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Insurance Data Processing Jobs in New York (NOW HIRING)

Senior Manager, Data Science

New York, NY · Hybrid

$180.50K - $236.91K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... or data processing * 1+ years of people management experience (for people manager roles) Bonus ...

Data Analyst, Insurance

New York, NY · On-site

$115K - $145K/yr

... insurance products. With a deep understanding of owner, operator, and renter needs, we believe ... You'll work cross-functionally to uncover trends, optimize processes, and empower teams with data ...

Software Engineer - Data

New York, NY · On-site

$125.30K - $150.40K/yr

Authentic helps insurance brokers create better insurance products for their clients. We provide ... Experience with Python for data processing and pipeline development * Solid understanding of data ...

Data Engineer

Armonk, NY

$123K - $147.70K/yr

Support geospatial data processing and spatial data transformations * Ensure strong data quality ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

This involves managing ETL/ELT processes, optimizing database systems for performance and ... or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care

Data Engineer II

New York, NY · On-site

$125K - $165K/yr

... processing, data warehousing, data governance, Big Data, data variance, data privacy, and data ... Familiarity with healthcare or insurance * Familiarity with data security and HIPPA compliance * A ...

Data Scientist II

New York, NY · On-site

$131.20K - $172.20K/yr

... or data processing Bonus points: * Master's degree in a quantitative or technical field * Knowledge of or previous work experience in health care or health insurance * Experience mentoring or ...

Data Scientist II

New York, NY · Hybrid

$131.20K - $172.20K/yr

... or data processing Bonus points: * Master's degree in a quantitative or technical field * Knowledge of or previous work experience in health care or health insurance * Experience mentoring or ...

Associate, Provider Data Analytics

New York, NY · On-site

$96.88K - $127.15K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Any Oscar applicant who requires reasonable accommodations during the application process should ...

PL/SQL, Jira, Informatica IDMC, Apex, FIS Global Plus, Robotic Process Automation experience is a ... Employer-paid life insurance and short- and long-term disability coverage * Legal services and ...

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Showing results 1-20

Insurance Data Processing information

What are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an Insurance Data Processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is Insurance Data Processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in New York? For Insurance Data Processing jobs in New York, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in New York look for? The top searched job categories for Insurance Data Processing jobs in New York are:
What cities in New York are hiring for Insurance Data Processing jobs? Cities in New York with the most Insurance Data Processing job openings:
Senior Manager, Data Science

Senior Manager, Data Science

Oscar Health

New York, NY • Hybrid

$180.50K - $236.91K/yr

Other

PTO

Posted 16 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

226th of 259 rated insurance


Job description

Hi, we're Oscar. We're hiring a Senior Manager, Data Science to join our Data Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.

About the role:

We are a team of data scientists and analysts who bridge and business to deliver measurable results and transformative impact. You will lead a team dedicated to quantifying, analyzing, and accelerating growth and engagement. You will partner with Sales, Marketing, and Strategic Finance to model our growth funnels, create predictive models that forecast churn, and align macro market dynamics with Oscar's strategic roadmap.

You will report into the Director, Data Science.

Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $180,504 - $236,911.50 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants and annual performance bonuses.

Responsibilities:

  • Translates business goals into plans and tactics for the team
  • Works with more senior leaders to establish longer term strategies and roadmaps 
  • Participates in team-wide technical and operations management responsibilities
  • Leads and manages a small team of data scientists and/or analysts
  • Interacts and collaborates closely with data and business management across functional areas
  • Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses
  • Compliance with all applicable laws and regulations
  • Other duties as assigned 

Requirements:

  • 6+ years of industry or other quantitative technical fields (which may include academia)
  • 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
  • 4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
  • 1+ years of people management experience (for people manager roles)

Bonus points:

  • Advanced degree in a quantitative or technical field
  • Experience in the healthcare, finance and/or insurance industries