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Seasonal 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 ...

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

$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 ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · On-site +1

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

Purple Drive Technologies

Network Data Analyst

Tampa, FL · On-site

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 ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · On-site +1

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 JobsSeasonal Telecom Data Analyst Jobs

Seasonal Telecom Data Analyst information

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$34K

$82.6K

$136K

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

As of Jun 16, 2026, the average yearly pay for seasonal 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 is the difference between Seasonal Telecom Data Analyst vs Telecom Data Analyst?

AspectSeasonal Telecom Data AnalystTelecom Data Analyst
CredentialsBachelor's in Data Analysis, Telecommunications, or related field; certifications like CCNA or data analytics certificationsSame as Seasonal Telecom Data Analyst
Work EnvironmentTemporary, project-based roles during peak seasons in telecom companiesFull-time, year-round positions in telecom firms or service providers
Employer & Industry UsagePrimarily in telecom companies during high-demand periodsThroughout the year in telecom industry roles
Search & Comparison IntentOften searched for seasonal or temporary telecom data rolesMore general telecom data analysis roles

The main difference is that a Seasonal Telecom Data Analyst works temporarily during peak seasons, focusing on short-term projects, while a Telecom Data Analyst holds a permanent, year-round position. Both roles require similar skills and certifications, but their employment duration and scope differ.

What cities are hiring for Seasonal Telecom Data Analyst jobs? Cities with the most Seasonal 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 Seasonal Telecom Data Analyst jobs? States with the most job openings for Seasonal Telecom Data Analyst jobs include:
Seasonal Telecom Data Analyst jobs near you

Data Engineer

Omni Inclusive

Dallas, TX • On-site

$113K - $136K/yr

Other

Posted 8 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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