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Hourly Telecom Data Analyst Jobs (NOW HIRING)

eTeam

AI/ML Data Architect

Basking Ridge, NJ · On-site

$65.75 - $84.50/hr

... Telecom domain. This role involves architecting AI-ready data platforms that power intelligent automation and advanced analytics, while also ensuring secure integration and governance of data ...

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 ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

... Type Hourly Pay Rate USD 20.87-30.29 Markup 40.50% Bill Rate USD 29.32235-42.55745/hr Standard ... Austin Texas 78744 COST ALLOCATION CODE SpeedChart Code Code SC00076290 - Telecom/Telecom ...

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How much do hourly telecom data analyst jobs pay per year?

As of Aug 4, 2026, the average yearly pay for hourly telecom data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an hourly telecom data analyst do?

An Hourly Telecom Data Analyst is responsible for collecting, analyzing, and interpreting data related to telecommunications networks and services. They may work with call records, network usage patterns, and customer data to identify trends, optimize operations, and support business decisions. Typically, these analysts work on an hourly basis, handling tasks such as generating reports, monitoring network performance, and ensuring data accuracy. Their insights help telecom companies improve efficiency, reduce costs, and enhance customer experience.

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

AspectHourly Telecom Data AnalystTelecom Data Analyst
Work ScheduleHourly, often part-time or project-basedFull-time, salaried
CertificationsTypically no specific certifications requiredOften requires certifications like CCNA, Cisco, or data analysis credentials
Work EnvironmentContract or temporary roles, often in telecom offices or remotePermanent roles in telecom companies or consulting firms
Job FocusData analysis on an hourly basis, project-specific tasksOngoing data analysis, strategic reporting

Hourly Telecom Data Analysts usually work on short-term projects with flexible hours, focusing on specific data tasks without requiring advanced certifications. Telecom Data Analysts tend to have full-time roles with more responsibilities, often requiring certifications and a broader scope of analysis within the telecom industry.

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

To thrive as an Hourly Telecom Data Analyst, you need strong analytical skills, proficiency in data management, and a background in mathematics or statistics, often supported by a relevant degree or coursework. Familiarity with telecom databases, data visualization tools like Tableau or Power BI, and experience in SQL or Python are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for interpreting complex data and collaborating with teams. These skills are crucial for accurately analyzing telecom data, identifying trends, and supporting data-driven business decisions.
More about Hourly Telecom Data Analyst jobs
What cities are hiring for Hourly Telecom Data Analyst jobs? Cities with the most Hourly Telecom Data Analyst job openings:
What are the most commonly searched types of Telecom Data Analyst jobs? The most popular types of Telecom Data Analyst jobs are:
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What job categories do people searching Hourly Telecom Data Analyst jobs look for? The top searched job categories for Hourly Telecom Data Analyst jobs are:
Hourly Telecom Data Analyst jobs near you
Infographic showing various Hourly Telecom Data Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Senior Telecom Data Streaming Architect

Scalence L.L.C.

Irving, TX • On-site

$62.50 - $83.50/hr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Scalence L.L.C. is looking for a Senior Telecom Data Streaming Architect to focus on high-volume telecom data processing and event-driven streaming systems. The role involves working with telecom vendors and real-time network analytics, emphasizing cloud-native distributed systems and telecom network data platforms.
Responsibilities:
• High-volume telecom data processing
• Event-driven streaming systems
• Real-time data mediation
• Cloud-native distributed systems
• Telecom network data platforms
Qualifications:
Required:
• Either of Nokia| Samsung| Ericsson| Cisco| Ciena dev experience (Embedded Solution Architect).
• Cloud technologies - k8| ELK| Kafka| S3| looker (even better if on-premise cloud architecture).
• Event driven architecture| streaming architecture| worked in high data volume projects| Java| Python| Golang.
• 3GPP standards used in projects. Even better if worked in Data Mediation.
• 15 years of hands-on experience- coding| design| architecture| testing.
Company:
In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience. Founded in , the company is headquartered in Morristown, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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