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Data Analysis Manager Jobs in New Port Richey, FL

This role bridges technical data analysis with business reporting, ensuring that energy usage ... Core Responsibilities Data Collection & Management: Gather energy data from internal systems, SAP ...

This role bridges technical data analysis with business reporting, ensuring that energy usage ... Core Responsibilities Data Collection & Management: Gather energy data from internal systems, SAP ...

This role bridges technical data analysis with business reporting, ensuring that energy usage ... Core Responsibilities Data Collection & Management: Gather energy data from internal systems, SAP ...

Data Management is a high-impact, fast paced team focused on strategic data solutions, supporting ... The ideal candidate for this position is a self-starter with strong analytical skills and a ...

MANAGER-DATA COLLECTION & ANALYSIS The University of Alabama at Birmingham General Responsibilities: Responsible for the collection and analysis of data on a departmental-wide basis, where multiple ...

New

... management. * Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications:

... management. * Working collaboratively with data engineers and data scientists to produce qualitative and quantitative analysis of data that support Sponsor products. Minimum Qualifications:

Data Analyst (TS/SCI)

Tampa, FL · On-site

$90 - $120/hr

Collecting, cleaning, and preparing data for analysis, applying statistical techniques and ... WWC Global, an operating firm of Command Holdings, is atribally-ownedfirm providing management ...

New

As a core member of the Data Management Team within Enterprise Data Solutions, an Associate ... The ideal candidate for this position is a self-starter with strong analytical skills and a ...

Data Analyst

Tampa, FL · On-site

$70 - $100/hr

... Management, internal Quality Audit Program, Root Cause Analysis (RCA) process, and Corrective and Preventive Action (CAPA) planning. The TPQI team supports and works closely with the Test and ...

New

Sr Data Analyst

Tampa, FL · On-site

$81K - $102K/yr

... data analysis and gathering data requirements. The successful candidate should be adept at ... manager before applying for the job. * If you are not a PMI employee and employed by a third an ...

Sr Data Analyst

Tampa, FL · On-site

$78K - $98K/yr

... data analysis and gathering data requirements. The successful candidate should be adept at ... manager before applying for the job. * If you are not a PMI employee and employed by a third an ...

New

FP&A Manager-Technology

Tampa, FL · On-site

$98.23 - $186.22/hr

## FP&A Manager-TechnologyApplylocations: USA WI Milwaukee: USA PA Philadelphia: USA TX Dallas 12221 ... data integrity, reporting accuracy, and process alignment.* Drive process improvements and ...

New

... analysis within the Corporate Real Estate Services (CRS) team. This role will involve close ... managers. * Act as a subject matter expert (SME) and provide guidance on BI best practices.

Showing results 21-40

Data Analysis Manager information

See New Port Richey, FL salary details

$20K

$79K

$128.3K

How much do data analysis manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analysis manager in New Port Richey, FL is $78,972.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $96,600.00 per year, depending on experience, location, and employer.

What does a data analysis manager do?

A Data Analysis Manager oversees teams that collect, process, and interpret data to help organizations make informed business decisions. They are responsible for managing data projects, ensuring data quality, and translating complex data findings into actionable insights for stakeholders. Additionally, they often coordinate with other departments, set analytical strategies, and mentor data analysts. Their role is crucial for driving data-driven decision-making in a company.

What are the key skills and qualifications needed to thrive as a data analysis manager?

To thrive as a Data Analysis Manager, you need advanced analytical skills, a strong background in statistics or data science, and relevant experience often backed by a degree in mathematics, computer science, or a related field. Expertise in tools such as SQL, Python, R, and business intelligence platforms, along with proficiency in data visualization software like Tableau or Power BI, is typically required. Leadership, effective communication, and problem-solving abilities are crucial soft skills for managing teams and translating complex data insights into actionable business strategies. These skills and qualities are essential for driving data-informed decision-making and ensuring the success of analytics initiatives within an organization.

How does a data analysis manager typically collaborate with other departments within an organization?

A Data Analysis Manager regularly partners with teams such as marketing, finance, operations, and IT to identify data needs and translate business questions into actionable analysis. They facilitate communication between data analysts and stakeholders, ensuring that data insights are aligned with organizational goals. By leading cross-functional meetings and presenting findings to non-technical audiences, they help drive data-informed decision-making across the company. This collaborative approach not only enhances the impact of analytics but also fosters a culture of data literacy throughout the organization.

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

AspectData Analysis ManagerData Analyst
ResponsibilitiesOversees data analysis projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to support business decisions
Required SkillsLeadership, project management, advanced analyticsStatistical analysis, data visualization, technical skills
QualificationsBachelor's or master's in data science, statistics, or related field; experience in managementBachelor's in data science, statistics, or related field; technical proficiency
Work EnvironmentTypically in corporate offices, leading teamsOften in office or remote, focused on individual analysis tasks

The main difference between a Data Analysis Manager and a Data Analyst lies in scope and responsibilities. The manager oversees teams and strategic projects, while the analyst focuses on executing data analysis tasks. Both roles require strong analytical skills and relevant qualifications, but the manager's role emphasizes leadership and project management.

What are the most commonly searched types of Data Analysis jobs in New Port Richey, FL?

The most popular types of Data Analysis jobs in New Port Richey, FL are:

What are popular job titles related to Data Analysis Manager jobs in New Port Richey, FL?

For Data Analysis Manager jobs in New Port Richey, FL, the most frequently searched job titles are:

What job categories do people searching Data Analysis Manager jobs in New Port Richey, FL look for?

The top searched job categories for Data Analysis Manager jobs in New Port Richey, FL are:

What cities near New Port Richey, FL are hiring for Data Analysis Manager jobs?

Cities near New Port Richey, FL with the most Data Analysis Manager job openings:

Infographic showing various Data Analysis Manager job openings in New Port Richey, FL as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $78,972 per year, or $38 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!

#LI-SC1