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Hourly Telecom Data Analyst Jobs (NOW HIRING)

Omni Inclusive

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

You will work closely with our data scientists and business analysts to help drive data-driven decisions and support our telecom operations. Key Responsibilities * Design, develop, and maintain ...

Damco

Snowflake Sr Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

You will work closely with our data scientists and business analysts to help drive data-driven decisions and support our telecom operations. Key Responsibilities * Design, develop, and maintain ...

Damco Solutions

Snowflake Sr Data Engineer

Dallas, TX · Hybrid

$113K - $136K/yr

You will work closely with our data scientists and business analysts to help drive data-driven decisions and support our telecom operations. Key Responsibilities * Design, develop, and maintain ...

Zayo

Data Analytics Engineer

Denver, CO · On-site +1

$77/hr

In this role, you will combine deep telecom data expertise with technical acumen and problem ... You'll also analyze existing processes and data pipelines to identify improvement opportunities ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

The Data Analyst will partner closely with management and stakeholders to clearly define problems ... Leverage domain knowledge of the cable/telecom industry to quickly understand issues and data ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

The Data Analyst will partner closely with management and stakeholders to clearly define problems ... Leverage domain knowledge of the cable/telecom industry to quickly understand issues and data ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

The Data Analyst will partner closely with management and stakeholders to clearly define problems ... Leverage domain knowledge of the cable/telecom industry to quickly understand issues and 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 ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

The end client is in the Telecom area (internet, mobile, cable TV provider). Initial assignment 6 ... Experience with Neo4j data analysis. Experience with both SQL and graph databases. Strong ...

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 ...

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 ...

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All JobsHourly Telecom Data Analyst Jobs

Hourly Telecom Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 23, 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.

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.
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Hourly Telecom Data Analyst jobs near you

Data Engineer

Omni Inclusive

Dallas, TX • On-site

$113K - $136K/yr

Other

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

Job description

Data Engineer

We are seeking a talented Data Engineer with 7+ years of experience to join our team in the telecom industry. The ideal candidate will have a strong background in data engineering, with specific experience in telecom data processing, ETL development, and data pipeline optimization. You will work closely with our data scientists and business analysts to help drive data-driven decisions and support our telecom operations.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes for telecom data.
  • Work with large datasets from telecom operations, including call records, network performance metrics, and customer usage data.
  • Develop and maintain efficient data processing architectures to support real-time data ingestion and transformation.
  • Develop and maintain an ontology model to represent relationships between telecom entities (e.g., accounts, devices, transactions) for fraud analysis.
  • Design efficient, reusable queries to support relational data exploration within the Graph DB, enabling fraud detection and pattern recognition.
  • Analysis of the graph extracts to ensure alignment to use case requirements.
  • Exploratory data analysis for all the data sources to meet use case requirements
  • Optimize data storage and retrieval mechanisms to support data analytics and reporting needs.
  • Collaborate with cross-functional teams (data science, product, and engineering) to understand data requirements and deliver solutions.
  • Ensure data quality and integrity through robust monitoring, validation, and troubleshooting practices.
  • Implement and manage data security practices, including encryption and access control, in compliance with telecom industry standards.
Required Skills & Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 3–5 years in data engineering, with a focus on telecom or similar data-intensive domains.
  • Technical Skills:
    • Proficiency in SQL and experience with data warehouses (e.g., Snowflake, Redshift, BigQuery).
    • Strong experience in programming languages like Python and Scala for data processing.
    • Familiarity with big data frameworks such as Apache Spark, Hadoop, or similar.
    • Knowledge of ETL tools (e.g., Informatica, Talend, Apache NiFi) is preferable.
    • Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud (GCP) for data solutions is preferable.
    • Understanding of telecom-specific data sources and structures (e.g., call data records, network KPIs) is advantage.
  • Strong experience with data integration, data modeling, and data governance.
  • Excellent analytical skills with keen attention to detail.
  • Ability to convey complex technical information effectively to stakeholders.
Preferred Qualifications
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Knowledge of telecom protocols, standards, and metrics is a strong advantage.

Certification in cloud technologies or data engineering (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) is a plus

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