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Data Analytics Manager Jobs in Florida (NOW HIRING)

Manager, Business Intelligence and Analytics COMPANY: Tampa Electric Company DEPARTMENT: Information Technologies/Advanced Digital Solutions PRIMARY FOCUS AREAS • Build Data and Analytics ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

Analytics Manager

Miami, FL · On-site

$131K/yr

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

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 ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

Analytics Manager

Miami, FL · On-site

$131K/yr

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

This role collaborates with Business team and Analytics team leaders on large and small data and ... Independently designs and manages analyses from start to finish, including but not limited to ...

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 while ...

Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics development and documentation. * Data solutions.

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 ...

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Showing results 1-20

Data Analytics Manager information

See Florida salary details

$23.2K

$72.6K

$128.5K

How much do data analytics manager jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data analytics manager in Florida is $72,595.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,300.00 and $93,800.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
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 are popular job titles related to Data Analytics Manager jobs in Florida? For Data Analytics Manager jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Florida look for? The top searched job categories for Data Analytics Manager jobs in Florida are:
What cities in Florida are hiring for Data Analytics Manager jobs? Cities in Florida with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Florida as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $72,595 per year, or $34.9 per hour.
Data Analytics Architect

Data Analytics Architect

TECO

Tampa, FL • On-site

Full-time

Medical, Dental, Retirement, PTO

Re-posted 26 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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