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Associate In Insurance Data Analytics Jobs in Florida

VHB

Transportation Data Analytics Lead

Orlando, FL · On-site

ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering Locations | VHB ... participate in the VHB 401(k) plan, medical, dental, vision, life, and disability insurance ...

VHB

Transportation Data Analytics Lead

Orlando, FL · Hybrid

Overview ABOUT THE POSITION Transportation Data Analytics Lead - Transportation Engineering ... participate in the VHB 401(k) plan, medical, dental, vision, life, and disability insurance ...

Northrop Grumman

Data Analytics Manager 2

Melbourne, FL · On-site

$126K - $189K/yr

Northrop Grumman Aerospace Systems (NGAS) is seeking a Data Analytics Manager to lead the Program ... In addition, Northrop Grumman provides a variety of benefits including health insurance coverage ...

TransUnion

Analyst - Insurance Solutions

Boca Raton, FL · On-site

$19 - $25.75/hr

Conduct data analysis on customer, product, and operational metrics to identify trends, anomalies ... We strive to build an environment where our associates are in the driver's seat of their ...

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Transunion

Analyst - Insurance Solutions

Boca Raton, FL

$19 - $25.75/hr

Conduct data analysis on customer, product, and operational metrics to identify trends, anomalies ... We strive to build an environment where our associates are in the driver's seat of their ...

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Associate In Insurance Data Analytics information

What is an 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 are the key skills and qualifications needed to thrive as an associate in insurance data analytics?

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 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.

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 popular job titles related to Associate In Insurance Data Analytics jobs in Florida?

For Associate In Insurance Data Analytics jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Associate In Insurance Data Analytics jobs in Florida look for?

The top searched job categories for Associate In Insurance Data Analytics jobs in Florida are:

What cities in Florida are hiring for Associate In Insurance Data Analytics jobs?

Cities in Florida with the most Associate In Insurance Data Analytics job openings:

Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Florida as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% In-person, and 18% Remote job distribution.

AIA - Insurance - Service Line Sales Specialist

Tampa, FL • On-site

Cognizant
See more jobs at Cognizantexternal

$160K - $185K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

Job description

AIA - Service Line Specialist for Insurance

Associate Director

Location: Des Moines, IA, NJ, NY, West Coast

About the Role

As a Data, Analytics and AI Service Line Specialist, you will play a key role in driving business growth through consultative selling of data, analytics and AI capabilities and offerings.

You will collaborate with cross-functional teams, business leaders, and key stakeholders to identify opportunities, cross-sell and up-sell. You will also work with the Partner network on joint GTM. You will be responsible for profitable growth of your portfolio.

Work Model

Hybrid. Travel to client offices within travel distance, is expected 2-4 days in a week. If you are not at a client location or in travel, you would be expected to work from nearest Cognizant office within 50-mile radius for 2-3 days in a week. On a need basis, accommodations will be made for some exception situations.

Regardless of your working arrangement, we are committed to supporting work-life balance through our wellbeing programs.

What You Need to Have to Be Considered
  • Minimum 5 years in Selling Data & Analytics Solutions and Services
  • Bachelor’s degree in engineering or equivalent
  • Solid experience in a business growth / sales role in data management, analytics and AI across multiple industries preferably in Insurance Domain – Property & Casualty, Life & Annuity, Group Benefits, Health Insurance etc.
  • Experience with data migration, data management, governance analytics and reporting.
  • Strong exposure to selling Data solutions on Azure, AWS, and GCP platforms and AI offerings
  • Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products.
  • Practitioners’ knowledge of Agentic AI/GenAI/ML.
  • Experience with leading Visualization tools such as Power BI, Tableau, Qlik etc.
  • Excellent ability and aptitude to influence and communicate effectively with business stakeholders up to the C-Suite.
  • Experience with largescale consulting and program execution engagements at the data analytics and AI space.
  • Ability to appreciate and work on 360-degree aspects around a data and insights life cycle across the business value chain.
  • Strong technical skills with ability to find technical solutions to business problems and engage the potential customer with “consultative selling” is essential.
  • Excellent oral and written communication skills and executive presentation and persuasion skills are required.
  • Ability to interface at all levels of an organization.
  • Consultative selling experience is a must.
  • Knowledge of industry trends, customer pain points, potential opportunities in various areas like cloud, Agentic AI/Gen AI/ML, modern data architecture, data governance, IoT and intelligent automations are highly desirable.
  • Excellent communication, presentation, and stakeholder management skills.
  • Ability to influence and collaborate effectively across multiple teams and organizational levels.
Preferred Qualifications
  • Certification and knowledge of AI trends and Agentic solutions, preferably in the Banking, Insurance and Healthcare Insurance space.
  • Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality
  • Knowledge in data modernization, Cloud, data migration and digital transformation
  • MBA or master’s degree from a top-ranked institution.
Salary and Other Compensation

The annual base salary for this position is $160,000 - $185,000, depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

  • Medical, Dental, Vision, and Life Insurance
  • Paid Holidays and Paid Time Off
  • 401(k) Plan with Company Contributions
  • Short-Term and Long-Term Disability Coverage
  • Paid Parental Leave
  • Employee Stock Purchase Plan
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