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Amazon Data Analytics Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Juno Beach, FL · On-site

$84K - $106K/yr

Strong experience in data engineering, dimensional modeling, and analytics is required. Preferred Skills Strong hands-on expertise in ANSI-SQL, PostgreSQL, Amazon Redshift, ETL development, and ...

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 ...

Senior Contact Center Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

Build, enhance, and troubleshoot reporting and monitoring solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and other approved analytics, cloud, and data visualization tools.

Amazon Business Growth & Account Management * Develop and execute strategic account plans to ... Utilize data analytics to identify opportunities, risks, and areas for continuous improvement.

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 ...

Senior Amazon PPC Specialist

Saint Petersburg, FL · On-site

$74K - $92K/yr

Senior Amazon PPC Specialist Position Overview: We are seeking an experienced, data-driven Senior ... Exceptional quantitative and data-analysis skills, with advanced proficiency in Microsoft Excel and ...

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 ...

Senior Amazon PPC Specialist Position Overview: We are seeking an experienced, data-driven Senior ... Exceptional quantitative and data-analysis skills, with advanced proficiency in Microsoft Excel and ...

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Showing results 1-20

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 Sep 2, 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.

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.

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 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.

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 is the salary of Amazon Data Analytics?

The salary for Amazon Data Analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and specific responsibilities. Entry-level positions may start lower, while experienced analysts with skills in SQL, Python, and data visualization tools can earn higher salaries.
Infographic showing various Amazon Data Analytics job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,690 per year, or $32.1 per hour.

Contact Center Data Analytics Engineer II

Geico

Tampa, FL

Full-time

Posted 7 days ago


GEICO rating

8.0

Company rating: 8.0 out of 10

Based on 364 frontline employees who took The Breakroom Quiz

170th of 315 rated insurance


Job description

Why Join GEICO?

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.

Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

The Contact Center Data Analytics Engineer II is an experienced analytics professional responsible for building reliable data solutions, producing actionable insights, and helping guide more complex analytics work across contact center operations, IVR, automation, workforce management, product, and technology functions. This role carries the same core responsibilities as the Data Analytics Engineer I role, but with greater ownership, stronger technical depth, and a higher expectation to lead analysis, influence decisions, improve data practices, and help less-experienced team members solve problems effectively.

This is a hybrid position, requiring on-site presence 2-3 days a week at one of the following locations:Dallas, TX; Palo Alto, CA; Bethesda, MD; Buffalo, NY; San Diego, CA; Virginia Beach, VA; Fredericksburg, VA; Tampa, FL.

Key Responsibilities

  • Design, develop, test, deploy, and maintain more complex data structures, enterprise reports, dashboards, analytical systems, and visualizations that support operational and strategic decision-making.
  • Lead analysis of contact center, IVR, digital, customer, workforce, and system performance data to identify root causes, quantify business impact, and recommend practical actions.
  • Build and enhance reporting solutions using Power BI, SQL, Amazon QuickSight, Amazon CloudWatch, and related analytics or monitoring tools used by the team.
  • Proactively detect operational or system issues by monitoring performance patterns, outliers, anomalies, and metric movement across contact center and IVR environments.
  • Translate complex business needs into technical requirements and scalable reporting or analytical solutions that can be used by operations, product, automation, workforce management, and technology partners.
  • Evaluate new internal and external data sources, validate data quality, and recommend ways to expand data warehouse, reporting, and self-service analytics capabilities.
  • Assist with the assessment and cultivation of long-term business intelligence, automation, and operational insight opportunities in partnership with business, engineering, data architecture, and data science teams.
  • Improve reporting standards, metric definitions, documentation, testing practices, and data governance controls for assigned subject areas.
  • Support and coach less-experienced analysts or engineers by reviewing work, sharing best practices, and helping the team use consistent development and validation practices.
  • Communicate complex insights clearly to technical and non-technical stakeholders and influence decisions through strong data storytelling, business context, and practical recommendations.

Required Qualifications

  • 2+ years of experience in business analytics, data analytics, product analytics, operations analytics, or a related analytical role.
  • 2+ years of experience querying complex systems using SQL and performing data analysis.
  • 2+ years of experience using analytical or programming languages such as Python, R, SAS, .NET, M, or DAX.
  • 1+ years of experience using source control, DevOps tools, or collaborative development practices.
  • 2+ years of experience developing business intelligence reporting or data visualizations in Power BI, Amazon QuickSight, Tableau, or similar tools.
  • Experience analyzing operational data, identifying root causes, and translating findings into business recommendations.
  • Ability to manage more complex assignments, work across multiple business partners, and operate with limited direction in a fast-moving environment.
  • BA/BS degree in computer science, statistics, analytics, operations research, economics, mathematics, or a related field.

Preferred Qualifications

  • Experience supporting contact center, IVR, customer service, workforce management, digital servicing, insurance, or financial technology environments.
  • Experience using Amazon CloudWatch or similar tools to monitor system, service, or operational performance and identify anomalies.
  • Experience with big data, cloud-based technologies, data warehousing, or data engineering concepts.
  • Experience working in Agile delivery environments with product owners, engineers, and business stakeholders.
  • Experience mentoring peers, reviewing analytics work, improving reporting standards, or helping teams adopt consistent development practices.


Annual Salary

$88,150.00 - $157,850.00

The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations.


At this time, GEICO will not sponsor a new applicant for employment authorization for this position.

The GEICO Pledge:

Great Company:Protecting customers through life's twists and turns with innovation and integrity.

Great Careers:Personalized development programs, mentorship, and certification assistance.

Great Culture:Inclusive and collaborative culture rooted in shared success.

Great Rewards:Competitive pay, benefits, and flexibility to support your well-being and future.

The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.

GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.


What GEICO employees say

Pay

Benefits

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About GEICO

Sourced by ZipRecruiter

GEICO is built on ingenuity, perseverance, innovation, resilience, and hard, honest work. From its humble beginnings in the midst of the Great Depression to its current place as one of the most successful companies in the nation, GEICO represents a quintessential American success story. At GEICO, we love that our associates are proud goal-seekers, and that's why we believe in celebrating their milestones and rewarding their achievements. Throughout the year we reward performance and accomplishments, host programs that recognize personal successes, and acknowledge innovation, service, and leadership.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Chevy Chase, MD, US

Year founded

1936