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At Home Insurance Data Analytics Jobs in Florida

Data Analytics Manager

FL · On-site

$96K - $192K/yr

For more information, visit corporate.carrier.com or follow on Carrier social media at @Carrier ... Life Insurance and Accidental Death and Dismemberment * Tax-Advantaged Accounts: Health Savings ...

At NCCI, we recognize that our employees are the reason our legacy endures today. We're motivated ... analytics, and insights. Every day, our work helps insurers, regulators, employers, and ...

... at scale using Python, SQL and orchestration (Airflow/ADF or equivalent). Provide governed ... This is a remote/WFH opportunity available to candidates currently residing within the United ...

Showing results 21-40

At Home Insurance Data Analytics information

What is an at home insurance data analytics?

An At Home Insurance Data Analytics job involves working remotely to analyze data related to insurance policies, claims, customer trends, and risk factors. Professionals in this role use statistical methods and specialized software to interpret large datasets and provide insights that help insurance companies make informed business decisions. The tasks may include data cleaning, reporting, predictive modeling, and collaborating with other teams to optimize products or processes. Working from home provides flexibility, but it also requires strong communication skills and self-motivation. This role is essential for helping insurance companies stay competitive and efficient in a data-driven industry.

What are the key skills and qualifications needed to thrive as an at home insurance data analytics professional?

To thrive in At Home Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and experience with insurance data, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Python, R, and business intelligence platforms like Tableau or Power BI is typically required. Strong problem-solving, attention to detail, and effective communication skills help translate complex data insights for stakeholders. These skills ensure accurate risk assessment, data-driven decision-making, and effective remote collaboration in the insurance industry.

What types of data sources and tools will I typically work with as an at home insurance data analytics professional?

As an At Home Insurance Data Analytics professional, you'll regularly handle data from policy management systems, claims databases, customer interactions, and external risk assessment sources. You'll use tools like SQL for data extraction, Python or R for analysis, and data visualization platforms such as Tableau or Power BI to present insights. Collaboration with underwriting, claims, and IT teams is common to ensure data accuracy and actionable reporting. This role offers exposure to both structured and unstructured data, requiring a balance of technical skills and insurance industry knowledge.

What is the difference between At Home Insurance Data Analytics vs Insurance Data Analyst?

AspectAt Home Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in statistics, data science, or related field; knowledge of insurance industryBachelor's degree in mathematics, statistics, or related field; industry-specific knowledge beneficial
Work EnvironmentRemote or home-based, collaborating with insurance teamsTypically office-based, but may include remote options; working with insurance data teams
Employer & Industry UsageInsurance companies, brokers, and agencies analyzing policy dataInsurance firms, consulting agencies, or analytics firms focusing on insurance data

At Home Insurance Data Analytics involves remote data analysis specifically tailored to insurance data, often with a focus on policy and claims data. Insurance Data Analysts may work in similar environments but are often based in-office and may handle broader data analysis tasks across various industries. Both roles require similar skills and education, but At Home Insurance Data Analytics emphasizes remote work within the insurance sector.

What are the most commonly searched types of Insurance Data Analytics jobs in Florida?

The most popular types of Insurance Data Analytics jobs in Florida are:

Program Lead, Data & Analytics Platform

Kraton

Jacksonville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 18 days ago


Kraton rating

7.3

Company rating: 7.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

64th of 103 rated chemical manufacturers


Job description

Make a +Difference at Kraton!

At Kraton, we make a +Difference, and we are looking for individuals who are also looking to make a difference in their jobs, for our customers and to the world.  We are looking to hire a key member of our IT team at our Global Headquarters located in The Woodlands, Texas.

The IT Program Lead - Data & Analytics Platform is responsible for defining, delivering, and governing the enterprise data and analytics strategy across the organization. This role serves as the technology leader for enterprise reporting, business intelligence, data engineering, data governance, and analytics platforms, ensuring business data is transformed into trusted, governed, and actionable insights.

We believe in making a +Difference, as a global manufacturer of sustainable specialty polymers and biobased pine chemicals, delivering innovative, high-performance solutions.  
We're proud to offer benefits that meaningfully support you-at work, at home, and everywhere in between. 

Some of the benefits offered are:

  • Medical Insurance, including TeleDoc - multiple plans available with Flexible Spending Account & Health Savings Account options
  • Dental & Vision Insurance  
  • Health Advocate - free support to help you understand your coverage and answer questions
  • Life Insurance - base coverage paid for by Kraton with option for additional coverage
  • 401k - Kraton provides matching contributions based on enrollment level 
  • Employee Assistance Program - provided at no cost to employees 
  •  Accident, Disability, and Critical Illness Insurance  
Key Responsibilities

The position will lead the design, implementation, and operation of a modern enterprise data platform centered on Microsoft Fabric, Power BI, Azure, SAP technologies, and enterprise application integrations. This includes establishing scalable architectures that enable analytics, artificial intelligence (AI), machine learning (ML), predictive analytics, executive reporting, self-service analytics, and enterprise data products.


The role is accountable for the secure integration of data from SAP ECC, SAP BW, SAP Datasphere, SAP Analytics Cloud, Microsoft platforms, manufacturing systems, CRM applications, commercial systems, and third-party applications into a centralized and governed analytics ecosystem. The position will also establish enterprise standards for data security, segregation, governance, and controlled access to ensure sensitive and confidential information is only available to authorized users and business functions.


The key responsibilities of this role include but are not limited to the following:
Enterprise Data & Analytics Strategy
   Define and execute the enterprise data, analytics, and AI strategy aligned with business objectives.
   Establish standards, roadmaps, and governance for enterprise reporting, analytics, business intelligence, and data management.
   Partner with business and executive leaders to identify opportunities for analytics-driven decision making and operational improvement.
Data Platform Leadership
   Lead the design, implementation, and support of the enterprise data and analytics platform utilizing Microsoft Fabric, Power BI, Azure, SAP technologies, and related enterprise platforms.
   Establish scalable, secure, and cost-effective architectures supporting reporting, self-service analytics, AI, and predictive analytics.
   Drive platform performance, reliability, adoption, and continuous improvement.
Enterprise Data Integration
   Define and govern the integration of SAP and non-SAP data sources into a centralized analytics ecosystem.
   Establish standards for data ingestion, transformation, replication, and orchestration across enterprise applications, cloud platforms, and third-party systems.
   Ensure enterprise data assets are accurate, consistent, and accessible for analytics and business operations.
Data Governance & Security
   Establish enterprise governance frameworks for data ownership, quality, security, lineage, and compliance.
   Define data classification and access standards protecting confidential, financial, HR, operational, and strategic information.
   Implement security models that provide controlled and role-based access to data, reports, and analytical assets.
Analytics, Reporting & AI Enablement
   Govern enterprise reporting, KPI definitions, semantic models, and self-service analytics capabilities.
   Enable advanced analytics, predictive modeling, AI, and machine learning initiatives through trusted and governed data products.
   Support executive, operational, and functional reporting requirements across all business areas.

Required Skills

Enterprise Data Platforms
   Microsoft Fabric, Power BI, Azure Data Services, OneLake, Data Warehouses, Lakehouses, and modern cloud analytics platforms.
   Data engineering, ETL/ELT, data modeling, semantic modeling, and enterprise reporting architectures.
SAP & Enterprise Application Integration
   SAP ECC 6.0, SAP BW, SAP BPC, SAP Datasphere, SAP Analytics Cloud, SAP HANA, and SAP data integration methodologies.
   Experience exposing SAP and enterprise application data to cloud analytics platforms and modern data architectures.
Data Governance & Security
   Data governance, metadata management, data quality, master data management, and information lifecycle management.
   Role-based access controls, row-level security, data segregation, privacy controls, compliance, and audit requirements.
Analytics & AI
   Enterprise reporting, business intelligence, predictive analytics, machine learning, AI enablement, and data-driven decision support.
   Experience implementing enterprise AI, data governance, and modern data platform initiatives.

Education, Certifications & Licenses

   Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, Business Analytics, or related discipline. 
   Master's degree preferred.
   Microsoft Fabric, Azure, Power BI, or SAP Analytics certifications.

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The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification.  Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Kraton's internal talent acquisition team manages our recruiting efforts and from time to time works with pre-selected/pre-approved external staffing agencies. We do NOT accept unsolicited resumes or candidate referrals from recruiters and/or agencies who are not pre-selected/pre-approved.

Kraton is proud to be an Equal Opportunity Employer.


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About Kraton

Sourced by ZipRecruiter

Kraton is a leading global specialty chemicals company that specializes in delivering high-performance polymers and bio-based products. With a strong emphasis on innovation, the company has established itself as a reliable partner across various industries. Kraton's diverse portfolio of solutions caters to applications such as adhesives, coatings, lubricants, sealants, and more. Committed to sustainability, Kraton focuses on developing eco-friendly products that reduce environmental impact without compromising performance. By harnessing renewable resources and advanced technologies, Kraton strives to create solutions that not only enhance the quality of life but also minimize their carbon footprint. With a global presence and customer-centric approach, Kraton is dedicated to providing tailored solutions that meet the unique needs of their customers, making them a trusted and forward-thinking choice in the specialty chemicals market.

Industry

Chemical manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1950

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