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Insurance Data Analytics Jobs in Arizona (NOW HIRING)

We believe pet insurance is more than a financial product and build solutions to simplify the pet ... Uses analytics and metrics to improve processes and provide data-driven forecasts of potential ...

(USA) Senior, Data Analyst

New River, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Sun City, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Avondale, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Guadalupe, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Anthem, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Goodyear, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Peoria, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Youngtown, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Glendale, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

El Mirage, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Tolleson, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Aguila, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Surprise, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

(USA) Senior, Data Analyst

Gila Bend, AZ · On-site

$80K - $155K/yr

Background in data analytics, software development, or web development * Familiarity with applying ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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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 Jul 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?

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 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.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

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:
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:
Analyst- Analytics and Data Science II-III (Remote)

Analyst- Analytics and Data Science II-III (Remote)

Blue Cross Blue Shield of Arizona

Phoenix, AZ • Hybrid

Full-time

Posted 24 days ago


Blue Cross Blue Shield Of Arizona rating

5.9

Company rating: 5.9 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

263rd of 281 rated insurance


Job description

Awarded a Healthiest Employer, Blue Cross Blue Shield of Arizona aims to fulfill its mission to inspire health and make it easy.AZ Blue offersa variety of health insurance products and services to meet the diverse needs of individuals, families, and small and large businesses as well as providing information and tools to help individuals make better health decisions.

At AZ Blue, we have a hybrid workforce strategy, called Workability, that offers flexibility with how and where employees work. Our positions are classified as hybrid, onsite or remote. While the majority of our employees are hybrid, the following classifications drive our current minimum onsite requirements:

  • Hybrid People Leaders: must reside in AZ, required to be onsite at least twice per week

  • Hybrid Individual Contributors: must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per week

  • Hybrid 2 (Operational Roles such as but not limited to: Customer Service, Claims Processors, and Correspondence positions): must reside in AZ, unless otherwise cited within this posting, required to be onsite at least once per month

  • Onsite: daily onsite requirement based on the essential functions of the job

  • Remote: not held to onsite requirements, however, leadership can request presence onsite for business reasons including but not limited to staff meetings, one-on-ones, training, and team building

Please note that onsite requirements may change in the future, based on business need, and job responsibilities. Most employees should expect onsite requirements and at a minimum of once per week.

This remote work opportunity requires residency, and work to be performed, within the State of Arizona.

Purpose of the job
  • Provide strategic analysis that impacts business decisions, improves efficiency and drives innovation. Perform data extraction, healthcare cost analysis, analytical model development, as well as production of various reports to support corporate strategies and initiatives. Execute complex analyses that guide the development of reimbursement policy, provider negotiations, network development, value-based care, population health management, utilization management programs and other medical cost containment solutions.
Qualifications

REQUIRED QUALIFICATIONS

Required Work Experience

  • 1 year of experience in data analysis using analytic tools and processes (Level 1)
  • 3 years of experience in data analysis using analytic tools and processes (Level 2)
  • 3 years of experience working for a healthcare organization/heath insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 3)
  • 5 years of experience working for a healthcare organization/heath insurer in data analysis using analytic tools and processes using advanced SAS procedures and/or data mining (Level 4)

Required Education

  • Bachelor's Degree in mathematics, statistics, business, or related field of study (Applies to All Levels)

Required Licenses

  • N/A

Required Certifications

  • N/A

PREFERRED QUALIFICATIONS

Preferred Work Experience
  • 1 year of experience in data analysis working for a healthcare organization / health insurer (Level 1)
  • 3 years of experience working for a healthcare organization / health insurer, including development of business analytics and financial impact analyses (Level 2)
  • 5 years of experience working for a healthcare organization / health insurer, including development of business analytics and financial impact analyses (Levels 3, 4)
Preferred Education
  • Master's Degree in mathematics, statistics, business, or related field of study. (Applies to All Levels)
Preferred Licenses
  • N/A

Preferred Certifications

  • N/A
ESSENTIAL job functions AND RESPONSIBILITIES

Level 1

  • Provide accurate, timely and reliable delivery of data, metrics, reporting and analysis in support of multiple strategic goals, mandates, and legislation
  • Develop processes, write programs and/or create databases using analytic tools to produce accurate and timely completion of analytic solutions
  • Identify, analyze, interpret and validate healthcare data metrics, trends and patterns
  • Develop and analyze business performance reports (e.g. for claims data, provider data, utilization data) and provide notations of performance deviations and anomalies.
  • Model financial impact analyses for a variety of business initiatives
  • Partner with peers to establish, evaluate, and continually improve measurement methodologies, while adhering to nationally accepted analytic and reporting standards
  • Act as liaison to both internal business partners and external providers or vendors
  • Create, modify, maintain, and enhance existing programming or business processes associated with specific responsibilities.
  • Interpret, communicate, and present results to all levels of management in consistent and easy to understand formats to facilitate fact-based decision-making.
  • Complete projects within preset timelines and report status to supervisor and project manager.
  • Prepare written documentation on projects to provide a peer review trail and ensure continuity and integrity.
  • Build and maintain close working relationships with internal stakeholders and key external client contacts (e.g. Providers, Internal Clinicians, Vendors, Customers, Brokers, BCBS Association, Blues Plans, Auditors).

Level 2

  • Serve as an internal analytics consultant to define business questions and transform data and analysis into meaningful and actionable information for a variety of business areas
  • Perform complex analyses and interpret complex calculations to recommend actions and solutions
  • Develop financial models needed to accomplish analytic goals
  • Serve as subject matter expert for internal stakeholders
  • Design and deliver self-service business intelligence tools to internal customers
  • Make sound assumptions and fact-based recommendations and discuss with supervisor, manager, or project manager.
  • Effectively communicate results and recommendations to internal and external customers.
  • Provide self- and peer-review of job responsibilities
  • Share knowledge of skills, projects, and business needs with peers and less-experienced analysts. Train new analysts.
  • Report to a supervisor or manager who provides general supervisory instructions, manages projects and reviews results. Develops own work-plans, and discusses timelines, prioritization, and objectives with supervisor or manager.

Level 3

  • Create and research analyses and recommendations which help achieve corporate initiatives and goals
  • Produce complex analytic solutions and consolidate complex analytics into easy-to-understand presentations focused on business implications
  • Deliver business intelligence to clients by applying and demonstrating expertise in the areas of advanced analytics, forecasting, data extrapolation, and predictive modeling
  • Communicate (both verbally and in writing) and interpret results, recommendations and abstract concepts to internal and external customers. Anticipate and address possible customer questions and concerns.
  • Report to a supervisor or manager who provides minimal supervisory instructions, limited project management, and minimal or limited review of results beyond pre-release peer review.
  • Train and mentor other analysts.

Level 4

  • Drive and implement complex and critical analytic initiatives with minimal oversight. Includes working independently on creating timelines, working with other areas to define deliverables, monitoring progress, implementing the project and resolving/monitoring post-implementation issues.
  • Represent the department when meeting/strategizing with leadership of other areas, practicing situational awareness and balancing the business needs with prioritization of analytics resources.
  • Review results post-implementation to ensure projections are realized and recommend modifications as applicable.
  • Incorporate strategic planning in all areas of responsibility, collaborating with internal business partners to define and execute strategy or direction.
  • Participate in leading overall strategic direction and execution of data, analytical and reporting capabilities, tools, outputs, insights and business/clinical interpretation and advisory services.

ALL LEVELS

  • Each progressive level includes the ability to perform the essential functions of any lower levels and mentor employees in those levels.
  • The position requires a full-time work schedule. Full-time is defined as working at least 40 hours per week, plus any additional hours as requested or as needed to meet business requirements.
  • Perform all other duties as assigned.
competencies

REQUIRED COMPETENCIES

Required Job Skills (Applies to All Levels)

  • Intermediate PC proficiency
  • Intermediate proficiency in database, presentation, spreadsheet and word processing software
  • General proficiency in mathematical concepts
  • Intermediate proficiency in computer programming, including SAS and other business intelligence programs
  • Intermediate understanding of data management principles
  • Advanced skills in mathematics and statistics (Applies to Levels 2 - 4)
  • Intermediate skill with SAS/SQL programming (Applies to Levels 2 - 4)
  • Advanced understanding of data management principles (Level 3-4)
  • Proficiency in SAS Enterprise Business Intelligence software (Level 3-4)
  • Intermediate skill with data visualization tools, such as Tableau (Level 3-4)

Required Professional Competencies (Applies to All Levels)

  • General knowledge of the healthcare industry
  • Broad understanding of health insurance terms and concepts
  • Analytical knowledge necessary to generate analytic solutions
  • Ability to solve problems independently and draw accurate conclusions from data using basic analytic techniques
  • Ability to deal with ambiguity and make recommendations with less than complete or conflicting information
  • Skill in prioritizing tasks and working with multiple priorities, sometimes under limited time constraints
  • Ability to maintain confidentiality and privacy
  • Ability to communicate effectively, both orally and in writing, to all levels in all departments
  • Ability to distill and communicate financial levers and impacts to non-technical audiences
  • Ability to build and maintain productive working relationships with others
  • Proactive about requesting enough information to fully understand and meet the business need.

Required Leadership Experience and Competencies (Applies to All Levels)

  • N/A

PREFERRED COMPETENCIES

Preferred Job Skills (Applies to All Levels)

  • Advanced proficiency in spreadsheet, database and word processing software
  • Intermediate proficiency with data warehouses and query tools / design
  • Intermediate skill with data visualization tools, such as Tableau
  • Intermediate proficiency with development, testing, and management of Tableau Dashboards
  • Intermediate understanding of data management principles
  • Advanced skill in database, spreadsheet, business intelligence, statistical, and data cubing software
  • Familiarity with provider network design processes and strategies
  • Knowledge of health benefit design and rating techniques
  • Advanced skills in mathematics and statistics
  • Proficiency in SAS Enterprise Business Intelligence software
  • Advanced understanding of data management principles

Preferred Professional Competencies (Applies to All Levels)

  • Project management skill needed to create timelines, track deliverables and progress, resolve issues, and communicate project status

Preferred Leadership Experience and Competencies (Applies to All Levels)

  • Ability to engage and collaborate with team members and business stakeholders at all levels of the organization
  • Ability to make decisions in a timely manner, sometimes with incomplete information and under tight deadlines
  • High standard of performance while pursuing aggressive goals
  • Principled leadership and sound business ethics

Our Commitment

AZ Blue does not discriminate in hiring or employment on the basis of race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other protected group.

Thank you for your interest in Blue Cross Blue Shield of Arizona. For more information on our company, see azblue.com. If interested in this position, please apply.


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