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Insurance Data Analytics Jobs in Arizona (NOW HIRING)

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Oscar is the first health insurance company built around a full stack technology platform and a ... The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions ...

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

Analyze and interpret complex data sets to identify trends, patterns, and actionable insights that ... life insurance, short-term disability, long-term disability, 401(k) match, flexible spending ...

New

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Tasks and ... Performs data analytics on various processes and projects to measure post-implementation ...

Data Analyst I

Yuma, AZ · On-site

$81K - $95K/yr

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science ... Vision insurance * Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid ...

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science ... Vision insurance * Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid ...

Bachelor's degree in a technical field (Data Analytics, Information Technology, Computer Science ... Life Insurance * 401(k) Retirement Plan with matching * Paid Time Off * Paid Federal Holidays ...

Potential to share and teach skills around advanced data analytics and data evaluation * Handling a ... Medical insurance * Prescription drug plans * Dental & Vision plan with hearing care discounts

New

This role will leverage fairlife's Unified Factory Data Model (UFDM) and analytics platform to ... Company-paid life insurance and short-term disability * Employer HSA funding (for HDHP participants)

Be Seen First

Bachelor's degree in Data Analytics, Computer Science, Business, or related field (Master ... years), life insurance, gym reimbursement, tuition reimbursement, maternity/paternity leave ...

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Insurance Data Analytics information

See Arizona salary details

$22

$51

$88

How much do insurance data analytics jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for insurance data analytics in Arizona is $51.02, according to ZipRecruiter salary data. Most workers in this role earn between $41.01 and $57.79 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

Insurance Data Analytics involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve underwriting accuracy. Data analysts in this field use statistical tools and machine learning techniques to inform decision-making and optimize insurance operations.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

Is 40 too late for data science?

For an Insurance Data Analytics role, starting a career in data science at age 40 is feasible, as the field values skills, experience, and continuous learning over age. Many professionals transition into data analytics later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications.

Is AI replacing data analysts?

Insurance Data Analysts use AI tools to enhance data processing and insights, but AI is not replacing the role entirely. Instead, it automates routine tasks, allowing analysts to focus on complex analysis, strategy, and decision-making that require human judgment and domain expertise.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Arizona? The most popular types of Insurance Data Analytics jobs in Arizona are:
Infographic showing various Insurance Data Analytics job openings in Arizona as of June 2026, with employment types broken down into 92% Full Time, 1% Part Time, and 7% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $106,117 per year, or $51 per hour.
Associate, Provider Data Analytics

Associate, Provider Data Analytics

Oscar Health

Tempe, AZ • Hybrid

$87K - $114K/yr

Other

PTO

Posted 15 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

228th of 261 rated insurance


Job description

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data Operations team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.

About the role:

The Associate, Provider Data Analytics reviews provider data-related issues and scales solutions through impact analysis. We are looking for collaboration with business and technical stakeholders to represent departmental needs in company-wide strategic initiatives and problem-solving. Key responsibilities include understanding business requirements, building and managing project plans, documenting decisions, and developing risk mitigation and change management strategies.

You will report into the Senior Manager, Provider Data Operations.

Work Location: This position is based in our Tempe, Arizona office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $87,188.40 - $114,434.78 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities:

  • Leads end-to-end management of cross-functional projects related to provider data issues, including issue analysis, stakeholder engagement, coordination of cross-functional relationships to drive collaboration, and participation in testing to ensure accurate and effective solutions
  • Collaborates with internal and external stakeholder groups to develop proactive solution plans for data issues, including communication strategies and program initiatives for successful change management and risk mitigation
  • Identifies trends in provider data issues and scale solutions by leveraging various analytics to assess the overall impact
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • A bachelor's degree or 3+ years commensurate experience
  • 3+ years of work experience in operations, health insurance, data analysis, and/or consulting
  • 2+ years of experience using SQL and Excel
  • 2+ years of experience with end to end project management
  • 2+ years of experience in designing and improving workflows as well as standing up accompanying operating and technical procedures
  • 2+ years of experience with process improvement methodologies such as Lean, Six Sigma

Bonus points:

  • Bachelor's degree in Engineering, Business Administration, or other related field
  • Lean Six Sigma Green Belt certification or higher