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Internship Telecom Data Analyst Jobs in Florida (NOW HIRING)

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

Collaborate with data scientists, analysts, and application teams to support data needs * Ensure ... Telecom domain experience (preferred, not mandatory)

... data analysis or process analysis skillsets preferred. This can include coop or internship assignments - 2 years in an Industrial Engineering or equivalent role preferred. This can include coop or ...

... data analysis or process analysis skillsets preferred. This can include coop or internship assignments - 2 years in an Industrial Engineering or equivalent role preferred. This can include coop or ...

... data analysis or process analysis skillsets preferred. This can include coop or internship assignments - 2 years in an Industrial Engineering or equivalent role preferred. This can include coop or ...

Data Engineering Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

... Telecom|Network Inventory Planning & Management Technical Skills 4 Technology|Analytics - Packages|Python - Big Data Overview The Infosys Engineering unit is dedicated to amplifying product-centric ...

Showing results 41-60

Internship Telecom Data Analyst information

What does an internship telecom data analyst do?

An Internship Telecom Data Analyst assists in collecting, analyzing, and interpreting data related to telecommunications networks and services. They support senior analysts by generating reports, identifying trends, and providing actionable insights to improve network performance and customer experience. Interns may also help with data cleaning, database management, and using analytical tools to visualize data. This role provides an excellent opportunity to learn about telecom systems, data analytics techniques, and industry best practices.

What types of projects and tasks can an internship telecom data analyst expect to work on during their placement?

As an Internship Telecom Data Analyst, you can expect to be involved in analyzing large datasets related to network performance, customer usage patterns, and service quality. Typical tasks may include cleaning and processing data, generating reports, and assisting with predictive modeling to identify trends or areas for optimization. You may also collaborate closely with engineers, project managers, and other analysts to support ongoing initiatives and present your findings in meetings. This hands-on experience provides valuable exposure to real-world telecom data challenges and helps you develop both technical and teamwork skills.

What is the difference between Internship Telecom Data Analyst vs Telecom Data Analyst?

AspectInternship Telecom Data AnalystTelecom Data Analyst
Required CredentialsEnrolled in or recent graduate of relevant degree (e.g., Data Science, Telecommunications)Bachelor's or higher in related field, often with some experience
Work EnvironmentInternship setting, learning-focused, entry-level projectsFull-time professional role, responsible for analyzing telecom data
Employer & Industry UsageTelecom companies, internships for students or entry-level candidatesTelecom companies, ongoing data analysis and reporting

The main difference is that an Internship Telecom Data Analyst is a temporary, learning-focused position for students or recent graduates, while a Telecom Data Analyst is a full-time role requiring more experience and responsibility in analyzing telecom data for ongoing business needs.

What are the key skills and qualifications needed to thrive as an internship telecom data analyst, and why are they important?

To thrive as an Internship Telecom Data Analyst, you need a solid foundation in statistics, data analysis, and telecommunications concepts, typically supported by coursework in computer science, engineering, or related fields. Familiarity with data analytics tools such as SQL, Python, Excel, and visualization platforms like Tableau is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns translate complex data into actionable insights. These competencies enable accurate data interpretation and support informed decision-making within telecom organizations.
What are the most commonly searched types of Telecom Data Analyst jobs in Florida? The most popular types of Telecom Data Analyst jobs in Florida are:
Infographic showing various Internship Telecom Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Enterprise Data & Platform Security Analyst

Strategic Staffing Solutions

Lutz, FL • Hybrid

$60K - $80K/yr

Full-time

Medical, PTO

Posted 18 days ago


Job description

Job Description Enterprise Data & Platform Security Analyst Location: Lutz, FL (Hybrid - 3 days onsite / 1 day remote) Contract Salary: $60,000-$80,000 annually Benefits: 16 accrued PTO days, paid client holidays, medical benefits available Schedule: Tuesdays and Thursdays onsite (additional onsite day as required) Employment Type: W2 Only (No C2C or 1099) Work Authorization: Must be a U.S. Citizen or Green Card Holder Position Concept The Enterprise Data & Platform Security Analyst protects sensitive data across endpoints, networks, cloud services, and enterprise platforms by designing, implementing, and operating data protection controls. This role partners with Security, Infrastructure, Application, Legal, Privacy, and business teams to reduce the risk of data loss, improve governance, support regulatory compliance, and strengthen the organization's overall security posture

The role is also responsible for building and scaling security engineering capabilities across cloud infrastructure, identity systems, data services, Kubernetes and container platforms, CI/CD pipelines, secrets management, and platform observability. Primary Duties & Responsibilities 1. Enterprise Data Protection (30%) Design and lead enterprise-scale data protection strategies across on-premises, cloud, SaaS, and hybrid environments.

Define policy architecture, control objectives, and implementation patterns for: Data classification Encryption Retention Tokenization Data exfiltration prevention Drive roadmap planning, vendor evaluations, and continuous improvement initiatives for data protection platforms. 2. Secure Platform Architecture (25%) Define secure architecture patterns and engineering guardrails for: Kubernetes Containers Virtual infrastructure Storage platforms Managed cloud services APIs Infrastructure-as-Code (IaC) pipelines 3.

Incident Response & Investigations (10%) Lead complex incident investigations involving: Sensitive data exposure Insider risk Control breakdowns Coordinate remediation strategies and security architecture improvements across infrastructure, cloud, application, and data teams. Drive incident response activities including forensic coordination, containment recommendations, lessons learned, and control enhancements. 4.

Security Assessments (10%) Lead security assessments, threat analysis, and control design reviews for: Enterprise platforms Cloud environments Databases Middleware Business-critical applications Own vulnerability and misconfiguration investigations, prioritizing based on exploitability, business risk, and compensating controls. 5. Governance & Risk Communication (10%) Translate business, legal, privacy, and regulatory requirements into practical technical and operational controls.

Provide concise risk communication, metrics, and executive-ready summaries to leadership and governance stakeholders. 6. Standards & Continuous Improvement (10%) Develop and improve standards, baselines, playbooks, and security procedures for enterprise services and data platforms.

Develop dashboards, metrics, and trend analysis to measure policy effectiveness and risk reduction. 7. Technical Leadership (5%) Provide technical leadership, mentoring, and quality oversight for analysts and specialists at earlier career stages.

Knowledge, Skills & Abilities Required Deep understanding of cybersecurity principles including: Confidentiality Integrity Availability Least privilege Defense in depth Strong knowledge of: Data protection Networking Operating systems Cloud fundamentals Enterprise threat vectors Deep familiarity with enterprise environments, ticketing systems, and documentation practices. Experience with SIEM, DLP, or endpoint monitoring tools. Ability to review and interpret logs from: Active Directory VPN Endpoint security platforms Cloud environments Ability to independently investigate complex security incidents, build timelines, gather evidence, and document findings.

Ability to communicate technical findings to executive leadership through risk summaries and recommendations. Ability to manage multiple priorities in a fast-paced environment. Experience mentoring junior analysts and collaborating with HR, Legal, IT, Compliance, and business teams.

Excellent analytical, organizational, written, and verbal communication skills. Experience Minimum 5 years of Cybersecurity, Information Security, or related IT experience. Hands-on technical experience may include networking, telecommunications, communications systems, hardware, software, or related technologies.

Education Substitutions The following may substitute for experience: Associate degree in Computer Science, Information Systems, or related IT field with 3 years of experience. Bachelor's degree in Computer Science, Information Systems, or related IT field with 1 year of experience. Up to one year of formal internship or co-op IT experience may count toward the experience requirement.