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Senior Insurance Data Analytics Jobs (NOW HIRING)

Senior Insurance Data Analyst

Irving, TX ยท On-site

$82K - $104K/yr

JOIN OUR TEAM AS A SENIOR INSURANCE DATA ANALYST ... We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the ...

Senior Insurance Data Science Consultant

Boston, MA ยท Remote

$89K - $109K/yr

We are seeking a highly experienced and strategically-minded Senior Insurance Data Science ... Lead pricing strategy discussions using advanced analytics and actuarial insight, ensuring ...

The Role We're seeking a Senior Insurance Data Scientist to build the pricing and underwriting ... Hands-on experience with insurance loss data, loss development, exposure analysis, and rate ...

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 ...

Oscar is the first health insurance company built around a full stack technology platform and a ... You will report into the Senior Manager, Provider Data Operations. Work Location: This is a remote ...

Oscar is the first health insurance company built around a full stack technology platform and a ... You will report into the Senior Manager, Provider Data Operations. Work Location: This is a remote ...

Associate, Provider Data Analytics

Tempe, AZ ยท Hybrid

$87K - $114K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... You will report into the Senior Manager, Provider Data Operations. Work Location: This position is ...

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Senior Insurance Data Analytics information

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

As of Jul 9, 2026, the average hourly pay for senior insurance data analytics in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

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

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What does a Senior Insurance Data Analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are some common challenges faced by Senior Insurance Data Analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.
What cities are hiring for Senior Insurance Data Analytics jobs? Cities with the most Senior Insurance Data Analytics job openings:
What are the most commonly searched types of Insurance Data Analytics jobs? The most popular types of Insurance Data Analytics jobs are:
What states have the most Senior Insurance Data Analytics jobs? States with the most job openings for Senior Insurance Data Analytics jobs include:
Senior Insurance Data Analyst

Senior Insurance Data Analyst

Orion180

Irving, TX โ€ข On-site

$82K - $104K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

At Orion180, we don't just stand out for what we do; we shine because of how we do it. Our mission is to deliver an exceptional insurance experience through innovative technology, unparalleled customer service, and a comprehensive suite of products. Our vision is to be the premier global provider of insurance solutions and redefine the insurance industry.
Orion180 is proud to call three vibrant cities home. Our headquarters on Florida's stunning Space Coast in Melbourne offers an exceptional quality of life, with affordable housing, excellent transportation, and close proximity to major cities like Orlando, Tampa, and Miami. Our Irving, Texas, office places us in a dynamic center of culture, business, and entertainment, keeping us closely connected to innovation and growth. Our Draper, Utah, location, nestled in the heart of the Salt Lake Valley, connects us to a rapidly growing tech ecosystem and provides access to the outdoor lifestyle and natural beauty the region is known for.
JOIN OUR TEAM AS A SENIOR INSURANCE DATA ANALYST!!
We believe analytics isn't a back-office function. It's not a reporting layer bolted onto the business after the real decisions get made. It's the foundation that tells you where risk actually lives, where growth is hiding, and where you're missing opportunities before it's too late to do anything about it.
That belief is driving real investment in our people, platforms, and in how deeply analytics is woven into the way we operate. From underwriting to distribution to customer experience, we're building a data culture where insight drives action.
It also means evolving how we think about the role of an analyst.
The expectation isn't just technical execution. It's curiosity. Ownership. The ability to step into ambiguity, frame the problem, and help guide the business toward better decisions.
To be eligible for this role, you must have the proper work authorizations to work in the US without sponsorship
WHAT YOU'LL DO:
Data Strategy & Pipeline Development
  • Develop and maintain reproducible, scalable data pipelines to support advanced modeling and analytics workflows.
  • Design and implement predictive and time-series models using classical and machine learning methods.
  • Collaborate with sales, underwriting, claims, and actuarial teams to integrate models into production environments.

Modeling & Analysis
  • Leverage Python, SQL, and statistical analysis to identify key data patterns and multivariate correlations.
  • Conduct exploratory data analysis and ensure data integrity across structured and unstructured datasets.
  • Document model assumptions, governance processes, and validation results to maintain compliance with regulatory standards.

Visualization & Communication
  • Build intuitive dashboards and data visualizations using Power BI that translate complex insights into clear business intelligence.
  • Communicate findings and recommendations to cross-functional teams, including leadership and technical partners.
  • Stay current with industry trends and emerging data science tools to continuously improve analytical capabilities.

WHAT WE'RE LOOKING FOR:
Education:
  • Bachelor's degree in Statistics, Data Science, Computer Science, Mathematics, or a related field

Experience:
  • Proven experience in data analysis, modeling, and visualization within the insurance or financial services industry.
  • Proficiency in Python, SQL optimization, statistical modeling, API development, and forecasting techniques.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP and familiarity with MLOps frameworks.
  • Strong understanding of both data science and actuarial principles.

Skills & Attributes:
  • Excellent analytical, problem-solving, and critical-thinking skills.
  • Strong communication and collaboration abilities across technical and non-technical teams.
  • Ability to manage multiple projects in a fast-paced, results-driven environment.

This is position is 100% onsite in our Irving, TX location
We are interested in candidates who are developing capabilities aligned with modern, forward-looking analytics practices. This includes experience or familiarity with semantic data modeling and governed metric layers, working within scalable cloud data platforms (e.g., Snowflake, Databricks), and integrating analytics within broader data engineering workflows. Exposure to emerging capabilities such as AI-assisted analysis, automated insight generation, and advanced data visualization techniques is highly valued.
Join Our Team & Make an Impact! At Orion180, we don't just meet expectations, we exceed them. If you're ready to take your career to the next level and be part of a growing, forward-thinking company, apply today!
  • Dynamic Environment: On-site role with a fast-paced and collaborative team culture. Results-driven office where your contributions make a real impact.
  • Compensation: Competitive base pay and performance bonuses.
  • Career Growth: Mentorship, growth tracks, and professional development.
  • Benefits: Medical, dental, vision, 401k, paid holidays, PTO and more!

The office environment is fast-paced and collaborative. An employee must be willing and able to work their regularly assigned work schedule onsite, and in times of need, be able to work an extended schedule depending on company or departmental needs, project requirements, or customer demands.
While performing general duties for this position, the employee is regularly required to sit, stand, and/or walk around (including the use of stairs). Other demands include the ability to openly communicate with others by talking, listening, comprehending, and reading; being able to lift light objects (<25 lbs); and using standard office equipment such as computers, printers, and phones. In addition, there is an occasional need to bend, twist, or squat down to open/close cabinets and reach for files or other standard office-type objects.
Orion180 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Reasonable accommodations are available for qualified individuals with disabilities during the application process. Applicants who need accommodations may email hr@orion180.com to request assistance.