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Hourly Telecom Data Analyst Jobs (NOW HIRING)

AppleOne

Data Analyst

San Juan, PR · On-site

$75K/yr

Data Scientist We are seeking a highly analytical and detail-oriented CVM Data Scientist to support ... Essential Duties Responsibilities Analyze large and complex telecom customer and network datasets ...

New

Zayo

Data Analytics Engineer

Denver, CO · Remote

$77.10K - $118.60K/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 ...

Apex 2000

SS - AI ML DATA ARCHITECT ROLE

Jersey City, NJ · Hybrid

$66.50 - $85.50/hr

Apply deep understanding of telecom KPIs, network layers, subscriber data, and operational workflows. Enable AI use cases including: Network anomaly detection & rootcause analysis Intelligent NOC and ...

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

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 ...

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 ...

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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 May 30, 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 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.

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.

More about Hourly Telecom Data Analyst jobs
What cities are hiring for Hourly Telecom Data Analyst jobs? Cities with the most Hourly 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 Hourly Telecom Data Analyst jobs? States with the most job openings for Hourly Telecom Data Analyst jobs include:
What job categories do people searching Hourly Telecom Data Analyst jobs look for? The top searched job categories for Hourly Telecom Data Analyst jobs are:
Hourly Telecom Data Analyst jobs near you
Infographic showing various Hourly Telecom Data Analyst job openings in the United States as of May 2026, with employment types broken down into 65% Full Time, 27% Part Time, and 8% Contract. Highlights an 33% Physical, 17% Hybrid, and 50% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

AppleOne

San Juan, PR • On-site

$75K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Scientist We are seeking a highly analytical and detail-oriented CVM Data Scientist to support customer analytics initiatives through advanced data analysis, predictive modeling, and data-driven decision-making. This role requires strong SQL expertise, algorithmic thinking, and experience working with large-scale datasets in a fast-paced environment. The ideal candidate will help drive customer retention, revenue growth, and customer experience improvements through actionable insights and machine learning solutions. Essential Duties Responsibilities Analyze large and complex telecom customer and network datasets to identify usage patterns, customer behavior trends, and business opportunities. Develop and implement algorithms for customer segmentation, churn prediction, behavioral analysis, and customer value optimization. Write efficient and complex SQL queries to extract, transform, and analyze high-volume data from telecom data warehouses. Build, validate, and maintain statistical and machine learning models supporting initiatives such as churn reduction, ARPU optimization, and customer lifetime value analysis. Collaborate with marketing, network, product, and business teams to translate analytical findings into actionable recommendations. Design dashboards, reports, and visualizations to effectively communicate insights to technical and non-technical stakeholders. Ensure data quality, integrity, consistency, and governance across multiple data sources including billing systems, CRM platforms, and network usage databases. Continuously improve analytical methodologies, predictive models, and reporting processes to adapt to evolving customer behaviors and market trends. Support additional projects and responsibilities as assigned. Qualifications Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field. Strong proficiency in SQL and experience working with large relational databases. Experience with statistical analysis, predictive modeling, and machine learning techniques. Knowledge of programming languages such as Python or R for data analysis and modeling. Experience with data visualization and reporting tools such as Power BI, Tableau, or similar platforms. Strong analytical thinking and problem-solving skills. Ability to communicate complex technical findings to business stakeholders. Telecom industry experience is highly preferred.


Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, the Company is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AppleOne participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
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Company Description

This company offers growth and a great group of people to work with.
AppleOne logo

About AppleOne

Sourced by ZipRecruiter

AppleOne is a renowned staffing service based in Glendale, California, USA. Positioned in the Human Resources industry, the company offers extensive staffing and recruiting solutions, such as temporary, full-time, and part-time placement, to companies across diverse industry sectors. The company was established by Bernie Howroyd in 1964, launching the business to aid others in finding excellent jobs and companies in finding excellent people.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Glendale, CA, US

Year founded

1964

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