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Internship Telecom Data Analyst Jobs (NOW HIRING)

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

The end client is in the Telecom area (internet, mobile, cable TV provider). Initial assignment 6 ... Neo4j data analysis. Experience with SQL Strong programming skills in Python or Java Excellent ...

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Internship Telecom Data Analyst information

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How much do internship telecom data analyst jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship telecom data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

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.
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Internship Telecom Data Analyst jobs near you
Infographic showing various Internship Telecom Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.
Product Manager Telecom Data Engineering

Product Manager Telecom Data Engineering

Talent Groups

Bellevue, WA • On-site

$188K - $195K/yr

Other

Posted 7 days ago

Job description

Job Description:

Experience: 10+ Years
Domain: Telecom (RAN, Network Operations, Fault Monitoring, Performance Analytics)

Job Summary

Seeking a Product Manager – Telecom Data Engineering to drive the vision, roadmap, and delivery of data products supporting RAN KPIs, fault monitoring, network alerts, performance analytics, and operational insights. The role requires close collaboration with telecom SMEs, data engineers, and business stakeholders to deliver scalable data solutions on cloud platforms.

 

Key Responsibilities

  • Define product strategy and roadmap for telecom data platforms.
  • Gather and prioritize requirements related to RAN KPIs, fault alarms, network health, and service assurance.
  • Work with data engineering teams to build ETL/ELT pipelines using Azure, Databricks, Snowflake, and ADF.
  • Define data models, dashboards, KPI metrics, and alerting requirements.
  • Manage product backlog, user stories, sprint planning, and releases.
  • Drive stakeholder engagement across Network Operations, Engineering, and Business teams.

Required Skills

  • Product Management / Product Owner experience
  • Telecom domain knowledge (RAN, OSS, Fault Management, Performance Management, Network KPIs)
  • Data Engineering concepts (Data Lake, ETL/ELT, Data Warehousing)
  • Azure Data Platform, Databricks, Snowflake, SQL
  • Agile / Scrum and stakeholder management

Preferred

  • Experience with real-time alerting and telecom monitoring platforms.
  • Knowledge of 4G/5G networks, network observability, and AI-driven operations.

 

Key Telecom Focus Areas: RAN KPIs, Fault Monitoring, Alarm Correlation, Network Health Dashboards, Service Assurance, Capacity & Performance Analytics.

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