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Remote Insurance Data Analytics Jobs in Pittsburgh, PA

Cloud Data Architect

Pittsburgh, PA · Remote

$65.25 - $84/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Cloud Data Architect

Pittsburgh, PA · On-site +1

$62 - $79.50/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Senior AI/ML Architect

Pittsburgh, PA · Remote

$68.75 - $92/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Senior AI/ML Architect

Pittsburgh, PA · On-site +1

$65.25 - $87.25/hr

Our data analytics advisory services enable our customers to transform data into insights by ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

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 ...

... Data Analyst Hire Type Employee Remote Eligible Yes Base Salary Range: $152000 - $228000 ... Descriptions & Requirements and Requirements We Are: At Synopsys, we drive the innovations that ...

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Remote Insurance Data Analytics information

See Pittsburgh, PA salary details

$23

$53

$91

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

As of Jul 26, 2026, the average hourly pay for remote insurance data analytics in Pittsburgh, PA is $53.15, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $60.19 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 Pittsburgh, PA? The most popular types of Insurance Data Analytics jobs in Pittsburgh, PA are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Pittsburgh, PA? For Remote Insurance Data Analytics jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Pittsburgh, PA look for? The top searched job categories for Remote Insurance Data Analytics jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Remote Insurance Data Analytics jobs? Cities near Pittsburgh, PA with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 2% Internship, 77% Full Time, 12% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,550 per year, or $53.1 per hour.
Senior Data Governance Specialist

Senior Data Governance Specialist

Data Ideology

Pittsburgh, PA • Remote

Full-time

Medical, Retirement

Posted 27 days ago


Job description

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com 

Senior Data Governance Specialist - Full-time

The Senior Data Governance Specialist will support the design and implementation of data governance strategies that emphasize data ownership, quality, and lifecycle management. This role plays a key part in building a strong foundation for organizational data analytics by ensuring data is reliable, accessible, and well-managed.
This is a hands-on, cross-functional role working closely with both business and technical stakeholders to operationalize data governance practices across the organization. 

Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.  Other duties may be assigned to meet business needs.

  • Facilitate stakeholder meetings, workshops, and working sessions to gather requirements and support governance initiatives
  • Assess how data is stored, used, and managed across systems, files, and spreadsheets
  • Develop and implement data classification frameworks (e.g., Public, Internal, Confidential, Restricted)
  • Define and document data handling guidelines, including access, storage, and sharing protocols
  • Contribute to data lifecycle management policies, including retention and deletion standards
  • Help establish and support data ownership and stewardship roles across the organization
  • Identify and mitigate common data risks such as duplication, inconsistent definitions, and uncontrolled sharing
  • Support development and execution of phased data governance roadmaps
  • Create documentation, policies, and training materials to support adoption
  • Collaborate with internal teams to ensure consistent and high-quality implementation of governance practices

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • 5+ years of experience in data governance, data quality, or data management
  • Working knowledge of data governance frameworks and data lifecycle management
  • Experience supporting governance initiatives such as classification, ownership, and policy development
  • Ability to work with both business and technical stakeholders
  • Strong communication and facilitation skills
  • Experience developing documentation such as policies, standards, and process guides
  • Bachelor’s degree in Information Management, Data Science, Business Administration, or a related field

Work Environment: 

  • Remote work from home. 
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. 

Physical Demands: 

  • Must be able to remain in a stationary position 50% of the time. 
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. 
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. 
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. 

Benefits:   

  • Flexible Time Off Policy
  • Eligibility for Health Benefits
  • Retirement Plan
  • Training and Certification Reimbursement
  • Utilization Based Incentive Program
  • Commission Incentive Program
  • Referral Bonuses
  • Work from Home

Data Ideology is an EEO Employer
 

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