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Hourly Telecom Data Analyst Jobs (NOW HIRING)

University of Rochester

$21.78 - $30.53/hr

Individual annual salaries/hourly rates will be set within the job's compensation range, and will ... Supports the development of methods for data collection, analysis, and reporting for assigned area.

HCL

Business Data Analyst

Bellevue, WA · On-site

... of a telecom customer. * Requirement elicitation: Facilitate meetings and workshops, create a ... Analytics reporting concepts eVars, Props, Processing Rules, Classifications, data layer, etc

Aquent

Data Analyst

Seattle, WA · On-site +1

$42 - $45/hr

Temporary Salary: $42-45 Hourly Start Date: Jun 22, 2026 We are seeking a prominent leader in its ... Oversee data integrations across various social media advertising platforms, site analytics tools ...

St. Louis County, MN

Data Analyst

Duluth, MN · On-site

$31.21 - $38.03/hr

Salary: $31.21 - $38.03 Hourly Location : Duluth, MN Job Type: Permanent, Full-Time Job Number: 26 ... Training and/or certification in crime analysis methods or data or statistical analysis methods and ...

BCforward

Data Analyst

Golden Valley, MN · On-site

Data Analyst Duration: 2 Months Location ... Golden Valley MN Hourly rate: $ 28.79/hr on w2 *** NEED SOMEONE TO START ASAP *** *** NO DEGREE ...

NCCI

Data Analyst

Boca Raton, FL · On-site

HOURLY JOB OVERVIEW: At NCCI, we're looking for a Data Analyst to join our team in performing analytical research to identify and resolve routine data issues impacting NCCI's data providers and ...

Eliassen Group

Data Analyst

Greenwood Village, CO · Remote

$60 - $70/hr

Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks experienced Data Analysts ... The pay range provided in this posting reflects a W2 hourly rate; other employment options may be ...

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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 Jul 14, 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 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.

Is 40 too late for data science?

For an hourly telecom data analyst, age is generally not a barrier to entering data science. Success depends on acquiring relevant skills such as programming, statistics, and data visualization, which can be developed at any age through training or certifications. Many professionals transition into data science later in their careers with the right education and experience.

How much do data analysts get paid per hour?

Hourly telecom data analysts typically earn between $20 and $40 per hour, depending on experience, location, and skill level. Entry-level positions may start lower, while experienced analysts with specialized skills or certifications can earn higher wages.

How much do data analysts charge per hour?

Hourly telecom data analysts typically charge between $25 and $75 per hour, depending on experience, location, and the complexity of the analysis. Senior analysts with specialized skills or certifications may charge higher rates, especially for short-term or consulting projects.

What is a telecom data analyst?

A telecom data analyst is a professional who collects, analyzes, and interprets data related to telecommunications networks and services. They use tools like SQL, Excel, and data visualization software to identify trends, improve network performance, and support business decisions in the telecom industry.

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.

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.
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Hourly Telecom Data Analyst jobs near you
Sales Data Analyst

Sales Data Analyst

Mobile Communications America Inc

Charlotte, NC • On-site

Full-time

Posted 29 days ago

Mobile Communications America rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

11th of 82 rated telecommunications companies

Job description

Mobile Communications America, Inc., a leader in wireless communications, data, and security solutions is seeking a data-driven Sales Data Analyst to join the Sales Strategy & Operations team within our Central Division. This position needs to be located within our footprint of Dallas, TX; Indianapolis, IN; Charlotte, NC; or Spartanburg, SC. This role turns sales data into decision-ready insight — building and improving the forecasting, pipeline, and performance analytics that guide how the business sells. The ideal candidate pairs strong quantitative and statistical skills with commercial fluency, and is comfortable working independently to translate complex data into clear, actionable recommendations for sales leadership.

KEY RESPONSIBILITIES:

Forecasting & Predictive Analytics

  • Measure and report forecast accuracy across teams, segments, and time horizons, identifying drivers of variance and recommending methodology improvements.
  • Develop, test, and maintain forecast weighting algorithms that translate pipeline stage, deal age, and historical conversion into reliable predictions.
  • Apply regression and other statistical methods to quoted and won/lost activity to surface the factors that most influence close rates and deal velocity.
  • Partner with sales leadership to refine forecasting methodology and strengthen commit and upside discipline.

Pipeline & Funnel Analytics

  • Assess funnel sufficiency against quota and coverage targets, flagging gaps in pipeline volume, velocity, or conversion early enough to act.
  • Analyze stage-to-stage conversion, sales cycle length, and win rates across divisions, segments, and reps to identify performance trends.
  • Quantify pipeline health and recommend where to focus pipeline-generation and deal-progression efforts.

Reporting & Visualization

  • Build and maintain Tableau dashboards, scorecards, and recurring reporting that give sales leaders a clear, current view of performance.
  • Translate analysis into concise, executive-ready narratives and visualizations that drive decisions rather than simply describe data.
  • Leverage automation and AI tools to streamline data preparation, reporting, and analysis — reducing manual effort, accelerating turnaround, and improving consistency.
  • Identify opportunities to apply AI and automation to recurring analytical and reporting workflows, and help bring those improvements into production.

Data Management & Cross-Functional Partnership

  • Source, validate, and reconcile sales data across CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) systems to ensure analyses rest on accurate, trusted data.
  • Partner with Sales Operations, Finance, and divisional leaders to align on definitions, metrics, and reporting standards.
  • Identify and resolve data quality issues, and recommend improvements to data capture and process.

WHAT YOU WILL BRING TO THE TEAM:

Education & Experience

  • Bachelor's degree in a quantitative or analytical field (Statistics, Economics, Finance, Data Analytics, Business, or related); equivalent experience considered.
  • Approximately 3 years of experience in sales, revenue, or business data analysis, including hands-on forecasting and pipeline analytics.
  • Demonstrated experience applying statistical methods such as regression to commercial or sales data.

Knowledge & Skills

  • Strong proficiency in Excel and SQL for data extraction, modeling, and analysis.
  • Proven experience building dashboards and reports in Tableau (primary tool); experience with other BI platforms a plus.
  • Working knowledge of sales forecasting methodologies, funnel and pipeline metrics, and sales performance KPIs.
  • Solid statistical foundation — regression, correlation, trend, and variance analysis — with the judgment to match the method to the question.
  • Familiarity with CRM (HubSpot, NetSuite) and ERP (NetSuite, Ormandy) data structures.
  • Demonstrated use of automation and AI tools (e.g., scripting, workflow automation, or AI-assisted analysis) to improve the speed, quality, or scale of analytical work.
  • Excellent communication skills, with the ability to translate technical analysis into clear recommendations for non-technical sales leaders.
  • Strong attention to detail, intellectual curiosity, and the ability to manage multiple priorities independently.
  • Experience in technology, telecom, or services/reseller environments preferred; exposure to Python or R a plus.

TRAVEL REQUIREMENTS:

Less than 10% travel.

DIRECT REPORTS:

No Direct Reports

WHO WE ARE:

Mobile Communications America, Inc. (MCA) provides wireless communication, data, and security solutions that enhance workplace safety, security, and efficiency nationwide. Customers trust us to provide a portfolio of turn-key systems, products, and services — including two-way radio communications, vehicle uplift, security video and access control systems, BDA/DAS, remote monitoring, GPS tracking, SCADA, dispatch, mass notification, and point-to-point wireless networks. Our more than 60,000 customers span industries such as public safety, commercial, manufacturing, education, healthcare, utilities, and government. In addition to being the largest Motorola partner in the U.S., MCA has strategic partnerships with over 1,000 major manufacturers to offer an extensive portfolio of products and technologies.

WHAT WE BELIEVE:

We are better together through the MCA Way: living our core values of Service First, Growth, Teamwork, and Safety. We take our work and customers seriously and believe our best work can be fun. A component of our business that embodies the MCA advantage is our “Service First DNA” culture. Service isn’t just a motto for MCA, it’s an integral part of who we are and goes beyond our customers to our employees, partners, shareholders, and communities.

NOTE: The above statements describe the general nature and level of work performed by the person assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties, skills, and physical demands required of personnel so classified. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Mobile Communications America, Inc. is proud to be an Equal Opportunity workplace and is an Affirmative Action employer. We are committed to creating an inclusive environment that celebrates diversity. At MCA, we are “better together.”


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