1

Data Analytics Jobs in Florida (NOW HIRING)

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect ...

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and City: Florida - Tampa Shift: 8 Hr. X 5 Days Recruiter: Mark Koener TITLE: Data & Analytics Architect ...

Data Analytics Engineer

Miami Lakes, FL ยท On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

Data Analytics Engineer

Miami, FL ยท On-site

$109K - $131K/yr

The Royal Caribbean Group's Revenue Planning & Analysis Team has an exciting career opportunity for a full time Data Analytics Engineer reporting to the Data Analytics Engineer Lead. The position is ...

Position Summary We are seeking a Data Science Manager to drive marketing performance through advanced analytics, predictive modeling, and data-driven insights. This role will partner with Marketing ...

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other ...

Overview SUMMARY / OVERALL PURPOSE We are seeking a Manager of Data Analytics & BI Reporting to lead and evolve a high-performing analytics function into a proactive, insight-driven business partner ...

next page

Showing results 1-20

Data Analytics information

See Florida salary details

$18

$40

$70

How much do data analytics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data analytics in Florida is $40.91, according to ZipRecruiter salary data. Most workers in this role earn between $32.88 and $46.35 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Florida? The most popular types of Data Analytics jobs in Florida are:
What cities in Florida are hiring for Data Analytics jobs? Cities in Florida with the most Data Analytics job openings:
Data Analytics Architect

Data Analytics Architect

TECO

Tampa, FL โ€ข On-site

Other

Medical, Dental, Retirement, PTO

Re-posted 21 days ago


Job description

Title: Data Analytics Architectย 
Company: Tampa Electric Company
Location: Midtown East Towerย 
State and City: Floridaย  - ย Tampa
Shift: 8 Hr. X 5 Days

Recruiter: Mark Koenerย 

TITLE: ย  ย Data & Analytics Architect
PERFORMANCE COACH: ย  ย  Manager, Business Intelligence and Analyticsย 
COMPANY: ย  ย Tampa Electric Company
DEPARTMENT: ย  ย Information Technologies/Advanced Digital Solutions

PRIMARY FOCUS AREAS
ย  ย Build Data and Analytics Architecture
ย  ย Build/Develop Data Strategy, Data Pipeline System Optimization and Security
ย  ย Technical Proficiency in Deep knowledge in relational databases, Data warehousing technologies snowflakes, Databricks and data modeling tools like DBT
ย  ย Strong ability to translate complex technical concepts to non-technical stakeholders

POSITION CONCEPTย 
The Data and Analytics Architects responsible for the "back end" components of the organizations BIA environment from standards, architecture, and design perspectives. ย Overall responsibility for the implementation and support of the data movement and engineering processes required to populate the organizations custom-built analytic data structures (e.g., staging areas, data warehouse and data marts) as well as the design of these structures. Responsible for the strategy and design related to the 'federation' of custom-built data architecture with vendor provided solutions. ย Provides technical oversight and assures the quality of the work done by data analysts and data engineers and ย developers. ย Serve as a subject matter expert with significant, recent hands-on experience with a state-of-the-art data integration and cleansing tools available in the SAP and Azure platforms etc. ย Responsible for assuring that data integration and cleansing tool suites are effectively deployed and applications are developed based on industry and vendor-specified best practices. ย Responsibility for ensuring that the organizations analytic data architecture effectively enables needed applications and develops standards in the areas of data modeling, metadata management, data integration and master data management. ย 

PRIMARY DUTIES AND RESPONSIBILITIES

1. ย  ย Define and evolve the data architecture in alignment with enterprise standards to support diverse use cases such as reporting, OLAP, dashboards, data mining, and statistical analysis. Ensure the architecture meets operational requirements including scalability, security, reliability, and flexibility. Determine the appropriate deployment environment, whether cloud-based or on-premise. 25%

2. ย  ย The Data Architect, in alignment with enterprise standards, is responsible for establishing best practices for source data analysis, ETL design and documentation, data federation across platforms (e.g., AMI, Empower, custom analytics), business rule placement (with the Information Architect), ETL testing and release management (with the Change Coordinator), database-level security (with DBAs), and data masking, anonymization, and tokenization. 15%

3. ย  ย The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL developers, and designing logical and physical analytic data structures. Responsibilities include deploying metadata tools to document data sources, analytic structures, semantic layers, and BI applications; implementing security for data integration and cleansing tools; collaborating on support environments and release management best practices; overseeing the operational environment; and working with DBAs and operations teams to monitor and optimize ETL and data structure performance. 15%

4. ย  ย Accountable for the quality of data model and ETL application deliverables and so is responsible for establishing and managing QA related functions including:
Testing (unit, system, stress, etc.) and Peer reviews (e.g., reviews of data models, ETL application design, etc.).15%
5. ย  ย Provides technical oversight of the activities of ETL developers and data analysts and provide coaching and mentoring to these BIA team members regarding technical skills and competencies.15%
6. ย  ย Serves as a technical subject matter expert (SME) to provide consultation for BIA-related initiatives. ย  ย  15% ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย  ย ย 
SUPERVISION
None


RELATIONSHIPS

Key Internal: ย  ย  ย Stakeholders of the BIA Solution.
Key External: ย  ย  SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers, Vendors.

QUALIFICATIONS

Educationย 
Required: ย  ย Bachelor's degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline. ย 
Preferred: ย  ย At least one professional certification in specific job-related disciplines preferred in addition to the requirements above.

Direct Experience ย 
Required: ย  ย 7 years of direct work experience performing the Duties & Responsibilities of this position or performing duties closely related to the Duties & Responsibilities of this position.ย 
Hands-on experience with state-of-the-art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc.

Preferred: ย  ย  ย Gas or Electric utility experienceย 
Experience working in large public or private-sector organizationsย 

Supervisory Experienceย 
NONE
ย  ย ย 

Knowledge/Skills/Abilities (KSA)
Required: ย  ย 
ย  ย Deep knowledge of and experience with SAP and Microsoft Azure suites (ETL, service bus and data quality tool components) and understanding of SAP HANA, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc. platforms and ability to provide thought leadership regarding their deployment.
ย  ย Deep knowledge of and experience in establishing ETL application design standards as well as in designing and implementing such applications.

Preferred: ย  ย 
ย  ย Demonstrated knowledge of Electric Grid Solutions such as ADMS (Advanced Distribution Management System), EMS (Energy Management System), AMI/MDM (Advanced Metering Infrastructure/Meter Data Management), Intergraph GIS (Geographical Information System)ย 
ย  ย Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc.
ย  ย Ability to assess emerging business & regulatory changes and articulate how these can positively impact the Company.

TECO offers a competitive Benefits package!!

Competitive Salary *401k Savings plan w/ company matching * Pension plan * Paid time off* Paid Holiday time * Medical, Prescription Drug, & Dental Coverage ย *Tuition Assistance Program * Employee Assistance Program * Wellness Programs * On-site Fitness Centers * Bonus Plan and more!

#LI-SC1