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Customer Support Data Analyst Jobs in Florida (NOW HIRING)

Support data analytics and reporting outputs, including aggregated program-level views and individual entity data packages * Flag scoring anomalies or inconsistencies to assessment leadership before ...

... dedicated customer-support team, and a secure database to track and trace cannabis from growth ... As Data Analyst, you will have the opportunity to thrive in a fast-moving, fluid environment, and ...

... dedicated customer-support team, and a secure database to track and trace cannabis from growth ... As Data Analyst, you will have the opportunity to thrive in a fast-moving, fluid environment, and ...

... dedicated customer-support team, and a secure database to track and trace cannabis from growth ... As Data Analyst, you will have the opportunity to thrive in a fast-moving, fluid environment, and ...

ENTERPRISE DATA ANALYST

Juno Beach, FL ยท On-site

$50 - $55/hr

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 ...

Customer Support Analyst Location: Tallahassee, FL Engagement Type: Contract Work Mode: On-site Duration: 9 Months (10/01/2026 - 06/30/2027, with potential renewal) Interview Type: Microsoft Teams or ...

New

Data Analyst

Miami, FL ยท On-site

Write clean, well-documented SQL queries in BigQuery to support ad hoc analysis. * Partner with Sales, Marketing, and Customer Success teams to translate data needs into actionable insights. * Ensure ...

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Customer Support Data Analyst information

See Florida salary details

$12

$29

$53

How much do customer support data analyst jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for customer support data analyst in Florida is $29.29, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $34.90 per hour, depending on experience, location, and employer.

What does a customer support data analyst do?

A Customer Support Data Analyst is responsible for analyzing data related to customer service interactions to identify trends, measure performance, and suggest improvements. They work with large datasets from support tickets, chat logs, and customer feedback to uncover patterns and insights. Their findings help customer support teams optimize processes, improve customer satisfaction, and make data-driven decisions. They often collaborate with other departments, such as product and engineering, to address recurring issues and enhance the overall customer experience.

What are the key skills and qualifications needed to thrive as a customer support data analyst?

To thrive as a Customer Support Data Analyst, you need strong analytical skills, experience with data visualization, and a background in statistics or related fields, often supported by a relevant degree. Proficiency in tools such as SQL, Excel, customer support platforms (like Zendesk), and analytics software (like Tableau or Power BI) is typically required. Exceptional communication, problem-solving abilities, and attention to detail help you stand out in interpreting data and collaborating with support teams. These skills are vital for identifying trends, optimizing customer experiences, and driving data-informed decision-making in support operations.

How does a customer support data analyst typically collaborate with customer service teams to improve support processes?

A Customer Support Data Analyst works closely with customer service teams by analyzing support ticket data, identifying trends, and highlighting areas for improvement. They often participate in regular meetings to present findings and recommend actionable solutions, such as updating knowledge base articles or refining response scripts. This collaboration helps ensure that data-driven insights are directly applied to enhance the overall customer experience and streamline support operations.

What is the difference between Customer Support Data Analyst vs Customer Service Representative?

AspectCustomer Support Data AnalystCustomer Service Representative
Primary RoleAnalyzes customer data to improve support processes and customer satisfactionAssists customers directly with inquiries, issues, and product information
Required SkillsData analysis, SQL, Excel, communicationCommunication, problem-solving, product knowledge
Work EnvironmentOffice or remote, working with data teamsCall centers, retail stores, or online support channels
Common CertificationsData analysis certifications, CRM tools trainingCustomer service certifications, communication courses

The main difference is that Customer Support Data Analysts focus on analyzing customer data to enhance support strategies, while Customer Service Representatives handle direct customer interactions. Both roles are essential in customer support but serve different functions within the industry.

What is a customer support data analyst?

A customer support data analyst is a professional who examines customer service data to identify trends, improve support processes, and enhance customer satisfaction. They often use tools like Excel, SQL, or data visualization software and require strong analytical skills to interpret large datasets and generate actionable insights.

What cities in Florida are hiring for Customer Support Data Analyst jobs?

Cities in Florida with the most Customer Support Data Analyst job openings:

Data Analyst / Business Analyst

Miami, FL โ€ข On-site

1 point system
IT Servicesย โ€ขย 51 - 200 employees

Contractor

Re-posted 13 days ago


Job description

REQUIRED SKILLS

Seeking a Data Analyst / Business Analyst with strong SQL, Excel, and data analysis skills to support data-driven projects. The role involves working with APIs, JSON data, data mapping, and documentation, while collaborating with business and technical teams.

Required Skills

  • SQL: Data extraction, querying, and validation
  • Excel: Strong analytical skills (Pivot Tables, VLOOKUP/XLOOKUP)
  • APIs, JSON & XML files data mapping: Basic understanding of API integrations, JSON/XML data formats, and source-to-target data mapping.
  • Data Analysis: Ability to analyze datasets and validate data
  • Business Analysis: Requirement gathering and documentation (BRD/functional specs)
  • Agile/Scrum: Experience working in Agile environments and supporting project coordination

Preferred

  • Experience in Data Analyst or Financial Analyst roles
  • Exposure to data engineering or data integration projects