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Remote Insurance Data Analytics Jobs in Pennsylvania

The Pennsylvania State University

$56.20K - $81.50K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Responsibilities of the data analyst include: * Retrieving and analyzingdatafrom a variety of ...

CSAA

$77.10K - $102.10K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

CSAA

$81.40K - $107.80K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

CSAA

Senior Commercial Insurance Analyst - Remote

Indiana, PA · Remote

$80.40K - $106.50K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

CSAA

$75.30K - $99.70K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Please note we are hiring for this role remote anywhere in the United States with the following ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111.20K - $133.50K/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 ...

Clark Associates

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Remote Work Qualifications * Access to a reliable and secure high-speed internet connection. Cable ... Experience * 2-4 years of professional experience in data analytics, finance, or a related role

PANTHERx Rare Pharmacy

Data Analyst II

Pittsburgh, PA · On-site +1

Manager, Reporting and Analytics Purpose The Data Analyst II designs and develops analytical and ... Hybrid, remote and flexible on-site work schedules are available, based on the position. PANTHERx ...

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Remote Insurance Data Analytics information

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.

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 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.

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 are the most commonly searched types of Insurance Data Analytics jobs in Pennsylvania? The most popular types of Insurance Data Analytics jobs in Pennsylvania are:
What are popular job titles related to Remote Insurance Data Analytics jobs in Pennsylvania? For Remote Insurance Data Analytics jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Pennsylvania look for? The top searched job categories for Remote Insurance Data Analytics jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Remote Insurance Data Analytics jobs? Cities in Pennsylvania 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 Pennsylvania as of May 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 100% Remote job distribution.
Senior Data Governance Consultant

Senior Data Governance Consultant

Data Ideology LLC

Pittsburgh, PA • On-site, Remote

Contractor

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 Consultant - (Contract 1099)
Duration: 6-8 weeks
We are seeking a highly experienced Senior Data Governance Consultant to lead and execute a focused data governance engagement. This is a client-facing, delivery-driven role requiring a self-sufficient professional who can independently assess, design, and implement practical data governance solutions with minimal oversight.
The consultant will be responsible for driving the project end-to-end, facilitating stakeholder alignment, and delivering tangible governance artifacts and recommendations.
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.
  • Lead and independently manage the full lifecycle of a data governance engagement
  • Facilitate stakeholder interviews, workshops, and working sessions to gather requirements and drive decisions
  • Assess current-state data management practices across systems, files, and spreadsheets
  • Design and implement data classification frameworks (e.g., Public, Internal, Confidential, Restricted)
  • Develop actionable data handling guidelines, including access, storage, and sharing standards
  • Define data lifecycle policies, including retention and deletion practices
  • Establish data ownership and stewardship models with clear accountability
  • Identify and remediate data risks such as duplication, inconsistent definitions, and uncontrolled data sharing
  • Develop and deliver a clear, phased data governance roadmap with prioritized recommendations
  • Produce high-quality, client-ready deliverables including policies, frameworks, and presentations
  • Provide guidance and thought leadership to stakeholders throughout the engagement

Supervisory Responsibilities: None
Qualifications
Education and Experience:
  • 7+ years of experience in data governance, data management, or data strategy
  • Proven experience leading data governance initiatives independently or with minimal oversight
  • Strong ability to drive projects, manage stakeholders, and deliver outcomes in short timeframes
  • Expertise in data classification, governance frameworks, and lifecycle management
  • Excellent facilitation, communication, and executive presentation skills
  • Demonstrated ability to translate complex concepts into practical, actionable solutions
  • Bachelor's degree in a related field (Master's preferred but not required)

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.

Data Ideology is an EEO Employer

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