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Remote Insurance Data Analytics Jobs in New York

1 point system

Bordereaux (BDX) Analyst

New York, NY · Remote

Required Qualifications * 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis. * Strong understanding of MGA, Program, P&C, or ...

MM International

Data Analyst - Remote

New York, NY · Remote

Data Analyst Location: Remote Top Skills: * Python * Tableu * SQL Strong * AWS Job Requirement: * * Need to have experience with Data sets to do: * Gain customer insights (segmentation and ...

iShare, Inc.

Data Steward

Manhattan, NY · On-site +1

$115K/yr

... Analytics • Collibra (or similar tools) • Insurance Data Domains (P&C) This is a remote position. Compensation: $115,000.00 per year About In the perfect storm of technology forces shaping the ...

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

Location can be remote. As long as the candidate is available to work during EST business hours and ... Develop and implement databases, data collection systems, data analytics and other strategies that ...

Brex

Data Analyst III

New York, NY · On-site +1

$114K - $142K/yr

As a perk, we also have up to four weeks per year of fully remote work! Responsibilities * Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through ...

Techlink Systems

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HR Data Analyst - (REMOTE in NY) MM26

Manhattan, NY · Remote

$35/hr

New York, NY (Remote | EST time zone is preferred) Contract Duration: Contract until 12/31/2026 ... People Analytics Team * New team - needs someone with HR background * Data request for audits and ...

iShare Inc

Metadata Developer

Manhattan, NY · Remote

$115K/yr

... practices Analyze metadata requirements and implement scalable governance solutions Support ... Insurance Data Domains (P&C) --- This is a remote position.

TMS

AI Architect- Insurance domain

Edison, NJ · Remote

$75/hr

Remote/ EST Experience: 15+ years overall; 4+ years in AI/ML architecture/engineering Role Summary ... data/analytics. * Experience designing or integrating ML/AI solutions in insurance decisioning ...

Zenlaw

Data Scientist (Remote)

New York, NY · On-site +1

... Insurance, and other industries. Today, we're growing fast and excited for new teammates to join us ... Run data analysis on our dataset to design potential rules for annotation. * Improve the ...

Truvani

eCommerce Data Analyst - REMOTE

Newark, NJ · On-site +1

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

Capitex

AML Analytics Consultant

New York, NY · On-site +1

Hybrid / Remote (Global Client Base) Engagement Type: Contract / Consultancy Duration: 6-12 months ... Develop, optimize, and test transaction monitoring rules using SQL and data analytics tools.

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Remote Insurance Data Analytics information

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
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 Remote Insurance Data Analytics jobs in New York? For Remote Insurance Data Analytics jobs in New York, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in New York look for? The top searched job categories for Remote Insurance Data Analytics jobs in New York are:
What cities in New York are hiring for Remote Insurance Data Analytics jobs? Cities in New York with the most Remote Insurance Data Analytics job openings:
Remote Insurance Data Analytics jobs near you
Infographic showing various Remote Insurance Data Analytics job openings in New York as of July 2026, with employment types broken down into 4% Internship, 79% Full Time, 12% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.
Bordereaux (BDX) Analyst

Bordereaux (BDX) Analyst

1 point system

New York, NY • Remote

Contractor

Re-posted yesterday

Job description

Required Qualifications

  • 5+ years of experience working with insurance bordereaux (BDX) reporting, premium reporting, or insurance data analysis.
  • Strong understanding of MGA, Program, P&C, or Specialty Insurance operations.
  • Advanced SQL skills, including data extraction, joins, aggregations, and reconciliation analysis.
  • Experience analyzing policy, premium, and claims data.
  • Strong Excel skills, including PivotTables, VLOOKUP/XLOOKUP, and data validation techniques.
  • Experience identifying and resolving data quality issues.
  • Excellent analytical, problem-solving, and communication skills.