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Entry Level Insurance Data Analytics Jobs in New York

American Express

Analyst-Data Analytics

New York, NY · On-site

... analytics, insights and data products for the Global Commercial Services (GCS) business. In this ... Comprehensive medical, dental, vision, life insurance, and disability benefits * Flexible working ...

Forus Inc

Data & Analytics Engineer

New York, NY · On-site

$170K - $250K/yr

... insurance coverage, financial assistance, and supply chain navigation. We provide this support free ... About the role As a Data & Analytics Engineer at Forus, you will build the data foundation that ...

Cawley & Bergmann, LLC

Mid-Level Data Analyst

Newark, NJ · On-site

$40K - $60K/yr

Entry-Level Data AnalystCawley & Bergmann, LLCNewark, NJFull-Time | On-SiteSalary: $40,000-$60,000 ... Previous experience in collections, financial services, data analytics, reporting, or a related ...

TouchTunes

Senior Manager, Data Analytics

New York, NY · On-site

$130K - $150K/yr

Senior Manager, Data Analytics - Marketing Location: New York (currently hybrid with up to 50 ... Competitive health insurance and disability coverage, a Lifestyle Spending Account, access to ...

Gain America

Entry Level Data Analyst

Hicksville, NY · On-site

$70K/yr

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

Tihinsurance

Associate Business Analyst

New York, NY

$80K - $90K/yr

Bachelor's degree in Finance, Economics, Business Analytics, Mathematics, Statistics, Risk Management, Insurance, Data Analytics, or a related analytical discipline. 0-2 years of experience in ...

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Entry Level Insurance Data Analytics information

What is an entry level insurance data analytics job?

Entry level insurance data analytics jobs involve collecting, processing, and analyzing data to help insurance companies make better business decisions. Professionals in these roles typically use statistical tools and software to identify trends, assess risks, and support pricing or policy development. They may also prepare reports and visualizations to communicate findings to other teams. These positions are ideal for recent graduates with strong analytical skills who have an interest in the insurance industry.

What are the key skills and qualifications needed to thrive as an entry level insurance data analytics professional?

To thrive as an Entry Level Insurance Data Analytics professional, you need foundational skills in statistics, data analysis, and proficiency with Excel or similar tools, often supported by a degree in mathematics, statistics, or a related field. Familiarity with data analytics software such as SQL, Python, R, and insurance industry databases is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills set candidates apart in this role. These competencies are crucial for accurately interpreting insurance data, supporting business decisions, and conveying insights to both technical and non-technical stakeholders.

What are some common challenges faced by entry level insurance data analytics professionals, and how can they be addressed?

Entry-level professionals in insurance data analytics often encounter challenges such as working with large, complex datasets, understanding industry-specific terminology, and aligning analytical findings with business objectives. To overcome these, it's important to develop strong data management and visualization skills, seek mentorship from experienced colleagues, and regularly communicate with underwriters, actuaries, and business teams to understand the context behind the numbers. Proactively participating in team meetings and taking advantage of on-the-job training can also help bridge knowledge gaps and foster professional growth.

What is the difference between Entry Level Insurance Data Analytics vs Insurance Data Analyst?

AspectEntry Level Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; basic knowledge of analytics toolsBachelor's or higher in data analysis, statistics, or related; some roles prefer certifications
Work EnvironmentEntry-level roles in insurance companies, focusing on data collection and basic analysisMore experienced roles involving complex data modeling and reporting
Employer & Industry UsageInsurance companies, brokers, and agenciesInsurance firms, consulting agencies, and risk management companies

Entry Level Insurance Data Analytics positions focus on foundational data tasks within insurance firms, often requiring less experience and offering training opportunities. Insurance Data Analysts typically have more experience, handling advanced analysis and reporting. Both roles are essential in the insurance industry but differ mainly in complexity and responsibility.

What does an entry level insurance data analyst do in insurance?

An entry level insurance data analyst collects, organizes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to improve underwriting processes and pricing strategies.

What are the most commonly searched types of Insurance Data Analytics jobs in New York?

The most popular types of Insurance Data Analytics jobs in New York are:

What are popular job titles related to Entry Level Insurance Data Analytics jobs in New York?

For Entry Level Insurance Data Analytics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Insurance Data Analytics jobs in New York look for?

The top searched job categories for Entry Level Insurance Data Analytics jobs in New York are:

What cities in New York are hiring for Entry Level Insurance Data Analytics jobs?

Cities in New York with the most Entry Level Insurance Data Analytics job openings:

Entry Level Insurance Data Analytics jobs near you
Infographic showing various Entry Level Insurance Data Analytics job openings in New York as of August 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 89% In-person, 4% Hybrid, and 7% Remote job distribution.

Insurance Data Specialist - Analytics

New York, NY • On-site, Remote

Mercor
See more jobs at Mercorexternal

Full-time

Posted yesterday

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Insurance Data & Operations Specialist
Type: Contract
Compensation: $800/hour
Location: Remote
Commitment: 20–40 hours/week

Role Responsibilities

  • Design realistic scenarios involving policy, premium, exposure, claim, provider, member, producer, and operational data.
  • Create work products such as metric definitions, data-quality assessments, workflow analyses, dashboard requirements, operational reports, root-cause analyses, and process-improvement recommendations.
  • Write "golden" reference responses at experienced insurance data and operations quality.
  • Grade AI-generated responses against structured rubrics for data interpretation, metric consistency, process understanding, feasibility, and communication.
  • Identify incorrect denominators, misleading aggregations, inconsistent definitions, data-lineage gaps, workflow bottlenecks, and conclusions not supported by the available evidence.
  • Provide written feedback the research team uses to improve model behavior.

Qualifications

Must-Have

  • 2+ years of professional experience in insurance data, business analysis, reporting, operations analysis, quality assurance, or process improvement.
  • Understand at least one insurance operating domain, such as underwriting, policy administration, claims, distribution, health-plan operations, reinsurance, or compliance.
  • Translated business questions into metrics, reporting requirements, data definitions, workflow changes, or operational controls.
  • Analyze a process without substituting for the underwriter, adjuster, clinician, actuary, or compliance specialist responsible for the substantive decision.
  • Excellent analytical writing, structured problem-solving, and high attention to detail.
  • Proficient with spreadsheets and at least one reporting, database, analytics, or workflow tool.

Preferred

  • Experience with SQL, Python, R, Tableau, Power BI, Looker, or insurance data platforms.
  • Lean, Six Sigma, project-management, business-analysis, or data-governance credential.
  • Experience with policy, billing, claims, CRM, provider, or member-administration systems.
  • Data governance, model governance, audit, or operational quality experience.
  • Experience developing KPIs, service-level metrics, or executive reporting.

Start Date

  • Immediately; applications reviewed on a rolling basis.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.