Tampa Electric has supplied the Tampa Bay area with electricity since 1899. Its West Central Florida service area covers 2,000 square miles, including most of Hillsborough County and parts of Polk, Pasco and Pinellas counties.

The company has 4,400 megawatts of generating capacity and over 725,000 residential, commercial and industrial customers that depend on Tampa Electric for reliable power and value-added energy services.

Tampa Electric, one of Florida’s largest investor-owned electric utilities, is part of the TECO Energy family of companies. Tampa Electric serves nearly 725,000 customers in West Central Florida. TECO Energy Inc. (NYSE: TE) is an energy-related holding company with regulated electric and gas utilities in Florida and New Mexico: Tampa Electric, Peoples Gas System and New Mexico Gas Co.

Industry: Utilities
Company Size: 1,001-5,000 employees

Tampa Electric

Savvy Admin PROD

**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**

-  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%

-  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%

-  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%

-  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%

-  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%

-  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

**Required**

Knowledge/Skills/Abilities (KSA)

-  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!

Data Analytics Architect

From wellhead to refinery, from initial project engineering to ongoing integrity – Strike provides end-to-end pipeline, facilities, and energy infrastructure solutions. We offer:
• Major Capital Projects – Whether you’re building a major facility or looking for a partner to efficiently manage your large diameter pipeline initiative, we’ll collaborate closely with you to develop a customized, integrated solution. 
• Infrastructure Services – Leveraging our national footprint in combination with our local presence, we provide everything from initial construction to ongoing integrity, maintenance, and operations. We can deliver the end-to-end support you require safely, and with the strongest attention to detail.
• Renewable Energy – At the Strike family of companies, we partner with our clients for smooth energy transition as we strive for carbon neutrality. We have the skills and expertise to install a wide range of renewable energy solutions. Our renewable energy services include solar and wind farm construction and conversion programs.

Industry: Oil and Gas
Company Size: 1,001-5,000 employees

STRIKE

**Job Summary**

Strike is seeking a motivated and detail-oriented AI Analyst to support the development and implementation of AI and machine learning solutions. This entry-level role is ideal for candidates with a strong analytical foundation who are eager to grow their skills in AI, data science, and advanced analytics.

The position will work under the guidance of senior team members and management to analyze data, assist with model development, and help translate business problems into data-driven insights. This role is based at Strike’s corporate headquarters in The Woodlands, TX and reports to the Business Intelligence Manager.

**Key Responsibilities**

- Assist in collecting, cleaning, and preparing data for analysis and modeling.

- Perform exploratory data analysis to identify trends, patterns, and anomalies.

- Support development and testing of machine learning models and AI solutions.

- Help monitor model performance and report on accuracy and outcomes.

- Create basic dashboards, reports, and visualizations to communicate insights.

- Collaborate with team members to understand business requirements and translate them into analytical tasks.

- Document processes, models, and results for internal use.

- Stay current with AI tools, techniques, and best practices.

- Assist in identifying opportunities for automation and AI-driven improvements.

- Documents user manuals to describe operating procedures, and provide user training, as needed.

- Works closely with the assigned project manager(s) and other project resource to deliver high quality solutions and process improvements.

- Follows all approved Strike PMO and ITSM processes including the use of prescribed templates.

**Skills**

- Analytical thinking and problem solving.

- Curiosity and eagerness to learn.

- Time management and organization.

- Collaboration and teamwork.

- Ability to communicate effectively.

- Ability to quickly learn new solutions, processes, and procedures.

- Ability to understand business functionality and translate it into solution requirements.

- Understanding of the various software development lifecycles (e.g. Agile, Waterfall, etc.).

**Required Qualifications**

- Bachelor’s degree in Data Science, AI, Statistics, Mathematics, or a related field.

- Basic proficiency in Python, R, or a similar programming language.

- Familiarity with SQL and working with datasets.

- Understanding of fundamental statistics and data analysis concepts.

- Exposure to machine learning concepts (e.g., regression, classification, clustering).

- Experience with Excel and/or data visualization tools (Power BI, etc.).

- Strong attention to detail and willingness to learn.

- Good written and verbal communication skills.

**Preferred Qualifications**

- Experience with ML libraries through coursework or projects.

- Exposure to cloud platforms (Azure, AWS, or GCP).

- Experience using Microsoft’s Copilot suite.

- Basic knowledge of data pipelines or ETL processes.

- Familiarity with generative AI tools or APIs.

AI Analyst I

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