analyst information

See Edison, NJ salary details

$35.2K

$85.6K

$140.8K

How much do home based data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for home based 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 home based data analyst?

A Home Based Data Analyst is a professional who works remotely from their home to collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. The role typically involves working with large volumes of data, ensuring data quality, and presenting findings to stakeholders. Home Based Data Analysts must have strong analytical skills, attention to detail, and proficiency in data analysis software such as Excel, SQL, or Python. Remote data analysts often collaborate with teams and clients virtually.

What are the key skills and qualifications needed to thrive as a home based data analyst?

To thrive as a Home Based Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Experience with technical tools like SQL, Excel, Python, and data visualization platforms (e.g., Tableau or Power BI) is crucial, along with knowledge of remote collaboration software. Excellent attention to detail, problem-solving ability, and clear communication help you interpret data accurately and present actionable insights to stakeholders. These skills ensure you can independently manage, analyze, and report data effectively while collaborating remotely with teams and clients.

How do home based data analysts typically collaborate with team members while working remotely?

Home-based data analysts often use a variety of digital tools to stay connected and collaborate with their teams, such as project management platforms, instant messaging apps, and video conferencing software. Regular virtual meetings and real-time document sharing are common practices to ensure alignment on projects and data-driven decisions. Effective communication skills and proactive reporting help maintain transparency and foster teamwork despite the physical distance. By leveraging cloud-based analytics platforms, analysts can seamlessly share insights and work jointly on datasets with colleagues across different locations.

Is it possible to work remotely as a home based data analyst?

Home based data analysts can often work remotely, as the role primarily involves analyzing data using software tools like Excel, SQL, or Python, which can be accessed from any location with internet access. Many companies offer remote or flexible schedules for data analysis positions, especially with the increasing adoption of cloud-based collaboration tools. However, some roles may require occasional in-person meetings or specific certifications to qualify for remote work.

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 cities near Edison, NJ are hiring for Home Based Data Analyst jobs?

Cities near Edison, NJ with the most Home Based Data Analyst job openings:

Infographic showing various Home Based Data Analyst job openings in Edison, NJ as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 79% Full Time, 5% Part Time, 4% Contract, and 10% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $85,553 per year, or $41.1 per hour.

Sr. Data Analyst

Accord Technologies Inc.

Piscataway, NJ โ€ข On-site

$87K - $110K/yr

Contractor

Re-posted 16 days ago


Job description

Senior Data Analyst
Location: Piscataway, NJ (Hybrid/Onsite)
Experience: 10–12+ Years 

Mandatory: Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL, actuarial or deep insurance domain knowledge, business rule documentation, stakeholder management.Job Summary

We are seeking an experienced Senior Data Analyst with deep expertise in data analysis, business analysis, and insurance/actuarial domains to support enterprise data initiatives. The ideal candidate will have extensive experience gathering business requirements, performing source data analysis, creating source-to-target mappings, documenting business rules, and collaborating with cross-functional stakeholders to deliver high-quality data solutions.

This role requires strong SQL skills, excellent analytical capabilities, and hands-on experience working with actuarial, underwriting, or broker data within the insurance industry. Familiarity with Databricks, Azure, and modern data governance practices is highly desirable.

Key Responsibilities
  • Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
  • Perform detailed source system analysis to understand data structures, relationships, and quality.
  • Develop comprehensive Source-to-Target Mapping (STTM) documents for data migration and integration projects.
  • Analyze complex datasets using advanced SQL to identify trends, anomalies, and business insights.
  • Document business rules, transformation logic, and data validation requirements.
  • Work closely with actuarial, underwriting, and business teams to understand insurance data models and reporting needs.
  • Support data reconciliation, data validation, and quality assurance activities.
  • Participate in data governance initiatives including metadata management, data lineage, and data quality improvements.
  • Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms.
  • Create functional specifications and support UAT by validating business requirements and data accuracy.
  • Facilitate stakeholder meetings and effectively communicate project status, risks, and recommendations.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Actuarial Science, Business, or a related field.
  • 10–12+ years of experience as a Data Analyst or Business/Data Analyst.
  • Strong experience with:
    • Requirements gathering and business analysis
    • Source data analysis
    • Source-to-Target Mapping (STTM)
    • Business rule documentation
    • Data reconciliation and validation
    • Stakeholder management
  • Advanced SQL skills for complex querying, analysis, and data validation.
  • Hands-on experience in the Insurance industry, preferably within:
    • Actuarial
    • Underwriting
    • Broker data
  • Strong analytical and problem-solving abilities.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Hands-on actuarial experience.
  • Strong understanding of Property & Casualty and/or Life Insurance data.
  • Experience working with underwriting and broker datasets.
  • Familiarity with Databricks and Microsoft Azure data platforms.
  • Exposure to data governance frameworks, metadata management, and data lineage.
  • Experience supporting enterprise reporting and analytics initiatives.
  • Knowledge of ETL processes and data integration concepts.
  • Experience working in Agile/Scrum environments.
Technical Skills
  • SQL (Advanced)
  • Data Analysis
  • Source-to-Target Mapping (STTM)
  • Business Requirements Documentation
  • Data Reconciliation
  • Data Validation
  • Databricks (Preferred)
  • Microsoft Azure (Preferred)
  • Data Governance
  • Reporting & Analytics
  • Excel (Advanced)
Domain Expertise
  • Insurance
  • Actuarial
  • Underwriting
  • Broker Data
  • Risk & Financial Data