ZipRecruiter

Log In

1

Insurance Data Analytics Jobs in Arizona (NOW HIRING)

Oscar Health

Manager, Data Analytics

Tempe, AZ · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

Oscar Health

Manager, Data Analytics

Tempe, AZ · Hybrid

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

Oscar Health

Manager, Data Analytics

Tempe, AZ · On-site

$111K - $145K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... The Data Analytics Manager works across and outside the organization to solve complex data issues.

Tata Consultancy Service Limited

Data Analyst

Phoenix, AZ · On-site

$90K - $130K/yr

This role provides opportunities to deepen your expertise in data analytics, data management, data ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Collabera

Data Analyst

Phoenix, AZ · On-site

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

Shamrock

Operations Data Analyst

Phoenix, AZ · On-site

Deliver Solutions - Partner with development teams to implement analytics templates and processes ... That's why Shamrock Foods pays for the majority of your health insurance, allowing you to take home ...

next page

Showing results 1-20

All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Arizona

Insurance Data Analytics information

See Arizona salary details

$22

$51

$88

How much do insurance data analytics jobs pay per hour?

As of Aug 9, 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 insurance data analytics?

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?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

What is insurance data analytics?

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:
What are popular job titles related to Insurance Data Analytics jobs in Arizona? For Insurance Data Analytics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Insurance Data Analytics jobs in Arizona look for? The top searched job categories for Insurance Data Analytics jobs in Arizona are:
Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Arizona as of August 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Temporary. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution, with an average salary of $106,117 per year, or $51 per hour.

Manager, Data Analytics

Oscar Health

Tempe, AZ • Hybrid

$111K - $145K/yr

Full-time

PTO

Re-posted 12 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

251st of 304 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Analytics Manager to join our 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 Data Analytics Manager works across and outside the organization to solve complex data issues. You will work collaboratively to assess data related issues, understand the cause of those issues, and partner with the engineering, data, and customer success teams to implement solutions. You will understand the use, flow, and generation of data within a complex ecosystem of business processes and will need to explain your findings to audiences with varying degrees of technical knowledge. You will drive the scoping & execution of analytical requests, including working with team members to define important questions, scope methodologies, and achieve results.

Work Location: This position is based in our Tempe, AZ 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: $111,034.80 - $145,733.18 per year. You are also eligible for employee benefits, unlimited PTO and annual performance bonuses.

Responsibilities:

  • Communicate with external customers and our teams to evaluate data issues, serving as the first point of contract for production issues
  • Ask questions to determine the cause and business impacts of issues that are raised surrounding our data
  • Partner with engineering and data teams to find solutions to data issues within a complex system architecture that prioritize accuracy, customer satisfaction, and scalability
  • Partner with business teams to explain complex technical and data issues to non-technical colleagues, including packaging and presenting findings
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our users' needs evolve
  • Identify opportunities to create models and tools that improve processes and overall improve efficiency
  • Collaborate across the organization with internal and external leaders, to identify actions to achieve improvements and monitor initiative impact
  • Support other projects as assigned to meet our needs
  • Lead a team of data analysts
  • Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED)
  • Other duties as assigned (DO NOT REMOVE - REQUIRED)

Requirements:

  • 4+ years of technical work experience using analytical tools and writing analytical reports
  • 4+ years in a client-facing role with experience managing issues externally
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • 5+ examples/projects of experience communicating updates and resolutions to customers and other partners, around business reporting impact and requirements
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
  • 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
  • 1+ years experience in healthcare, finance or the insurance industry

Bonus points:

  • 2+ years experience in preparing healthcare analytics, reporting, and data management
  • Experience with ticketing system (such as Jira)
  • Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests

What Oscar Health employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply