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Remote Insurance Data Analytics Jobs in Boston, MA

Knitwellgroup

Marketing Analytics Developer

Hingham, MA · On-site +1

$100K - $130K/yr

Collaborate with data analysts and other teams to interpret data and identify areas for ... Medical, dental, vision insurance & 401(K).* * Employee Assistance Program (EAP). * Time off - paid ...

Delaware North

Performance Marketing Analyst

Boston, MA · Remote

$66K - $84K/yr

Location in Buffalo, NY is preferred, however, we may consider remote candidates in NYC or Boston ... using data, analytics and insights in a high volume, fast paced environment * Experience with ...

Delaware North

Performance Marketing Analyst

Boston, MA · Remote

$66K - $84K/yr

Location in Buffalo, NY is preferred, however, we may consider remote candidates in NYC or Boston ... using data, analytics and insights in a high volume, fast paced environment * Experience with ...

Raytheon

Program Proposal Data Analyst

Andover, MA · Remote

Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S ... life insurance, short-term disability, long-term disability, 401(k) match, flexible spending ...

New

Raytheon

Program Proposal Data Analyst

Andover, MA · Remote

Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S ... life insurance, short-term disability, long-term disability, 401(k) match, flexible spending ...

New

JLL

Data Collection Specialist II

Boston, MA · Remote

Requires analytical and quantitative skills with proven experience in developing strategic ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

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All JobsInsurance Data Analytics JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Boston, MA

Remote Insurance Data Analytics information

See Boston, MA salary details

$26

$59

$102

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

As of Jul 18, 2026, the average hourly pay for remote insurance data analytics in Boston, MA is $59.48, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $67.36 per hour, depending on experience, location, and employer.

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 Boston, MA? The most popular types of Insurance Data Analytics jobs in Boston, MA are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Boston, MA? For Remote Insurance Data Analytics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Boston, MA look for? The top searched job categories for Remote Insurance Data Analytics jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Insurance Data Analytics jobs? Cities near Boston, MA 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 Boston, MA as of July 2026, with employment types broken down into 4% Internship, 77% Full Time, 15% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $123,712 per year, or $59.5 per hour.
Sr Data Architect - Patient Services (Life Sciences)

Sr Data Architect - Patient Services (Life Sciences)

Tiger Analytics Inc.

Boston, MA • Remote

$73 - $97.75/hr

Full-time

Re-posted 22 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking a Data Architect - Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making.

Responsibilities:

  • Architecture & Modeling: Lead source-to-target mapping from external Hub vendors to internal systems (EDB). Define logical/conceptual data models and act as the primary SME for Patient Services data structures.
  • Data Stewardship: Partner with MDM teams to ensure accurate HCO mastering and hierarchy aggregation. Identify data gaps and design solutions to roll up Patient Access data across therapeutic areas.
  • Quality & Integrity: Proactively resolve data issues and define validation rules. Collaborate with DD&T to implement data quality checks within the pipeline ecosystem.
  • Vendor Accountability: Direct engagement with PS Hub vendors and aggregators to investigate root causes, enforce Data SLAs, and validate data fixes before and after transmission.
  • Analytics Enablement: Partner with Analytics & Insights (A&I) to build "Analytics Ready Data" (ARD) layers, ensuring data is reliable, actionable, and compliant with audit standards.

Requirements

  • 15 + yrs of experience in data architecture, data management, or data engineering roles.
  • Strong experience with healthcare, patient services, or life sciences data (mandatory).
  • Demonstrated expertise in data quality management, validation, and issue resolution.
  • Experience working with external vendors and complex data pipelines.
  • Strong SQL skills and experience querying enterprise data platforms.
  • Proven ability to translate business needs into data requirements and quality rules.
  • Experience supporting Patient Services / Hub data in a pharmaceutical or biopharma environment.
  • Familiarity with enterprise data warehouses (e.g., Snowflake, Oracle, Teradata) and data lakes.
  • Knowledge of data governance frameworks and master/reference data concepts.
  • Ability to operate in a matrixed, cross functional environment.

Key Competencies

  • Data ownership mindset and attention to detail
  • Strong analytical and problem-solving skills
  • Clear communicator with technical and nontechnical partners
  • Comfortable driving accountability across vendors and stakeholders
  • Able to balance operational rigor with strategic impact

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.


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