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Offshore Data Analytics Jobs in Florida (NOW HIRING)

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers ...

Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers ...

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower ... SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers ...

Enterprise Analytics Data Engineer Company : Tampa Electric Company Location: Midtown East Tower ... SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers ...

The Analyst, AI Engineering is an offshore technical role that supports WAI's internal AI capability by helping build AI-ready data access, catalog intelligence, document ingestion, retrieval ...

Scrum Master - Project Delivery Analyst

Tampa, FL · Hybrid

$48.75 - $65/hr

... a Data & Analytics Foundry staff augmentation program supporting numerous business product teams (approx. 235 resources across onshore and offshore). * Facilitate SAFe/Agile team ceremonies and ...

Scrum Master - Project Delivery Analyst

Miami, FL · Hybrid

$49.25 - $65.75/hr

... a Data & Analytics Foundry staff augmentation program supporting numerous business product teams (approx. 235 resources across onshore and offshore). * Facilitate SAFe/Agile team ceremonies and ...

Project - Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

Project - Data Engineer II

Tampa, FL · On-site

$108K - $129K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

Project - Data Engineer II

Jacksonville, FL · On-site

$106K - $127K/yr

... offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications. * Design, build, and support ...

Lead Data Engineer

Destin, FL · On-site

$93K - $122K/yr

... the warehouse, direct the offshore engineering team that builds alongside you, and hold the ... This is the engineering counterpart to our analysts. Where they own the models and metrics a ...

New

Partner with offshore technical delivery teams to ensure successful solution implementation Required Skills and Experience * Bachelor's degree in Data Science, Business Analytics, Statistics, or ...

Partner with offshore technical delivery teams to ensure successful solution implementation Required Skills and Experience * Bachelor's degree in Data Science, Business Analytics, Statistics, or ...

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Showing results 1-20

Offshore Data Analytics information

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

AspectOffshore Data AnalyticsData Analyst
CredentialsBachelor's in Data Science, Analytics, or related field; often requires certifications like CAP, Microsoft Certified Data AnalystBachelor's in Data Science, Statistics, or related field; certifications are optional
Work EnvironmentRemote or offshore office settings, often in outsourcing hubsOn-site or remote within a company's office
Employer & IndustryOutsourcing companies, multinational corporations, consulting firmsCorporations, government agencies, financial institutions
Common Search & ComparisonYesYes

Offshore Data Analytics involves analyzing data remotely, often for multiple clients or companies, typically within outsourcing or consulting environments. Data Analysts usually work directly within a company's team, focusing on internal data. While both roles require similar skills and certifications, Offshore Data Analytics emphasizes remote, outsourced work, whereas Data Analysts are embedded within organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are less likely to be fully replaced by AI in the near future.

What field is the highest paid data analyst?

In the field of data analytics, those working in finance, technology, and consulting tend to earn the highest salaries. Specialized skills in machine learning, big data tools, and advanced statistical analysis often lead to higher compensation for data analysts in these industries.

Is 40 too late for data science?

Offshore Data Analytics roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, R, and SQL, along with gaining certifications or practical experience, can help establish credibility regardless of age.

What is an offshore data analyst?

An offshore data analyst is a professional who analyzes data remotely from a location outside the company's primary country, often working for organizations in different regions. They typically use data analysis tools like Excel, SQL, or Python and may work in flexible schedules due to time zone differences.
What are popular job titles related to Offshore Data Analytics jobs in Florida? For Offshore Data Analytics jobs in Florida, the most frequently searched job titles are:
What cities in Florida are hiring for Offshore Data Analytics jobs? Cities in Florida with the most Offshore Data Analytics job openings:

Data Analytics Architect

TECO

Tampa, FL

Other

Medical, Dental, Retirement, PTO

Re-posted 9 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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