1

Customer Data Jobs in Florida (NOW HIRING)

Sr. Data Analyst

Clearwater, FL

$79K - $100K/yr

You'll work with data from AWS, Azure, and Google Cloud Platform (GCP) , as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and ...

Sr. Data Analyst

Clearwater, FL · On-site

$79K - $100K/yr

You'll work with data from AWS, Azure, and Google Cloud Platform (Google Cloud Platform) , as well as financial, operational, and customer data, to support cloud optimization, forecasting ...

Sr. Data Analyst

Clearwater, FL · On-site

$79K - $100K/yr

You'll work with data from AWS, Azure, and Google Cloud Platform (GCP) , as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and ...

Analyze customer data to identify trends and opportunities * Work closely with other departments to ensure customer satisfaction * Provide excellent customer service to retain customers * Handle ...

Analyze customer data to identify trends and opportunities * Work closely with other departments to ensure customer satisfaction * Provide excellent customer service to retain customers * Handle ...

Be Seen First

Enter and manage sales and customer data efficiently * Generate and distribute regular sales reports * Maintain comprehensive documentation for sales activities * Coordinate between sales, supply ...

Analyze customer data to identify trends and opportunities * Work closely with other departments to ensure customer satisfaction * Provide excellent customer service to retain customers * Handle ...

Ability to analyze customer data and metrics to drive insights and improve customer engagement. * Strong problem-solving skills and the ability to navigate complex customer situations effectively.

Showing results 41-60

Customer Data information

What is the difference between Customer Data vs Customer Support Specialist?

AspectCustomer DataCustomer Support Specialist
Primary RoleCollecting, analyzing, and managing customer informationAssisting customers with inquiries, troubleshooting, and support
Required SkillsData analysis, database management, attention to detailCommunication, problem-solving, customer service
Work EnvironmentData teams, analytics departments, office settingsCustomer service centers, call centers, office settings
Common CertificationsData analysis certifications, CRM software trainingCustomer service certifications, communication skills training

Customer Data professionals focus on managing and analyzing customer information to support marketing and business decisions, while Customer Support Specialists directly assist customers with their issues. Both roles are essential in customer-centric industries but serve different functions within the customer experience ecosystem.

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

The most popular types of Customer Data jobs in Florida are:

Infographic showing various Customer Data job openings in Florida as of August 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution.

$79K - $100K/yr

Full-time

Posted 4 days ago


TD SYNNEX rating

7.2

Company rating: 7.2 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

136th of 224 rated it services


Job description

About the RoleWe’re looking for a Senior Data Analyst to help turn complex cloud, financial, and operational data into clear, actionable insights that improve business performance. In this role, you will serve as a trusted analytical partner to Cloud Operations, Cloud Engineering, Cloud Accounting, and Cloud Sales Leadership, helping teams make smarter decisions across multi-cloud environments.This is a great opportunity for someone who enjoys moving beyond standard reporting to uncover meaningful trends, identify risks, and deliver recommendations that influence both strategy and execution. You’ll work with data from AWS, Azure, and Google Cloud Platform (GCP), as well as financial, operational, and customer data, to support cloud optimization, forecasting, operational performance, and decision-making.If you’re energized by solving business problems with data, building scalable analytics solutions, and helping leaders understand what matters most, this role offers strong visibility and the chance to make measurable impact.What You’ll Do

  • Analyze cloud spend, usage, and operational data to identify trends, risks, anomalies, and optimization opportunities.
  • Deliver insights and recommendations that improve cost efficiency, resource utilization, operational effectiveness, and financial performance.
  • Partner with business and technical stakeholders to define KPIs, scorecards, and success metrics aligned to organizational goals.
  • Build forecasting and predictive models to improve visibility into cloud spend, resource demand, capacity planning, and operational readiness.
  • Evaluate reservation strategies, savings plans, licensing impacts, and commitment-based discounts across cloud platforms.
  • Support budgeting, chargeback, showback, and cost allocation initiatives with advanced analytical modeling.
  • Develop dashboards, reporting models, and self-service analytics tools that help teams make faster, better-informed decisions.
  • Investigate recurring operational issues and recommend opportunities for automation, remediation, and process improvement.
  • Measure the impact of FinOps and optimization initiatives to quantify business value.
  • Communicate findings clearly to both technical and non-technical audiences, including senior leadership.

What You Bring

  • 3–5 years of experience in data analytics, business intelligence, cloud analytics, financial analytics, or a related field.
  • Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Finance, Statistics, Economics, Mathematics, or a related discipline.
  • Experience working with large, complex datasets and translating analysis into practical business recommendations.
  • Knowledge of AWS, Azure, and GCP cloud services, billing structures, and consumption models.
  • Experience creating dashboards, KPIs, scorecards, forecasts, and predictive models for operational and executive stakeholders.
  • Proficiency in Python, R, or other analytical programming languages.
  • Experience integrating data from multiple sources using APIs, automated workflows, and cloud-native analytics tools.
  • Understanding of data modeling, governance, data quality, and business performance metrics.
  • Familiarity with AI, machine learning, anomaly detection, and predictive analytics is a plus.

Preferred CertificationsCandidates with certifications in the following areas will be especially attractive:

  • FinOps
  • Cloud Platform Certification (AWS, Azure, or GCP)
  • Data Analytics / Business Intelligence
  • AI or Machine Learning

Why This Role Stands Out

This role offers the opportunity to shape how cloud and financial data are used to drive better decisions across the business. You’ll help leaders understand where to invest, where to optimize, and how to improve outcomes across a growing multi-cloud environment. It’s an ideal next step for someone who wants to deepen their expertise in cloud analytics, FinOps, predictive modeling, and strategic decision support.At TD SYNNEX, our values emphasize being bold, taking ownership, growing through continuous learning, and doing the right thing with integrity and respect. We welcome candidates with diverse backgrounds and experiences who are excited to bring curiosity, collaboration, and thoughtful problem-solving to the role.Work Environment

  • Professional office environment
  • Occasional non-standard work hours based on business needs

At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact.

What’s In It For You?

  • Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle.
  • Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses.
  • Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program.
  • Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities.
  • Make the Most of our Global Organization: Network with other new co-workers within your first 30 days through our onboarding program.
  • Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives.

Don’t meet every single requirement? Apply anyway.

At TD SYNNEX, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!

We are an equal opportunity employer and committed to building a team that represents and empowers a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity or expression, sexual orientation, protected veteran status, disability, genetics, age, or any other characteristic protected by law.

TD SYNNEX is an E-Verify company


What TD SYNNEX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom