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Temporary Data Analytics Certificate Jobs (NOW HIRING)

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 ...

The Data Analytics Architect leads the design, integration, and governance of data systems that ... Licenses and Certifications * FAA Part 107 Remote Pilot Certification (required) Physical ...

Analyst, Data & Analytics

Long Beach, CA ยท On-site +1

$49K - $107K/yr

Works with complex datasets including claims, pharmacy, lab, and operational data to design ... Microsoft certification or similar technical credentials. To all current Molina employees: If you ...

Data Analytics- II

Bridgewater, NJ ยท On-site

$50 - $52/hr

Python, Statistics EDUCATION/CERTIFICATIONS: Bachelors or Masters in Computer Science / Data Science / Business Analytics By providing your phone number, you consent to: (1) receive automated text ...

Data Analytics Technical Expert

Washington, DC ยท On-site

$100K - $200K/yr

Position Overview The Data Analytics Technical Expert provides executive-level analytics leadership ... CSPO, DHS Mid-Level Project Management Certification, or equivalent. * 10 years of relevant ...

New

Data & Analytics - Manager CFGI, founded in 2000, is a dynamic and fast-growing financial ... * CPA or other relevant professional certification. * Experience with predictive analytics ...

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Temporary Data Analytics Certificate information

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$33K

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How much do temporary data analytics certificate jobs pay per year?

As of Jul 14, 2026, the average yearly pay for temporary data analytics certificate in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

Is a certificate in data analytics worth it?

A certificate in data analytics can enhance job prospects for roles like data analyst by demonstrating relevant skills in tools such as Excel, SQL, and Tableau. It provides foundational knowledge that can improve employability and support career advancement, especially when combined with practical experience.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals successfully transition into the field later in life. Gaining relevant skills through certifications, such as a Data Analytics Certificate, and building a portfolio can improve job prospects regardless of age.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but data analysts are essential for interpreting complex insights, making strategic decisions, and applying domain knowledge. The role of a data analyst evolves with technology, emphasizing skills in data visualization, storytelling, and tool proficiency like SQL and Python. Certifications in data analytics can enhance job security as AI complements rather than replaces human expertise.

What can I do with a certificate in data analytics?

A certificate in data analytics can qualify you for roles such as data analyst, business analyst, or data technician, where you analyze data sets, create reports, and support decision-making. It often involves skills in tools like Excel, SQL, and visualization software, and can lead to entry-level positions in various industries. The certification demonstrates foundational knowledge and technical competence in data analysis tasks.

What is the difference between Temporary Data Analytics Certificate vs Data Analyst?

AspectTemporary Data Analytics CertificateData Analyst
CredentialsShort-term certification, often online or workshop-basedBachelor's degree in related field, sometimes certifications
Work EnvironmentTraining programs, short-term projects, entry-level rolesFull-time employment in various industries
Employer UsageUsed to gain foundational skills quicklyExpected to perform data analysis tasks regularly

The Temporary Data Analytics Certificate provides quick, focused training for entry-level skills, while a Data Analyst role involves applying those skills in a full-time job with ongoing responsibilities. The certificate is ideal for beginners seeking to enter the field, whereas a Data Analyst position requires more experience and a broader skill set.

What cities are hiring for Temporary Data Analytics Certificate jobs? Cities with the most Temporary Data Analytics Certificate job openings:
What are the most commonly searched types of Data Analytics Certificate jobs? The most popular types of Data Analytics Certificate jobs are:
What states have the most Temporary Data Analytics Certificate jobs? States with the most job openings for Temporary Data Analytics Certificate jobs include:

Full-time

Medical, Dental, Retirement, PTO

Re-posted 20 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
โ€ข    Build Data and Analytics Architecture
โ€ข    Build/Develop Data Strategy, Data Pipeline System Optimization and Security
โ€ข    Technical Proficiency in Deep knowledge in relational databases, Data warehousing technologies snowflakes, Databricks and data modeling tools like DBT
โ€ข    Strong ability to translate complex technical concepts to non-technical stakeholders

POSITION CONCEPT 
The Data and Analytics Architects responsible for the โ€œback endโ€ 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 โ€˜federationโ€™ 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:    Bachelorโ€™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:    
โ€ข    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.
โ€ข    Deep knowledge of and experience in establishing ETL application design standards as well as in designing and implementing such applications.

Preferred:    
โ€ข    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) 
โ€ข    Knowledge of fundamentals of Data Science, Artificial Intelligence (Machine Learning etc.), Block Chain etc.
โ€ข    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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