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At Home Insurance Data Analytics Jobs in Florida

Metrc, LLC

Data Analyst

Lakeland, FL · On-site

Basic understanding of client service: this position exists to help others; we are a business support function that supports a commercial business, and the Data Analytics team at Metrc prides ...

Ci

Data Science and Analytics Manager

Miami, FL

Join a team that values your ambition and empowers your growth At Corient, we help high- and ultra ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

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All JobsAt Home Insurance Data Analytics JobsAt Home Insurance Data Analytics Jobs in Florida

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 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 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 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:
At Home Insurance Data Analytics jobs near you

Senior Analyst, Financial Data Analytics & Visualization

Royal Caribbean Group

Miami, FL • On-site

Full-time

Re-posted 21 days ago

Royal Caribbean Group rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

1st of 9 rated cruise lines

Job description

Journey with us! Combine your career goals and sense of adventure by joining our exciting team of employees. Royal Caribbean Group is pleased to offer a competitive compensation and benefits package, and excellent career development opportunities, each offering unique ways to explore the world.
The Royal Caribbean Group has an exciting career opportunity for a full time Senior Analyst, Financial Data Analytics & Visualization reporting to the AVP of Technology Finance.
Position is onsite and based in Miami, FL
Responsibilities include the design, implementation, and development of financial reporting and analytics solutions, with particular emphasis on Data Analytics, Visualizations, and Financial Modeling. The candidate must have strong understanding of data visualization, finance/accounting principles and an ability to deliver engaging, informative data stories using a variety of techniques and tools. This individual is capable of working under minimal supervision and tight timelines. He/She will be responsible for interacting with various departments within Royal Caribbean to collect, aggregate and process data from large databases and flat files; to analyze and interpret results; and to create visually appealing reports, presentations and dashboards.
Essential Duties and Responsibilities:
  • Collect and process raw data from various sources into report ready format using SQL, Python, Microsoft Power Query.
  • Design, implement and develop data visualizations using Power BI, Python, and Microsoft Office Suite.
  • Create financial/investment models using advanced features in Excel.
  • Meet with business stakeholders to clarify and document reporting requirements.
  • Recommend data architecture and business structures necessary to support reports and dashboards.
  • Work autonomously and with little direction to complete assignments on tight timelines, coordinating business processes, programs and projects based on the outlined strategies and defined directives.
  • Aggregate large data sets for analysis. Develop data strategies specifically around data structures, identifying critical information, as well as the tools used to retrieve and analyze the data. Perform research and analysis on large data sets-data exploration, trending, regression, and/or basic machine learning.
  • Work with management and other team members to understand and clarify data analysis and reporting needs. Provide guidance and insight into data visualization options for report design.
  • Make actionable recommendations by effectively communicating data analytics insights to a cross-functional group as well as department executives.
  • Create dashboards, automated reports, report templates and presentations. Use advanced data visualization tools, such as Power BI and/or Python, to provide clear, intuitive, and visually compelling interface that are well-designed for end users to quickly identify key themes and insights within data. Responsible for daily/weekly/monthly reporting on business trends and the status of digital experience initiatives for senior management.
  • Not directly responsible for budgeting or achievement of revenue targets.
  • Performs other duties as required.

Qualifications, Knowledge and Skills:
  • Four-year Bachelor's degree (BS/BA) or an advanced degree, preferably in Analytics/Business/Statistics/Engineering or closely related field with combination thereof and related analytic work experience and/or relevant certifications, including but not limited to reputable data analytics certificates, CPA, CFA.
  • At least 2 years of work experience (excluding capstone projects) in data analysis, data mining, business case development or other related analytical projects in finance/accounting related fields. Experienced in performing either strategic analysis, financial analysis or business intelligence/marketing analytics.
  • Strong proficiency in query/reporting tools, including but not limited to Power BI, Advanced Excel, SQL, and preferably Python.
  • Experience working with large databases, including Databricks, JDE, Oracle (including EPM), SQL Server, and AS400.
  • Proven ability to create polished, user-focused data visualizations and dashboards that reflect strong aesthetic judgment and design sensibility.
  • Ability to work independently on tight timelines to implement solutions with minimal guidance and communicate effectively with both business and technical stakeholders.
  • 2 to 4 years of BI & Analytics development experience.
  • Strong command of Power BI, SQL, Advanced Excel (VBA and visualizations), Microsoft Office Suite and preferably Python.
  • Proficiency in financial forecasting and modeling, as well as data cleansing and processing.
  • Ability to work on complex development BI projects including the proactive identification of issues and coordination of resolutions.
  • Ability to work independently to implement solutions with minimal guidance and communicate effectively with both business and technical stakeholders.
  • Advanced analytical skill set includes critical thinking, and detail oriented.
  • Excellent verbal and written communication skills and interpersonal skills for interacting with external and internal partners and delivering recommendations and results to senior management.
  • Results-oriented team player.

We know there's a lot to consider. As you go through the application process, our recruiters will be glad to provide guidance, and more relevant details to answer any additional questions. Thank you again for your interest in Royal Caribbean Group. We'll hope to see you onboard soon!
The position is not eligible for work authorization sponsorship .
It is the policy of the Company to ensure equal employment and promotion opportunity to qualified candidates without discrimination or harassment on the basis of race, color, religion, sex, age, national origin, disability, sexual orientation, sexuality, gender identity or expression, marital status, or any other characteristic protected by law. Royal Caribbean Group and each of its subsidiaries prohibit and will not tolerate discrimination or harassment.
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