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Senior Insurance Data Analytics Jobs in Arizona (NOW HIRING)

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/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 ...

Associate, Provider Data Analytics

Tempe, AZ · On-site

$87.19K - $114.43K/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 ...

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/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 ...

Associate, Provider Data Analytics

Tempe, AZ · Hybrid

$87.19K - $114.43K/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 ...

Associate, Operations Data Analytics

Tempe, AZ · Hybrid

$91.66K - $120.30K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Sr. Managers and Associate Directors * Analyze data to support business teams in making better ...

Associate, Operations Data Analytics

Tempe, AZ · On-site

$91.66K - $120.30K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Sr. Managers and Associate Directors * Analyze data to support business teams in making better ...

Associate, Operations Data Analytics

Tempe, AZ · Hybrid

$91.66K - $120.30K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Sr. Managers and Associate Directors * Analyze data to support business teams in making better ...

Sr Data Analyst

Phoenix, AZ · Hybrid

$89.99K - $143.09K/yr

Utilize Power BI and other advanced analytics tools to deliver comprehensive and high-impact ... We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k) ...

Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days ... Experience using reporting and analytics tools such as Power BI and Microsoft Excel to develop ...

Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days ... Experience using reporting and analytics tools such as Power BI and Microsoft Excel to develop ...

Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days ... Experience using reporting and analytics tools such as Power BI and Microsoft Excel to develop ...

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Showing results 1-20

Senior Insurance Data Analytics information

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 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 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.

How much does a senior data analyst make at American Family Insurance?

A senior data analyst at American Family Insurance typically earns between $70,000 and $100,000 annually, depending on experience, location, and skills. Compensation may also include bonuses and benefits related to data analysis tools and insurance industry knowledge.

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 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 Senior Insurance Data Analytics jobs in Arizona? For Senior Insurance Data Analytics jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Insurance Data Analytics jobs in Arizona look for? The top searched job categories for Senior Insurance Data Analytics jobs in Arizona are:
What cities in Arizona are hiring for Senior Insurance Data Analytics jobs? Cities in Arizona with the most Senior Insurance Data Analytics job openings:
Cloud Data & Analytics Strategy Senior Associate (Insurance)

Cloud Data & Analytics Strategy Senior Associate (Insurance)

Pwc

Phoenix, AZ • On-site

$66.75 - $89.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

20th of 57 rated business consultants


Job description

Industry/Sector

Insurance

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Use feedback and reflection to develop self awareness, personal strengths and address development areas.
  • Delegate to others to provide stretch opportunities, coaching them to deliver results.
  • Demonstrate critical thinking and the ability to bring order to unstructured problems.
  • Use a broad range of tools and techniques to extract insights from current industry or sector trends.
  • Review your work and that of others for quality, accuracy and relevance.
  • Know how and when to use tools available for a given situation and can explain the reasons for this choice.
  • Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
  • Use straightforward communication, in a structured way, when influencing and connecting with others.
  • Able to read situations and modify behavior to build quality relationships.
  • Uphold the firm's code of ethics and business conduct.

Job Requirements and Preferences:
Basic Qualifications:
Minimum Degree Required:
Bachelor Degree
Minimum Years of Experience:
4 year(s)
Preferred Qualifications:
Certification(s) Preferred:

Certification in one of the following cloud platforms -AWS/Azure/GCP

Preferred Knowledge/Skills:

Demonstrates thorough abilities and/or success in one or many of the following areas:

  • Demonstrating an expertise in developing and implementing data or analytics-driven strategies to drive business growth and optimize decision-making;
  • Defining data management and data/analytics governance strategy and align data initiatives with organizational goals;
  • Conducting data/analytics strategy refresh on a regular basis and managing overall data strategy program success;
  • Delivering strategy and transformation projects;
  • Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers - AWS, Azure, GCP;
  • Implementing cloud data architecture and data integration patterns for one or more of the cloud providers (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform);
  • Understanding and thorough knowledge of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas);
  • Applying knowledge and work experience in Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL/ELT pipeline development (tools: IICS/AWS Glue/SAP BODS/Matillion/DBT/Abinitio/SSIS/SnapLogic); preferable in P&C/L&A Insurance data warehouse;
  • Developing file and object-based storage solutions using Azure ADLS 2.0 or AWS S3;
  • Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark;
  • Designing and developing advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process;
  • Understanding of enterprise data concepts such as Master Data Management Data Governance and Enterprise Data Warehouse;
  • Applying leading practices in supporting high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements;
  • Understanding and familiarity of one or more is a big plus - CI/CD, cloud devops, containers (Kubernetes/Docker, etc.);
  • Understanding of insurance data, underlying KPIs and how they are used; and,
  • Demonstrating prior P&C/L&A Insurance industry experience.

Demonstrates thorough abilities with, and/or a proven record of success directing efforts in the following areas:

  • Demonstrating prior Big 4 or proven consulting experience in strategy through execution projects;
  • Working closely with business stakeholders to capture and document business objectives/requirements, ability to translate business and technology objectives to next generation cloud, digital and technology solution architectures;
  • Understanding how the application of analytical techniques correlated to business value and being able to select the appropriate analytical techniques for the problem at hand;
  • Willing to learn and apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
  • Understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
  • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating cogently in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
  • Demonstrating leadership experience, including providing coaching, feedback and guidance on work performance.

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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