Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... At least one professional certification in specific job-related disciplines preferred in addition ...
Data Analytics Architect Company : Tampa Electric Company Location: Midtown East Tower State and ... At least one professional certification in specific job-related disciplines preferred in addition ...
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Senior Manager of Data Analytics
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Lead a team of analytics professionals, delivering data-driven insights to support business decision-making. Responsible for managing analytics projects, collaborating with stakeholders, and ...
Data Analytics Professional information
See salary details
$24.52 - $30.88
10% of jobs
$30.88 - $37.24
6% of jobs
$37.24 - $43.60
7% of jobs
$44.33 is the 25th percentile. Wages below this are outliers.
$43.60 - $49.96
14% of jobs
The median wage is $53.27 / hr.
$49.96 - $56.32
24% of jobs
$60.73 is the 75th percentile. Wages above this are outliers.
$56.32 - $62.67
19% of jobs
$62.67 - $69.03
11% of jobs
$69.03 - $75.39
3% of jobs
$75.39 - $81.75
2% of jobs
$81.75 - $88.11
2% of jobs
$88.11 - $94.47
1% of jobs
$24
$54
$94
How much do data analytics professional jobs pay per hour?
What is the difference between Data Analytics Professional vs Data Analyst?
| Aspect | Data Analytics Professional | Data Analyst |
|---|---|---|
| Credentials | Often requires a degree in data science, statistics, or related fields; certifications like CAP, Google Data Analytics | Typically holds a degree in similar fields; certifications are common but not mandatory |
| Work Environment | Works across various industries, often in teams, handling complex data projects | Focuses on data collection, cleaning, and basic analysis, often in business settings |
| Employer & Industry Usage | Used in tech, finance, healthcare, and consulting firms | Common in retail, marketing, finance, and healthcare sectors |
While both roles involve analyzing data, Data Analytics Professionals often handle more complex projects and require broader skill sets, including advanced analytics and data modeling. Data Analysts typically focus on data preparation and basic analysis to support decision-making. Both roles are essential in data-driven organizations, but the scope and complexity of tasks differ.
Is data analytics still a good career?
What career can I do with data analytics?
What cities are hiring for Data Analytics Professional jobs?
Cities with the most Data Analytics Professional job openings:
What are the most commonly searched types of Data Analytics jobs?
The most popular types of Data Analytics jobs are:
What states have the most Data Analytics Professional jobs?
States with the most job openings for Data Analytics Professional jobs include:
Job description
Title: Data Analytics ArchitectÂ
Company: Tampa Electric Company
Location: Midtown East TowerÂ
State and City: Florida -  Tampa
Shift: 8 Hr. X 5 Days
Recruiter: Mark KoenerÂ
TITLE: Â Â Data & Analytics Architect
PERFORMANCE COACH: Â Â Manager, Business Intelligence and AnalyticsÂ
COMPANY: Â Â Tampa Electric Company
DEPARTMENT: Â Â 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 CONCEPTÂ
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. Â
PRIMARY DUTIES AND RESPONSIBILITIES
1. Â Â 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. Â Â 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. Â Â 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. Â Â 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. Â Â 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. Â Â Serves as a technical subject matter expert (SME) to provide consultation for BIA-related initiatives. Â Â 15% Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â
SUPERVISION
None
RELATIONSHIPS
Key Internal: Â Â Â Stakeholders of the BIA Solution.
Key External: Â Â SAP, Microsoft, Oracle, Consultants (System Integrators, Offshore Teams), Contractors, Customers, Vendors.
QUALIFICATIONS
EducationÂ
Required: Â Â Bachelor's degree in Information/Computer Science, Data/Information Management, Business Administration, Engineering, Mathematics, Information Systems, or equivalent discipline. Â
Preferred: Â Â At least one professional certification in specific job-related disciplines preferred in addition to the requirements above.
Direct Experience Â
Required: Â Â 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.Â
Hands-on experience with state-of-the-art platforms: SAP BW4/HANA, HANA Enterprise, SQL Server, Oracle, Microsoft Azure, Microsoft PowerBI etc.
Preferred: Â Â Â Gas or Electric utility experienceÂ
Experience working in large public or private-sector organizationsÂ
Supervisory ExperienceÂ
NONE
  Â
Knowledge/Skills/Abilities (KSA)
Required: Â Â
  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: Â Â
  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)Â
  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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