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Freelance 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 ...

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 ...

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 ...

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Freelance Telecom Data Analyst information

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How much do freelance telecom data analyst jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for freelance telecom data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

How much do freelance data analysts make?

Freelance telecom data analysts typically earn between $25 and $100 per hour, depending on experience, skills, and project complexity. Annual income varies widely based on workload, with experienced analysts earning higher rates for specialized data analysis, reporting, and use of tools like SQL and Excel. Many freelancers set their own rates and work on a project basis or hourly contracts.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a freelance telecom data analyst, such as data processing and basic analysis, but it does not fully replace the need for human expertise in interpreting complex data, making strategic decisions, and understanding industry-specific context. Data analysts who develop skills in machine learning tools and programming languages like Python or R can leverage AI to enhance their work. Human judgment remains essential for nuanced insights and client communication in the telecom data analysis field.

Is 40 too late to become a data scientist?

Becoming a data scientist at age 40 is feasible, especially for those with a background in related fields like telecom data analysis. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, and gaining practical experience. Age is less a barrier than the commitment to learning new tools and concepts in the field.

Is it possible to freelance as a data analyst?

Freelance telecom data analysts can work independently by offering data analysis services to clients, often using tools like Excel, SQL, or Python. Success in freelancing requires strong analytical skills, a portfolio of work, and the ability to manage client relationships and deadlines.
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What are the most commonly searched types of Telecom Data Analyst jobs? The most popular types of Telecom Data Analyst jobs are:
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Freelance Telecom Data Analyst jobs near you
Infographic showing various Freelance Telecom Data Analyst job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 38% Full Time, and 58% Part Time. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

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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