1

Associate In Insurance Data Analytics Jobs in Arizona

You'll also lead a team in developing impactful data visualizations and dashboards, providing ... life insurance, parental benefits, adoption assistance, paid time off program with paid holidays ...

You'll also lead a team in developing impactful data visualizations and dashboards, providing ... life insurance, parental benefits, adoption assistance, paid time off program with paid holidays ...

Your Impact Axon seeking a well-versed Data Analytics Engineer with expertise in SQL Server Management Studio (SSMS), Power BI, and/or SSRS to support and enhance analytics for Axon software ...

Hybrid in office + up to 50% travel required. Must be within commutable distance to one of our Hub locations listed below: (Scottsdale AZ, Seattle WA, Boston MA, Atlanta GA) Reports to: Director ...

Factory Data Analytics Engineer

Tucson, AZ

$108K - $130K/yr

With our three market leading businesses, world-class operations and investments in research and ... life insurance, short-term disability, long-term disability, 401(k) match, flexible spending ...

Requirements: * 4+ years of experience in data analytics with strong problem-solving skills. * Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems ...

next page

Showing results 1-20

Associate In Insurance Data Analytics information

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

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

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
What are popular job titles related to Associate In Insurance Data Analytics jobs in Arizona? For Associate In Insurance Data Analytics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Associate In Insurance Data Analytics jobs in Arizona look for? The top searched job categories for Associate In Insurance Data Analytics jobs in Arizona are:
What cities in Arizona are hiring for Associate In Insurance Data Analytics jobs? Cities in Arizona with the most Associate In Insurance Data Analytics job openings:
Infographic showing various Associate In Insurance Data Analytics job openings in Arizona as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution.
Director-HR Data & Analytics

Director-HR Data & Analytics

USAA

Phoenix, AZ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


USAA rating

8.3

Company rating: 8.3 out of 10

Based on 260 frontline employees who took The Breakroom Quiz

40th of 149 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values – honesty, integrity, loyalty and service – define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

We're looking for a collaborative and strategic HR leader to drive excellence in our HR functions through the power of data, and the ability to manage and develop a team of 10. In this role, you will be the bridge between HR, IT, and the business, ensuring our HR data solutions align with overall business strategy.

You will leverage your deep understanding of HR data models, data architecture principles, and business architecture practices to design and implement scalable solutions. You'll also lead a team in developing impactful data visualizations and dashboards, providing actionable insights to support data-driven decision-making. If you are a results-oriented leader with a passion for HR analytics, business alignment, and developing high-performing teams, we encourage you to apply.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio; TX, Plano; TX, Phoenix; AZ, Charlotte; NC, Tampa; FL or Colorado Springs; CO . Relocation assistance is available for this position.

What you'll do:

  • Responsible for development and execution of team strategic execution plan in coordination with departmental, CoSA, and Enterprise plans.

  • Accountable for internal customer relationship creation, sustainment, and strengthening through team execution and brand management.

  • Responsible for direct report performance management, talent development, and career progression planning

  • Accountable for overall teamwork product volume, quality, and business value delivery.

  • Accountable for overall team regulatory, risk, and internal control compliance.

  • Ensures industry trends and best practices are evaluated and integrated into current process, technology, and development strategic plans.

  • A strategic partner and subject matter expert in consulting and advising business partners on decision support solutions.

  • Encourages innovation, provides direction on work prioritization, manages capacity, assists with problem resolution.

  • Holds team members accountable for performance goals and establishes business-driven development plans for the team.

  • Partners with IT to build USAA core information delivery capabilities and assist process owners in retiring key UDAs.

  • Provides thought leadership and system thinking to influence relevant data, information, and application architecture decisions to include staying abreast of changes or evolution to industry standards.

  • Provides oversight and direction to the adherence of information governance and managements standards for Enterprise teams and CoSA/LOBs.

  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related work experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.

  • 8 years of experience in data and analytics, technical, or business-relevant function

  • OR If advanced degree in a STEM discipline, 6 or more years’ experience in data and analytics, technical, or business-relevant function.

  • 3 years of direct team lead or management experience.

  • Experience overseeing teams conduct cost benefit analyses and leveraging results to drive business intelligence solutions.

  • Experience guiding teams in the gathering and authoring of business intelligence solutions for large scale complex projects.

  • Advanced facilitation, collaboration and consensus building skills, with extensive experience in presenting to cross-functional teams and Senior/Executive leaders.

  • Demonstrated subject matter expertise in applying and creating business intelligence practices, methods, and problem-solving strategies.

  • Experience leading and coaching others in understanding and translating needs into requirements.

  • Expert knowledge of relevant regulatory compliance, industry regulations, risk management practices, and regulatory data sources.

  • SME developing business deliverables that leverage business intelligence platforms, data management platforms, or SQL-based languages (Tableau, Business Objects, Snowflake, Hadoop, Netezza, NoSQL, ANSI SQL, or related).

  • Demonstrated thought leadership in embedding intuitive story telling within the business intelligence solutions and platforms including concise presentation of complex technical details.

What sets you apart:

  • Expertise in Data Modeling and Architecture for HR: Demonstrated experience in designing, developing, and maintaining robust data models and data architectures specifically for HR data, HR analytics, and people insights. This includes a deep understanding of data warehousing principles and best practices.

  • Technical Proficiency in Data Engineering and Pipelines: Proven ability to manage data pipelines, understand data flow between systems (e.g., Workday to Snowflake), and possess the technical acumen to advise on data structuring, modeling, and storage within data warehouses like Snowflake. Experience in a hands-on technical role (Data Engineer, Software Engineer, Data Architect) is highly preferred.

  • Strategic Business Acumen and IT Collaboration: Ability to align data and technology solutions with overarching business strategy. This includes understanding business architecture principles and critically evaluating technical proposals from IT, providing informed input and pushing back when necessary to ensure efficient and effective solutions.

  • Data Visualization and Reporting Leadership: Experience leading teams in the creation and management of data visualizations and dashboards using tools such as Tableau, to deliver actionable insights and support data-driven decision-making.

  • People Management and Team Leadership: Proven experience in direct people management, including coaching, mentoring, and performance management. This also extends to the ability to provide technical guidance and direction to a data team, ensuring the quality and efficiency of their work.

  • HR Technology Landscape Knowledge: Familiarity with HR technology landscapes, including experience with HRIS systems and data models pertinent to HR Technology/Engineering and HR Data Architecture.

Compensation range: The salary range for this position is: $143,320.00 - $273,930.00.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

 

USAA 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 status as a protected veteran.


What USAA employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom