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Remote Data Entry Insurance Jobs in Mount Laurel, NJ

Soni Resources

Data Scientist

Conshohocken, PA · On-site +1

$175K/yr

Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed ... Background in insurance, financial services, or other highly regulated industries. * Experience ...

Pepperidge Farm, Incorporated

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

... insurance (for individual, families, and domestic partners). * Employees are eligible for our ... remote for the right candidate. Compensation and Benefits: The target base salary range for this ...

New

Campbell's

Data Engineer

Camden, NJ · On-site +1

$110K - $152K/yr

... insurance (for individual, families, and domestic partners). * Employees are eligible for our ... remote for the right candidate. Compensation and Benefits: The target base salary range for this ...

New

JLL

Sourcing Specialist

Philadelphia, PA · Remote

... provide data entry / management support via SCMP technology platform. * Responsible for data ... Location: Remote -Atlanta, GA, Charlotte, NC, Chicago, IL, Detroit, MI, Harrisburg, PA ...

NTT DATA Services

Lead Security Engineer

Fort Washington, PA · On-site +1

$126K - $210K/yr

Req ID: 370870 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... This is a hybrid role with 3 days on-site in the office and 2 days remote. Only local candidates ...

NTT DATA Services

Lead Security Engineer

Fort Washington, PA · On-site +1

$126K - $210K/yr

Req ID: 370870 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... This is a hybrid role with 3 days on-site in the office and 2 days remote. Only local candidates ...

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Showing results 21-40

All JobsData Entry Insurance JobsRemote Data Entry Insurance JobsRemote Data Entry Insurance Jobs in Mount Laurel, NJ

Remote Data Entry Insurance information

See Mount Laurel, NJ salary details

$10

$19

$28

How much do remote data entry insurance jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote data entry insurance in Mount Laurel, NJ is $19.28, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.68 per hour, depending on experience, location, and employer.

What is a remote data entry insurance professional?

A Remote Data Entry Insurance job involves inputting, updating, and maintaining insurance-related data into digital systems while working from a location outside of a traditional office, such as from home. Responsibilities typically include entering policy information, claims details, and customer data accurately and efficiently. This role requires attention to detail, proficiency with data entry software, and a basic understanding of insurance terminology. Remote data entry positions offer flexibility and are ideal for individuals who are organized, self-motivated, and comfortable working independently.

What are some common challenges faced by remote data entry professionals in the insurance industry, and how can they be overcome?

Remote data entry specialists in the insurance sector often face challenges such as maintaining data accuracy, managing large volumes of sensitive information, and staying connected with team members. Adhering to strict quality control processes and regularly verifying entries can help ensure data integrity. Utilizing secure communication tools and participating in virtual check-ins with supervisors and colleagues can foster collaboration and address any questions promptly. Staying organized and following established workflows also helps manage workload efficiently.

What is the difference between Remote Data Entry Insurance vs Remote Claims Processor?

AspectRemote Data Entry InsuranceRemote Claims Processor
Required CredentialsHigh school diploma, basic computer skillsHigh school diploma, knowledge of insurance policies
Work EnvironmentHome-based, computer-focusedHome-based, customer service and data review
Industry UsageInsurance companies, data management firmsInsurance companies, healthcare providers
Common Search IntentData entry jobs in insuranceInsurance claims processing jobs

Remote Data Entry Insurance involves inputting insurance data into systems, focusing on accuracy and speed. Remote Claims Processors handle reviewing and processing insurance claims, often requiring knowledge of policies. Both roles are home-based and involve insurance industry work, but they differ in responsibilities and skill requirements.

What are the key skills and qualifications needed to thrive as a remote data entry insurance professional?

To thrive as a Remote Data Entry Insurance professional, you need strong attention to detail, data accuracy, and familiarity with insurance terminology, typically supported by a high school diploma or equivalent. Proficiency with data entry software, spreadsheet tools like Microsoft Excel, and insurance management systems is commonly required. Excellent time management, self-motivation, and strong written communication skills help individuals excel in a remote environment. These competencies ensure accurate processing of insurance information, reduce errors, and support efficient remote operations.
What are the most commonly searched types of Data Entry Insurance jobs in Mount Laurel, NJ? The most popular types of Data Entry Insurance jobs in Mount Laurel, NJ are:
What are popular job titles related to Remote Data Entry Insurance jobs in Mount Laurel, NJ? For Remote Data Entry Insurance jobs in Mount Laurel, NJ, the most frequently searched job titles are:
What job categories do people searching Remote Data Entry Insurance jobs in Mount Laurel, NJ look for? The top searched job categories for Remote Data Entry Insurance jobs in Mount Laurel, NJ are:
What cities near Mount Laurel, NJ are hiring for Remote Data Entry Insurance jobs? Cities near Mount Laurel, NJ with the most Remote Data Entry Insurance job openings:
Remote Data Entry Insurance jobs near you
Infographic showing various Remote Data Entry Insurance job openings in Mount Laurel, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $40,112 per year, or $19.3 per hour.

Data Scientist

Soni Resources

Conshohocken, PA • On-site, Remote

$175K/yr

Full-time

Re-posted 29 days ago

Job description

Data Scientist (Data Science + Data Engineering)
Location: Remote (Preference for Northeast/Mid-Atlantic; monthly travel to Plymouth Meeting, PA as needed)
Our client is building a data-driven culture where analytics, AI, and technology directly influence business decisions. They are seeking a Data Scientist who can translate complex business challenges into actionable insights while helping bring advanced analytics and machine learning solutions into production.
This role is ideal for someone who enjoys the full lifecycle of data science-from exploring data and building predictive models to partnering with engineering teams to deploy solutions that create measurable business value. The successful candidate will work closely with data engineers, business stakeholders, and executive leadership to help shape the future of analytics and AI across the organization.
While this is primarily a Data Science role, candidates should have a solid understanding of data engineering concepts and how models are operationalized within modern data ecosystems.
Responsibilities:
Data Science & Advanced Analytics
  • Analyze large and complex datasets to identify patterns, trends, and opportunities that support strategic business decisions.
  • Develop predictive models, scoring frameworks, and machine learning solutions that enhance business performance and decision-making.
  • Apply statistical and analytical techniques to solve real-world business problems and uncover actionable insights.
  • Continuously evaluate model effectiveness and recommend enhancements based on business outcomes and evolving data.
AI & Innovation
  • Contribute to the organization's growing AI strategy, including opportunities to leverage generative AI and emerging technologies.
  • Explore innovative approaches to automation, decision support, and workflow optimization through advanced analytics and AI solutions.
  • Partner with leadership to identify high-value use cases where AI can improve operational efficiency and decision quality.
Data Engineering Collaboration
  • Work closely with data engineering teams to ensure analytical solutions can be deployed, maintained, and scaled effectively.
  • Collaborate on the design and implementation of data pipelines that support machine learning and advanced analytics initiatives.
  • Help bridge the gap between model development and production deployment by ensuring solutions are practical, reliable, and business-ready.
  • Support efforts to improve data quality, accessibility, and governance across the organization.
Business Partnership
  • Engage directly with business stakeholders to understand challenges, define analytical approaches, and deliver impactful solutions.
  • Translate technical findings into clear, concise recommendations for both technical and non-technical audiences.
  • Serve as a trusted partner in helping business leaders make data-informed decisions.
Qualifications
Required
  • 3+ years of hands-on experience in Data Science, Analytics, Machine Learning, or a related quantitative field.
  • Proven experience developing predictive models or machine learning solutions in a business environment.
  • Strong proficiency in Python and modern data science libraries.
  • Advanced SQL skills and experience working with large-scale, complex datasets.
  • Experience applying statistical analysis and predictive modeling techniques to business problems.
  • Understanding of data engineering concepts, including data pipelines, model deployment, and production environments.
  • Experience working with cloud-based platforms such as Azure, AWS, or Google Cloud.
  • Strong communication and stakeholder management skills with the ability to explain technical concepts to business audiences.
Preferred
  • Experience collaborating closely with Data Engineering teams or supporting machine learning deployment initiatives.
  • Familiarity with distributed computing tools such as Spark or PySpark.
  • Experience developing AI-driven solutions, including Generative AI, Large Language Models (LLMs), or agent-based workflows.
  • Background in insurance, financial services, or other highly regulated industries.
  • Experience building production-grade machine learning applications.
  • Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.

The ideal candidate:
  • Enjoys solving complex business problems through data.
  • Approaches challenges with curiosity and asks thoughtful questions.
  • Can balance analytical rigor with practical business impact.
  • Is comfortable working independently while collaborating across teams.
  • Takes ownership and drives projects from concept through implementation.
  • Learns new technologies and business domains quickly.
  • Values building solutions that can be used and adopted by the business-not just creating models.
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About Soni Resources

Sourced by ZipRecruiter

Soni is a premier staffing & recruitment company that is disrupting the human capital management space. Headquartered in New York, Soni has presence in 23 markets across the United States. We support each professional relationship with a cutting-edge approach, industry-leading insights, and a human touch. We are trusted to help companies and individuals tackle their challenges and capture their greatest opportunities. We are minority-owned, and diversity & inclusion is in our DNA. We are committed to creating environments where people are empowered to be their authentic selves.

Company size

11 - 50 Employees

Headquarters location

New York, NY, US

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