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Insurance Data Analytics Jobs in Miami, FL (NOW HIRING)

Pharmacist - Data Analytics

Miami, FL · On-site

$55.75 - $67/hr

You must have data analytics experience for this position. * PharmD preferred. * Experience working ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

Pharmacist - Data Analytics

Miami, FL

$55.75 - $67/hr

Pharmacist - Data Analytics Pharmacist LOCATION: This is a virtual eligible role. You must be ... insurance, wellness programs and financial education resources, to name a few. Elevance Health ...

Develop and implement data stores, data collection systems, data analytics, and other strategies ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off * Short Term & Long Term Disability

Ad-hoc analytics and insights . Promptly address ad-hoc analysis requests with clear, well ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

Has experience as a Product Manager for Data and Analytics and/or AI products * Is a proactive and ... Health, dental, and vision insurance. * Retirement savings plan with company match. * Paid time off ...

Data Analyst II

Miami, FL · On-site

$95K - $119K/yr

Gather and document analytics and reporting requirements in collaboration with stakeholders ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Data Analyst II

Miami, FL · On-site

$95K - $119K/yr

Gather and document analytics and reporting requirements in collaboration with stakeholders ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Data Analyst II

Miami, FL · On-site

$95K - $119K/yr

Gather and document analytics and reporting requirements in collaboration with stakeholders ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Data Engineer

Fort Lauderdale, FL · On-site

$109K - $131K/yr

Summary: The Data Engineer supports operations and conducts data analytics projects to provide ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

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Insurance Data Analytics information

See Miami, FL salary details

$23

$52

$90

How much do insurance data analytics jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for insurance data analytics in Miami, FL is $52.36, according to ZipRecruiter salary data. Most workers in this role earn between $42.07 and $59.33 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Insurance Data Analytics position, and why are they important?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

What are the typical responsibilities of someone working in Insurance Data Analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

What does a data analyst do in insurance?

An insurance data analyst collects, processes, and analyzes insurance data to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and models that improve underwriting, claims management, and pricing strategies.

How much does an insurance analyst make?

The average salary for an insurance analyst is around $65,000 to $85,000 per year, depending on experience, location, and industry. Entry-level roles typically start lower, while experienced analysts with specialized skills or certifications can earn higher salaries. Strong analytical skills and proficiency with data tools like Excel or SQL are often required.

Will AI replace a data analyst?

AI can automate routine data processing and analysis tasks, but the role of a data analyst, including those in insurance data analytics, involves interpreting complex data, providing insights, and making strategic decisions that require human judgment. Therefore, AI is more likely to augment rather than fully replace data analysts, who also need skills in data visualization, domain knowledge, and communication. Continuous learning and proficiency with analytics tools remain important for the role.

What is an Insurance Data Analytics job?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the most commonly searched types of Insurance Data Analytics jobs in Miami, FL? The most popular types of Insurance Data Analytics jobs in Miami, FL are:
What cities near Miami, FL are hiring for Insurance Data Analytics jobs? Cities near Miami, FL with the most Insurance Data Analytics job openings:
Infographic showing various Insurance Data Analytics job openings in Miami, FL as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $108,913 per year, or $52.4 per hour.
Data Analytics Developer, AVP - Credit and Insurance

Data Analytics Developer, AVP - Credit and Insurance

Blackstone

Miami, FL

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

Blackstone is the world's largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused onprivate equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis.Further information is available at www.blackstone.com. Follow @blackstone onLinkedIn,X, andInstagram.

Blackstone Technology & Innovations (BXTI) is the technology team at the core of each of Blackstone's businesses and new growth initiatives. Serving both internal and external clients, we work to build the next generation of systems that manage risk, create efficiency, and improve transparency within the firm and across our broad community of investors and portfolio companies.

BXTI is entrepreneurial - our open, iterative design processes and rapid pace of engineering mean that everyone on the team can make an impact from day one. We are problem solvers who can take projects from idea to implementation. We believe in active mentoring and developing excellence. We collaborate to find the best answers for our customers and for Blackstone. We are critical to the firm maintaining its competitive edge.

Blackstone is looking to hire an Associate to be an integral member of the Blackstone Technology Global Liquid Analytics team. This individual will be responsible for the analysis, design, implementation, testing, debugging and deployment of scalable data-driven analytics tools for the Blackstone Credit & Insurance platform. The candidate will help build the platform through use data science, statistics, and computer programming.

The candidate must possess the knowledge to work hand-in-hand with portfolio managers, asset allocators, middle-office operations, data governance, risk, and fund finance teams focusing on creating scalable analytics tooling. This includes building interactive dashboards & apps focused on portfolio risk characteristics with insights for internal managers and external clients. The candidate will also be using their engineering and/or data science background to help find alpha in complex credit and structured security markets.

From the technical perspective, the candidate should be comfortable working with diverse datasets and transforming unstructured & unclean data into an organized format suitable for data science. The individual should be proficient with Python and SQL to build a clean and scalable code base that powers the analytical models and generates novel insight from the data. The candidate is responsible for building interactive data visualization tools using Business Intelligence software like Sigma & Tableau. The candidate also plays an important role in implementing and extending core system architecture and data warehouses using Snowflake & AWS to build a solid foundation for analytics. Web development expertise in React & Typescript based application frameworks in AWS infrastructure (Terraform) is an added plus.

Qualifications:

  • Bachelors or Masters degree in a STEM domain (e.g., Engineering, Computer/Data Science or similar).

  • 3+ years of experience in data analytics/data science role.

  • Proficiency in database design as well as SQL and Python programming languages.

  • Work experience with business intelligence applications (e.g., Sigma, Tableau). Work experience with designing and implementing scalable portfolio analytics platforms.

  • Familiarity with big data analytical techniques and cloud technologies including Amazon Web Services (AWS) and Snowflake.

  • Proficient in programming in Python and SQL to build scalable and clean code base for analytics platforms.

  • Expert in database architecture design and performance optimization. Strong skills designing optimal data structures to host diverse financial data sets. Expert in data visualization tools like Sigma & Tableau. Can quickly build large scale complicated visualization platforms.

  • Expert in designing core data analytics model with a focus on reusability, data processing performance and data accuracy.

  • Knowledge in math and statistics to implement financial simulation models and understanding security/fund risk methodologies.

Preferred Qualifications:

  • Work experience with fixed income investment strategies.

  • Experience with web-based application development in React & Typescript with AWS infrastructure (Terraform).


The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion.

Expected annual base salary range:

$100,000 - $170,000

Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables.
Additional compensation and benefits offered in connection with the role consist of comprehensive health benefits, including but not limited to medical, dental, vision, and FSA benefits; paid time off; life insurance; 401(k) plan; and discretionary bonuses. Certain employees may also be eligible for equity and other incentive compensation at Blackstone's sole discretion.

Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

If you need a reasonable accommodation to complete your application, please contact Human Resources at 212-583-5000 (US), +44 (0)20 7451 4000 (EMEA) or +852 3656 8600 (APAC).

Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following:

  • Attending client meetings where you are discussing Blackstone products and/or and client questions;

  • Marketing Blackstone funds to new or existing clients;

  • Supervising or training securities licensed employees;

  • Structuring or creating Blackstone funds/products; and

  • Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials.

Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.
To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.