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Telecom Data Analyst Jobs (NOW HIRING)

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 ...

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 ...

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 ...

Data Analytics Engineer

Denver, CO · Remote

$77K - $118K/yr

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 ...

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 ...

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

Data Analyst Location: Hamden, CT Amphenol High Speed Products Group is the market leader for high ... the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our ...

Analyze OSS/NMS alarm data to identify patterns, trends, and recurring fault signatures * Develop ... Experience with telecom network domains (RAN/Core/IEN) * Knowledge of OSS/NMS/EMS systems and alarm ...

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 ...

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 ...

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 ...

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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Telecom Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do telecom data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for 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 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.

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 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.

More about Telecom Data Analyst jobs
What cities are hiring for Telecom Data Analyst jobs? Cities with the most 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 Telecom Data Analyst jobs? States with the most job openings for Telecom Data Analyst jobs include:
What job categories do people searching Telecom Data Analyst jobs look for? The top searched job categories for Telecom Data Analyst jobs are:
Infographic showing various Telecom Data Analyst job openings in the United States as of June 2026, with employment types broken down into 78% Full Time, 11% Part Time, and 11% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

$113K - $136K/yr

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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