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Amazon Data Analyst Jobs in Florida (NOW HIRING)

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 ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Data Engineer

Hurlburt Field, FL · On-site

$73K - $175K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

Sr. Product Manager, Amazon Fuse and MBD

Miami, FL · On-site

$121K - $159K/yr

The Fuse team builds products that connect partner ecosystems to Amazon, creating new entry points ... In any given week, you might be analyzing funnel data to identify drop-off points, brainstorming ...

The Fuse team builds products that connect partner ecosystems to Amazon, creating new entry points ... In any given week, you might be analyzing funnel data to identify drop-off points, brainstorming ...

Amazon Account Manager

Saint Petersburg, FL · On-site

  • Medical

  • Retirement

Amazon Account Manager Position Overview: We are seeking an Amazon Account Manager for our Nature ... Highly analytical with strong Excel/Sheets skills and ability to translate data into insights.

Sr. Product Manager, Amazon Fuse and MBD

Miami, FL · On-site

$121K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Fuse team builds products that connect partner ecosystems to Amazon, creating new entry points ... In any given week, you might be analyzing funnel data to identify drop-off points, brainstorming ...

Amazon Account Manager

Saint Petersburg, FL · On-site +1

  • Medical

  • Retirement

Amazon Account Manager Position Overview: We are seeking an Amazon Account Manager for our Nature ... Highly analytical with strong Excel/Sheets skills and ability to translate data into insights.

Amazon Account Manager

Saint Petersburg, FL · On-site

  • Medical

  • Retirement

Amazon Account Manager Position Overview: We are seeking an Amazon Account Manager for our Nature ... Highly analytical with strong Excel/Sheets skills and ability to translate data into insights.

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Amazon Data Analyst information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do amazon data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for amazon data analyst in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon data analyst?

To thrive as an Amazon Data Analyst, you need strong analytical skills, experience with statistical methods, and a relevant degree in fields such as Data Science, Mathematics, or Computer Science. Proficiency with SQL, Python, Excel, and data visualization tools like Tableau or AWS QuickSight, along with certifications in data analytics or cloud platforms, is highly valued. Strong attention to detail, problem-solving abilities, and effective communication skills enable you to translate complex data into actionable insights for stakeholders. These competencies are critical for driving data-driven decision-making and supporting Amazon's fast-paced, results-oriented business environment.

What is an Amazon data analyst?

An Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets to help drive business decisions. They work with teams across the company to identify trends, optimize processes, and improve efficiency using data-driven insights. Their role often involves using SQL, Python, Excel, and visualization tools like Tableau or Power BI. Strong analytical skills and attention to detail are essential for making informed recommendations that impact operations, sales, or customer experience.

What are some typical challenges Amazon data analysts face, and how can they overcome them?

Amazon Data Analysts often work with large, complex datasets and must ensure the accuracy and reliability of their analyses in a fast-paced environment. Navigating multiple data sources, integrating new technologies, and adapting to changing business priorities are common challenges. Successful analysts proactively collaborate with cross-functional teams, stay up to date on the latest analytical tools, and prioritize effective communication to translate technical findings into business recommendations. Seeking mentorship and ongoing learning opportunities can also help analysts stay ahead in this dynamic role.

How to get a job in Amazon as a data analyst?

To become a data analyst at Amazon, candidates typically need a bachelor's degree in a related field such as data science, statistics, or computer science. Relevant skills include proficiency in SQL, Python, or R, and experience with data visualization tools like Tableau. Gaining experience through internships or certifications can improve chances, and applying through Amazon's careers website or networking can help secure an interview.

What are top 3 soft skills for an Amazon Data Analyst?

The top three soft skills for an Amazon Data Analyst are strong communication skills to clearly present data insights, problem-solving abilities to interpret complex data, and adaptability to work with evolving tools and datasets. These skills are essential for collaborating with teams and making data-driven decisions in a fast-paced environment.

What are the most commonly searched types of Amazon Data Analyst jobs in Florida?

The most popular types of Amazon Data Analyst jobs in Florida are:

What cities in Florida are hiring for Amazon Data Analyst jobs?

Cities in Florida with the most Amazon Data Analyst job openings:

Infographic showing various Amazon Data Analyst job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

ENTERPRISE DATA ANALYST

Kanak Elite Services Inc

Juno Beach, FL • On-site

Contractor

Re-posted 3 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Enterprise Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Enterprise Data Analyst

Juno Beach, FL Onsite

Long term contract

2nd round will be onsite

Enterprise Data Analyst

The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role uses a blend of business analysis and data expertise to drive the successful use of enterprise data, break down silos, and contribute to overarching business strategies. The DA serves as an advocate for the EDP's data portfolio, helping business partners understand its value, meet their data goals, and tell compelling stories with data.

Required Skills & Experience

  • Technical Proficiency: Excellent command of SQL.
  • Analytical Aptitude: Strong problem-solving, analytical, and quantitative skills.
  • Data Storytelling: Excellent written and oral communication, presentation, and data storytelling skills.
  • Leadership & Collaboration: Good skills to manage client relationships and conduct community-of-practice sessions; demonstrated ability to work effectively in a team environment as well as independently.
  • Experience with data in SAP or Salesforce.
  • Experience with Corporate Finance data.
  • Experience of AWS Redshift.
  • ERwin data modeling experience
  • Basic understanding of data management and governance frameworks.

Key Responsibilities

As an Enterprise Data Analyst, you will:

  • Become a Data Portfolio Expert: Deeply learn and evolve into the Subject Matter Expert (SME) for the EDP's data portfolio, including its enterprise data model, data products, data ownership, and access control configurations.
  • Support Data Discovery: Assist both technical and non-technical teams, internally and externally, by providing information and guidance on the EDP's data assets.
  • Drive Project Analysis: Conduct in-depth data and business process analysis for new projects entering the EDP pipeline.
  • Manage Data Knowledge: Maintain and improve the EDP's data catalog and discovery tools by:
    • Keeping knowledge articles and data dictionaries current (reviewing, refining, and creating new content).
    • Analyzing usage trends and recommending platform improvements.
  • Ensure Data Quality: Monitor the quality of various data products, identify gaps, and provide actionable recommendations for data quality improvement.
  • Provide Analytical Support: Collaborate with various business units and development teams to understand their data needs and deliver analytical solutions.
  • Champion Process Improvement: Communicate, recommend, and help implement business process improvements based on data analysis findings.
  • Analyze and Interpret Data: Proactively identify and interpret trends, patterns, and anomalies within large datasets.
  • Develop Performant Queries: Write and optimize SQL queries, utilizing basic understanding of performance techniques.
  • Document Data Relationships: Utilize data modeling tools (e.g., ERwin) to understand, document, and share knowledge about the relationships between datasets.
  • Create Visualizations: Design and build impactful visualizations and dashboards using tools like Power BI, Amazon Quicksight, or similar platforms.
  • Support Quality Assurance: Test business processes, help identify data issues, support User Acceptance Testing (UAT), and document findings.
  • Build Relationships: Establish strong working relationships with business product owners, practitioners, and executive leadership teams across the organization.
  • Foster a Community: Work with BI and Client Analysts to establish and lead a Data-Analysis Community of Practice for the EDP.