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Telecom Data Analyst Jobs in Texas (NOW HIRING)

Omni Inclusive

Data Engineer

Dallas, TX

$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

$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 ...

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 ...

Managed Staffing

Data analyst I

Austin, TX · On-site

$25 - $28/hr

Austin Texas 78744 COST ALLOCATION CODE SpeedChart Code Code SC00076290 - Telecom/Telecom ... Data Analysis Power BI Systems Support Technical Coordination Power Query Microsoft Excel Data ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · Hybrid

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · On-site

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · Hybrid

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · On-site

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · On-site

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · Hybrid

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · Hybrid

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · Hybrid

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · Hybrid

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

SBT Global, Inc.

AWS CloudOps Engineer

Plano, TX · On-site

$54/hr

Supported telecom data pipelines (4G/5G RAN, KPI feeds, CDRs) ingesting TB-scale data into AWS via ... Owned production EC2 and container platforms (ECS/EKS) running analytics, monitoring, and customer ...

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Showing results 1-20

All JobsTelecom Data Analyst JobsTelecom Data Analyst Jobs in Texas

Telecom Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do telecom data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for telecom data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

For a Telecom Data Analyst, starting a career in data science at age 30 is feasible, especially with relevant skills like programming, statistics, and experience with tools such as SQL or Python. Many professionals transition into data roles later in their careers, and continuous learning through certifications or online courses can enhance prospects. Age is less a barrier than skills, experience, and ongoing education in the field.

What is the role of a telecom data analyst?

A telecom data analyst collects, analyzes, and interprets data related to telecommunications networks and services to identify trends, optimize performance, and support decision-making. They often use tools like SQL, Excel, and data visualization software, and require strong analytical skills and knowledge of telecom systems. Their work helps improve network efficiency and customer experience.

What are the key skills and qualifications needed to thrive in the Telecom Data Analyst position, and why are they important?

To thrive as a Telecom Data Analyst, you need a strong background in data analysis, statistical methods, and telecommunications concepts, often supported by a relevant degree in computer science, mathematics, or engineering. Familiarity with data analysis tools like SQL, Python, R, and telecom-specific platforms such as OSS/BSS systems, along with certifications such as Certified Data Analyst or relevant vendor credentials, is highly valuable. Effective communication, analytical thinking, and attention to detail are essential soft skills for collaborating with cross-functional teams and translating data insights into actionable strategies. These capabilities are critical for optimizing network performance, identifying trends, and supporting data-driven decision-making in the fast-evolving telecom industry.

Is AI replacing data analysts?

AI is transforming the role of Telecom Data Analysts by automating routine data processing and analysis tasks, allowing analysts to focus on more strategic insights. While AI tools can handle large datasets efficiently, human expertise remains essential for interpreting complex patterns, making decisions, and ensuring data quality. The role continues to evolve with skills in machine learning, data visualization, and programming becoming increasingly valuable.

What is a Telecom Data Analyst job?

A Telecom Data Analyst analyzes and interprets large datasets related to telecommunications networks, customer usage, and operational performance. They use data mining, statistical analysis, and visualization tools to identify trends, optimize network performance, and support business decisions. Their role may involve working with big data platforms, SQL, Python, or other analytics tools to extract insights. Additionally, they collaborate with engineers, business teams, and stakeholders to improve service efficiency and customer experience.

What is the highest salary in telecom?

The highest salaries for Telecom Data Analysts can reach over $100,000 annually, especially for those with extensive experience, advanced skills in data analysis tools, and certifications. Senior roles or positions in large companies or specialized areas like network optimization tend to offer the highest compensation.

What does a typical day look like for a Telecom Data Analyst?

A typical day for a Telecom Data Analyst involves collecting and analyzing large sets of network data, identifying patterns or anomalies, and preparing detailed reports for technical and business teams. You might collaborate closely with engineers, IT specialists, and business analysts to improve network efficiency, solve issues, or support new projects. Many analysts also participate in regular meetings to discuss findings and recommend actionable changes based on data-driven insights. The role often includes monitoring key performance indicators (KPIs) and troubleshooting data discrepancies to ensure network reliability and customer satisfaction.

What are the most commonly searched types of Telecom Data Analyst jobs in Texas? The most popular types of Telecom Data Analyst jobs in Texas are:
What are popular job titles related to Telecom Data Analyst jobs in Texas? For Telecom Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Telecom Data Analyst jobs in Texas look for? The top searched job categories for Telecom Data Analyst jobs in Texas are:
What cities in Texas are hiring for Telecom Data Analyst jobs? Cities in Texas with the most Telecom Data Analyst job openings:
Telecom Data Analyst jobs near you
Infographic showing various Telecom Data Analyst job openings in Texas as of June 2026, with employment types broken down into 78% Full Time, 12% Part Time, and 10% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Data Engineer

Omni Inclusive

Dallas, TX

$113K - $136K/yr

Other

Posted 6 days ago

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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