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Associate Degree In Data Analytics Jobs in Florida

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... Bachelor's degree in Information/Computer Science, Data/Information Management, Business ...

Tampa Electric Company is seeking a Data Analytics Architect to build and optimize data ... Required : • Bachelor's degree in Information/Computer Science, Data/Information Management ...

AVP, Audit Execution Analytics

Tampa, FL · Hybrid

$106K - $130K/yr

Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

AVP, Audit Execution Analytics

Tampa, FL · On-site

$106K - $130K/yr

Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning ... Power BI Data Analyst Associate, Tableau Desktop Specialist, AWS Certified Data Analytics, Azure ...

A Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. A Masters degree is preferred but not mandatory. * Proven experience as a Data Analyst or ...

Master's Degree in data science, statistics, bioinformatics, analytics, or similar field. Statistical consulting with faculty, staff, and graduate students on applied research projects in agriculture ...

Data Scientist IV

Gainesville, FL · On-site

$98K - $110K/yr

Master's Degree in data science, statistics, bioinformatics, analytics, or similar field and five years of experience; Doctoral Degree in data science, statistics, bioinformatics, analytics, or ...

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Associate Degree In Data Analytics information

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$2.4K

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How much do associate degree in data analytics jobs pay per month?

As of Jul 20, 2026, the average monthly pay for associate degree in data analytics in Florida is $4,700.92, according to ZipRecruiter salary data. Most workers in this role earn between $4,266.67 and $5,016.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
What are popular job titles related to Associate Degree In Data Analytics jobs in Florida? For Associate Degree In Data Analytics jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Associate Degree In Data Analytics jobs in Florida look for? The top searched job categories for Associate Degree In Data Analytics jobs in Florida are:
What cities in Florida are hiring for Associate Degree In Data Analytics jobs? Cities in Florida with the most Associate Degree In Data Analytics job openings:
Infographic showing various Associate Degree In Data Analytics job openings in Florida as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $56,411 per year, or $27.1 per hour.

Full-time

Medical, Dental, Retirement, PTO

Re-posted 27 days ago


Job description

Title: 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
PERFORMANCE COACH:     Manager, Business Intelligence and Analytics 
COMPANY:    Tampa Electric Company
DEPARTMENT:    Information Technologies/Advanced Digital Solutions

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

POSITION CONCEPT 
The Data and Analytics Architects responsible for the “back end” components of the organizations BIA environment from standards, architecture, and design perspectives.  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.  Provides technical oversight and assures the quality of the work done by data analysts and data engineers and  developers.  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.  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.  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.  

PRIMARY DUTIES AND RESPONSIBILITIES

1.    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.    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.    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.    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.    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.    Serves as a technical subject matter expert (SME) to provide consultation for BIA-related initiatives.     15%                                                                                                                                                                                                                                                                                                                                               
SUPERVISION
None


RELATIONSHIPS

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

QUALIFICATIONS

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

Direct Experience  
Required:    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. 
Hands-on experience with state-of-the-art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc.

Preferred:      Gas or Electric utility experience 
Experience working in large public or private-sector organizations 

Supervisory Experience 
NONE
    

Knowledge/Skills/Abilities (KSA)
Required:    
•    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.
•    Deep knowledge of and experience in establishing ETL application design standards as well as in designing and implementing such applications.

Preferred:    
•    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) 
•    Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc.
•    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  *Tuition Assistance Program * Employee Assistance Program * Wellness Programs * On-site Fitness Centers * Bonus Plan and more!

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