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Associate In Insurance Data Analytics Jobs in Florida

Collaborate with insurance brokers, carriers, and industry professionals on renewal strategies to ... analytical, organizational, and communication skills. * Proficiency in Microsoft Excel and data ...

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... PRIMARY DUTIES AND RESPONSIBILITIES 1. Define and evolve the data architecture in alignment with ...

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... PRIMARY DUTIES AND RESPONSIBILITIES 1. Define and evolve the data architecture in alignment with ...

Pharmacist - Data Analytics

Lake Mary, FL · On-site

$51 - $61.25/hr

This role enables associates to work virtually full-time, with the exception of required in-person ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

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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.
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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:
Risk & Insurance Associate

Risk & Insurance Associate

Benderson Development Company, LLC

Sarasota, FL

Full-time

Posted 12 days ago


Job description

Key Responsibilities

  • Assist with the preparation, maintenance, marketing, and updates of insurance data and reports needed for commercial real estate insurance renewals, audits, and inspections.
  • Assist with completion of insurance applications and document gathering as part of insurance procurement and underwriting processes, including property data, construction details, and loss history.
  • Collaborate with insurance brokers, carriers, and industry professionals on renewal strategies to achieve optimum outcomes for the real estate portfolio.
  • Assist with maintenance and analysis of the organization’s schedule of insurance (SOI), including binders and policies, to ensure data integrity and support renewal strategy across properties and assets.
  • Assist with identification and mitigation of risks and risk trends impacting the portfolio, including property damage, liability exposures, tenant operations, and construction-related risks.
  • Assist with preparation of risk reports, Total Cost of Risk (TCOR) analyses, and financial reports tied to real estate assets and operations.
  • Collaborate and assist internal team members and external stakeholders with insurance-related inquiries.
  • Support vendor and tenant onboarding processes to ensure insurance compliance obligations are met, including certificates of insurance (COIs), lease requirements, and contractual risk transfer provisions.
  • Assist with organizational safety, loss prevention, and compliance initiatives across the property portfolio, including tracking required actions for insurance renewals.
  • Contribute toward a proactive, risk-focused team environment by collaborating cross-functionally on real estate risk and insurance topics.
  • Perform any additional risk and insurance tasks, as needed.

Preferred Qualifications

  • Bachelor’s degree in Risk Management, Finance, Business Administration, Real Estate, or a related field.
  • 3–5 years of experience in insurance, risk management, or commercial real estate operations.
  • Basic understanding of commercial property and casualty insurance (property, general liability, umbrella/excess, builder’s risk).
  • Familiarity with leases, vendor agreements, and insurance compliance requirements in a real estate environment.
  • Strong analytical, organizational, and communication skills.
  • Proficiency in Microsoft Excel and data/reporting tools.

Work Environment & Exposure

  • Exposure to a diverse commercial real estate portfolio (e.g., retail, office, industrial, mixed-use, development projects, and hotels).
  • Interaction with brokers, insurers, property managers, asset managers, tenants, vendors, and lenders.
  • Involvement in insurance programs supporting acquisitions, development, and ongoing operations.
  • Fast-paced environment aligned with renewal cycles, audits, and portfolio activity.