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Amazon Data Analytics Jobs in Florida (NOW HIRING)

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key ... Design and build impactful visualizations and dashboards using tools like Power BI, Amazon ...

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... You'll conduct comprehensive risk assessments, analyze safety data, and implement practical ...

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Amazon Data Analytics information

See Florida salary details

$17.1K

$66.7K

$139.8K

How much do amazon data analytics jobs pay per year?

As of Jun 14, 2026, the average yearly pay for amazon data analytics in Florida is $66,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,651.00 and $92,803.00 per year, depending on experience, location, and employer.

How does an Amazon Data Analytics professional typically collaborate with cross-functional teams to drive business decisions?

Amazon Data Analytics professionals regularly work with teams such as product management, engineering, marketing, and operations to translate data insights into actionable strategies. They participate in meetings to understand business objectives, design analytical solutions, and present findings in a clear, business-friendly manner. This collaborative approach ensures that data-driven recommendations align with organizational goals and helps stakeholders make informed decisions. Effective communication and the ability to explain complex data concepts to non-technical colleagues are key skills in this role.

What is Amazon Data Analytics?

Amazon Data Analytics refers to the suite of tools, services, and practices offered by Amazon Web Services (AWS) that enable organizations to collect, process, analyze, and visualize large volumes of data. This includes services like Amazon Redshift, AWS Glue, Amazon Athena, and Amazon QuickSight, which help users turn raw data into actionable insights. Professionals in Amazon Data Analytics roles are responsible for building data pipelines, optimizing data storage, and ensuring data quality to support business decision-making. These roles require skills in data engineering, statistical analysis, and cloud computing technologies.

What is the salary of Amazon Analytics?

The salary for an Amazon Data Analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and skill level. Entry-level roles may start lower, while experienced analysts with skills in SQL, Python, or Tableau can earn higher salaries. Compensation often includes benefits such as health insurance and performance bonuses.

How much does Amazon pay a data analyst?

Amazon data analysts typically earn an average salary ranging from $70,000 to $110,000 annually, depending on experience, location, and specific role. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, or Tableau can earn higher salaries. Compensation may also include bonuses and stock options.

What is the difference between Amazon Data Analytics vs Data Analyst?

AspectAmazon Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related; Amazon-specific toolsBachelor's in Statistics, Mathematics, or related; general analytics tools
Work EnvironmentAmazon warehouses, cloud platforms, e-commerce settingsOffices, corporate settings, various industries
Employer & Industry UsageAmazon's e-commerce, logistics, cloud servicesMultiple industries including finance, healthcare, retail
Common Search & ComparisonYesYes

Amazon Data Analytics professionals focus on analyzing data within Amazon's ecosystem, utilizing Amazon-specific tools and working in e-commerce or logistics environments. Data Analysts have a broader scope across industries, using general analytics tools. Both roles require strong analytical skills, but Amazon Data Analytics roles often demand familiarity with Amazon's platforms and cloud services.

What are the key skills and qualifications needed to thrive as an Amazon Data Analytics professional, and why are they important?

To thrive as an Amazon Data Analytics professional, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, often supported by a relevant degree. Familiarity with tools such as SQL, AWS services (e.g., Redshift, Athena), Python, and data visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, clear communication, and the ability to interpret and present complex data insights are valuable soft skills. These competencies enable professionals to derive actionable business insights, support data-driven decisions, and drive operational efficiency within Amazon's fast-paced environment.

Can I be a data analyst in 3 months?

Becoming a data analyst typically requires several months of dedicated learning in data analysis tools like Excel, SQL, and visualization software, along with understanding data concepts. While some intensive bootcamps or training programs claim to prepare individuals quickly, gaining proficiency and relevant experience usually takes longer than three months for most people.

Will AI replace data analyst?

AI tools are increasingly automating routine data analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and providing context. While AI can augment their work, the role of a data analyst remains essential for understanding business needs and ensuring accurate insights, especially in environments like Amazon where data-driven decision-making is vital.
What job categories do people searching Amazon Data Analytics jobs in Florida look for? The top searched job categories for Amazon Data Analytics jobs in Florida are:
Infographic showing various Amazon Data Analytics job openings in Florida as of June 2026, with employment types broken down into 55% Full Time, and 45% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,690 per year, or $32.1 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

Posted 8 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.