ZipRecruiter

Log In

1

Hourly Telecom Data Analyst Jobs (NOW HIRING)

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 ...

Incedo

Data Analyst

Austin, TX · On-site

We combine services and products to maximize business impact for our clients in telecom, Banking ... As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and ...

next page

Showing results 1-20

All JobsHourly Telecom Data Analyst Jobs

Hourly Telecom Data Analyst information

See salary details

$34K

$82.6K

$136K

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

As of Jul 14, 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 are the typical day-to-day responsibilities of an Hourly Telecom Data Analyst?

As an Hourly Telecom Data Analyst, your daily tasks often include collecting and analyzing large sets of telecom data, monitoring network performance, and generating reports to identify trends or issues. You may also collaborate closely with network engineers and IT teams to troubleshoot connectivity problems and ensure data accuracy. Additionally, you’ll likely be responsible for maintaining data integrity, updating databases, and presenting findings to management or clients. This role requires strong attention to detail and the ability to work efficiently on time-sensitive assignments.

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.

Is 40 too late for data science?

For an hourly telecom data analyst, age is generally not a barrier to entering data science. Success depends on acquiring relevant skills such as programming, statistics, and data visualization, which can be developed at any age through training or certifications. Many professionals transition into data science later in their careers with the right education and experience.

How much do data analysts get paid per hour?

Hourly telecom data analysts typically earn between $20 and $40 per hour, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher wages.

How much do data analysts charge per hour?

Hourly telecom data analysts typically charge between $25 and $75 per hour, depending on experience, location, and the complexity of the analysis. Senior analysts with specialized skills or certifications may charge higher rates, especially for short-term or consulting projects.

What is a telecom data analyst?

A telecom data analyst is a professional who collects, analyzes, and interprets data related to telecommunications networks and services. They use tools like SQL, Excel, and data visualization software to identify trends, improve network performance, and support business decisions in the telecom industry.

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:
What states have the most Hourly Telecom Data Analyst jobs? States with the most job openings for Hourly Telecom Data Analyst jobs include:
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
Product Manager Telecom Data Engineering

Product Manager Telecom Data Engineering

Talent Groups

Bellevue, WA • On-site

$188K - $195K/yr

Other

This job post has expired today. Applications are no longer accepted.

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.

Apply