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Data Integration Analyst Jobs in Florida (NOW HIRING)

Trilyon, Inc.

Data Warehouse Analyst

Tallahassee, FL · On-site

Develop and support data integration solutions using Snowflake Data Cloud and Informatica IICS ... Analyze transactional data sources and optimize warehouse models for analytics and reporting.

MDAEdge

Data Warehouse Analyst

Tallahassee, FL · On-site

... Integration and Data Warehousing experience with Informatica IDMC tools (IDMC tools like IDMC CDI ... analysis. • Experience designing data models for Business Intelligence tools like Power BI ...

Inteliblue

Data Warehouse Analyst

Tallahassee, FL · On-site

Data Warehouse Analyst Location: Tallahassee, FL Duration: Long Term Interview Type: In-person ... Required Skills: * 7 Years experience in Data Warehousing and Data Integration. * 4 Years ...

InstantServe LLC

Data Warehouse Analyst

Tallahassee, FL · On-site

Extensive experience with Informatica IICS Cloud Data Integration tools and Snowflake is preferred ... Performs analyses, development, and evaluation of data mining in the Snowflake cloud data warehouse ...

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Data Integration Analyst information

See Florida salary details

$15.7K

$65.9K

$124.4K

How much do data integration analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data integration analyst in Florida is $65,949.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $83,300.00 per year, depending on experience, location, and employer.

What does a data integration analyst do?

As a data integration analyst, you perform a variety of duties related to improving and normalizing data. Your job duties include scrubbing data, writing testing scripts, performing quality control on data and data storage, and enabling data access. You ensure all computer programs are able to integrate collected data. A career as a data integration analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in information technology (IT) or a related field. You should have some prior work experience in IT, strong analytical problem-solving skills, and excellent attention to detail.

What is the difference between Data Integration Analyst vs Data Engineer?

AspectData Integration AnalystData Engineer
Required SkillsData analysis, SQL, ETL tools, data mappingProgramming (Python, Java), database architecture, data pipeline development
CertificationsSQL certifications, data management certificationsCloud certifications (AWS, GCP), programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, software development environments
Industry UsageFinance, healthcare, retailTechnology, finance, large-scale data platforms

While both roles involve working with data, Data Integration Analysts focus on consolidating and analyzing data from various sources using ETL tools and SQL. Data Engineers build and maintain the infrastructure and pipelines that enable data flow across systems. The roles often collaborate but differ in technical depth and scope.

What is a data integration analyst?

A Data Integration Analyst is a professional who specializes in combining data from different sources to create a unified view for analysis and reporting. They work with various databases, applications, and data formats to ensure information flows seamlessly across systems. Their role often includes designing and maintaining data pipelines, troubleshooting integration issues, and ensuring data quality and consistency. Data Integration Analysts play a key role in helping organizations make informed decisions by providing accurate and comprehensive data.

What are some common challenges faced by data integration analysts when working with disparate data sources?

Data Integration Analysts often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation across different systems. Collaborating with IT, business stakeholders, and external vendors to understand source data and resolve discrepancies is a frequent part of the job. Managing these complexities requires strong problem-solving skills, attention to detail, and effective communication to ensure accurate and efficient data integration.

What are the key skills and qualifications needed to thrive as a data integration analyst, and why are they important?

To thrive as a Data Integration Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), SQL, and data integration platforms is typically required, as well as knowledge of APIs and data warehousing solutions. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills that help in collaborating with diverse teams and stakeholders. These competencies are crucial for ensuring seamless data flow, accurate reporting, and strategic decision-making within organizations.
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What job categories do people searching Data Integration Analyst jobs in Florida look for? The top searched job categories for Data Integration Analyst jobs in Florida are:
What are popular job titles related to Data Integration Analyst jobs in FL? For Data Integration Analyst jobs in FL, the most frequently searched job titles are:
Data Integration Analyst jobs near you
Infographic showing various Data Integration Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,949 per year, or $31.7 per hour.

Data Architect, Data Modeling & Integration Design Focus

TECO

Tampa, FL • On-site

$60.25 - $77.50/hr

Other

Medical, Dental, Retirement, PTO

Re-posted 2 days ago

Job description

Title: Data Architect, Data Modeling & Integration Design Focus 
Company: Tampa Electric Company
Location: Midtown East Tower 
State and City: Florida  -  Tampa
Shift: 8 Hr. X 5 Days

Recruiter: Mark Koener 

TITLE:    Data Architect, Data Modeling & Integration Design Focus 
PERFORMANCE COACH:     Manager IT Data Analytics & Reporting 
COMPANY:    Tampa Electric Company
DEPARTMENT:    Information Technologies/Advanced Digital Solutions

FOCUS AREAS
   Advanced Data Modeling and Database Design
   Cloud Data Platform Expertise
   Data Governance, Security, and Compliance
   ETL/ELT and Data Integration Design
   Data Virtualization and Data Mesh Design
   Build Data Architecture

POSITION CONCEPT 
The Data Architects responsible for the "back end" components of the organizations Data Analytics 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 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-premises. (25%)
2.    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.    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 regarding technical skills and competencies. (15%)
6.    Serves as a technical subject matter expert (SME) to provide consultation. (15%)                                                                                                                                                                                                                                                                                                                               

QUALIFICATIONS
Education 
Required:    Bachelor's Degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or related field.  
Licenses/Certifications
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. 
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. 

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 and 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.

#LI-SC1

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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