ZipRecruiter

Log In

2

Remote Insurance Data Analytics Jobs in Pittsburgh, PA

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

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 ...

Hitachi

Data Analytics Engineer

Mount Pleasant, PA · Remote

$111.20K - $133.50K/yr

Quality Management Job Schedule: Full time Remote: No The Opportunity At Hitachi Energy, we're ... As part of our High Voltage Products Business Unit, the Data Analytics Engineer position will play ...

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

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 ...

Standard, The

Product Owner - Data & Analytics

Pittsburgh, PA · Remote

$109.75K - $186.50K/yr

... LI-REMOTE Why Join The Standard? We have built an enduring legacy of stability, financial strength ... Standard Insurance Company, The Standard Life Insurance Company of New York, Standard Retirement ...

Data Ideology

Data Engineer

Pittsburgh, PA · Remote

$117.20K - $140.70K/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 ...

Data Ideology LLC

Data Engineer

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 ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117.20K - $140.70K/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 ...

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 ...

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 ...

next page

Showing results 1-20

People also search for

All JobsRemote Insurance Data Analytics JobsRemote Insurance Data Analytics Jobs in Pittsburgh, PA

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 May 28, 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 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 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:
Remote Insurance Data Analytics jobs near you
Data Analyst

Data Analyst

Data Ideology

Pittsburgh, PA • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 13 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  
Data Analyst
Job Type: Full-Time, 6-Month Fixed-Term (Renewable)
This is a full-time position with an initial 6-month term. Employment may be extended based on business needs and performance but is not guaranteed.

We are seeking a Data Analyst to join our growing team. In this role, you will combine business and technical expertise to support a cloud data warehouse migration, partnering with cross-functional teams to analyze data, define requirements, and deliver scalable data solutions.
Key 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.

  • Analyze source systems and data warehouse structures to support transformation into new data products, including performing gap analysis and identifying data requirements
  • Write and execute SQL queries to explore, validate, and interpret data across systems with limited documentation
  • Translate complex data logic into clear insights for both technical and non-technical stakeholders, including identifying edge cases and validating business rules
  • Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible
  • Perform data validation, testing, and root cause analysis to ensure data quality and resolve issues
  • Contribute to proof-of-concepts, test case development, and scalable validation approaches for complex datasets
  • Partner with cross-functional teams to prioritize work, present findings, and support data storytelling through reports, visualizations, and diagrams
  • Document data mappings, definitions, and standard processes to support ongoing development and maintenance
Supervisory Responsibilities: None
Qualifications
Education and Experience:
Education and Experience:
  • Bachelor’s degree in Computer Science, a related field, or equivalent experience
  • 2+ years of experience writing SQL queries and/or stored procedures, with the ability to work independently on data exploration
  • 3+ years of experience performing data analysis within a data warehouse environment (e.g., Oracle, SQL Server, Snowflake)
  • Experience working with cloud-based data platforms (e.g., Snowflake, Azure SQL) preferred
  • Experience querying and analyzing semi-structured or non-relational data (e.g., JSON) preferred
  • Familiarity with Agile development methodologies
  • Healthcare industry experience a plus
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: Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer
 

Powered by JazzHR

4gOYyrvLpk