ZipRecruiter

Log In

1

Hourly Telecom Data Analyst Jobs in Lancaster, SC

Incedo Inc

AWS Data Architect

Fort Mill, SC · On-site

$56 - $72/hr

... Management, Telecom, Hi-Tech, and Life Sciences drive business outcomes through Data, AI ... AWS Solutions Architect Professional and/or AWS Data Analytics Specialty * Snowflake and/or ...

Saxon Global

Qlikview Analyst

Fort Mill, SC · On-site

... Telecom, Healthcare, Banking and Media Entertainment for their continued growth. Job Title ... Tableau, SQL and semantic data access mechanisms. Experience in driving analytics-enabled business ...

Saxon Global

.Net Developer _Inperson

Fort Mill, SC · On-site

... Telecom, Healthcare, Banking and Media Entertainment for their continued growth. Job Title ... analysts and business users to gather and interpret business requirements for data transfers ...

ABS Kids

Student Analyst ($1,000 Bonus)

Monroe, NC

$18.50 - $24/hr

LAUNCH career path milestones with bonuses, hourly increases and promotion eligibility ... Collect and record data on client behavior and progress * Provide one-on-one support to clients ...

ABS Kids

Student Analyst ($1,000 Bonus)

Monroe, NC

$18.50 - $24/hr

LAUNCH career path milestones with bonuses, hourly increases and promotion eligibility ... Collect and record data on client behavior and progress * Provide one-on-one support to clients ...

Reli Group Inc

Power BI Intern

Rock Hill, SC · On-site

$15/hr

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... The hourly rate for this position is $15 per hour. Actual compensation will depend on a range of ...

Saxon Global

Senior .NET Developer

Fort Mill, SC · On-site

$110/hr

Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud and provides IT tools ... Telecom, Healthcare, Banking and Media Entertainment for their continued growth. Job Title: .NET ...

Saxon Global

ScrumMaster

Fort Mill, SC · On-site

$45.25 - $60.50/hr

... Telecom, Healthcare, Banking and Media Entertainment for their continued growth. Job Title: Scrum ... Data driven analysis skills for measuring and managing delivery Experience with relevant business ...

Saxon Global

IT Project Manager

Fort Mill, SC · On-site

$86K - $102K/yr

Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud and provides IT tools ... Good analytical and problem solving skills Good mathematical skills Excellent organizational skills ...

next page

Showing results 1-20

All JobsHourly Telecom Data Analyst JobsHourly Telecom Data Analyst Jobs in Lancaster, SC

Hourly Telecom Data Analyst information

See Lancaster, SC salary details

$29K

$70.5K

$116K

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

As of Aug 24, 2026, the average yearly pay for hourly telecom data analyst in Lancaster, SC is $70,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $82,700.00 per year, depending on experience, location, and employer.

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 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 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.

Hourly Telecom Data Analyst jobs near you
Infographic showing various Hourly Telecom Data Analyst job openings in Lancaster, SC as of July 2026, with employment types broken down into 81% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $70,481 per year, or $33.9 per hour.

AWS Data Architect

Incedo Inc

Fort Mill, SC • On-site

$56 - $72/hr

Other

Posted 5 days ago

Job description

AWS Data Architect | Wealth Management

New York, NY / Fort Mill, SC (Hybrid)
Full-Time | 14 19 Years Experience

About Incedo

Incedo is a fast-growing Digital, Data & AI transformation company helping Fortune 500 clients across Banking, Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences drive business outcomes through Data, AI, Engineering, and Operations excellence.

Role Summary

We are looking for a hands-on AWS Data Architect to design, build, and scale enterprise data platforms for a leading Wealth Management client. This role requires strong architecture ownership combined with hands-on development of modern AWS-based data ecosystems, real-time pipelines, and governed data platforms.

Key Responsibilities
  • Design and build AWS data lakes, lakehouses, and enterprise data warehouses
  • Develop batch and real-time data pipelines using AWS native services
  • Architect and optimize large-scale ETL/ELT frameworks using Python, PySpark, and SQL
  • Implement CDC and streaming architectures using Kafka/MSK, Kinesis, and event-driven patterns
  • Lead data modeling initiatives (dimensional, OLTP, OLAP)
  • Drive performance tuning for Spark, Redshift, and distributed workloads
  • Implement governance, lineage, security, and compliance standards for regulated financial data
  • Build CI/CD pipelines and Infrastructure as Code using Terraform/CloudFormation
  • Provide technical leadership and mentor engineering teams
Required Skills
  • 14 19 years in Data Engineering / Data Architecture
  • 6+ years of AWS Data Architecture experience
  • Strong hands-on experience with:
    • AWS Glue, EMR, Lambda
    • S3, Redshift, Aurora/RDS
    • Kinesis, MSK (Kafka)
    • Athena, Redshift Spectrum
    • Step Functions, Airflow (MWAA)
    • Lake Formation, IAM, KMS
  • Advanced Python, PySpark, SQL
  • Strong experience with:
    • Spark and distributed processing
    • Real-time & streaming architectures
    • CDC frameworks
    • Data warehousing & dimensional modeling
    • CI/CD & DevOps practices
Preferred Skills
  • AWS Solutions Architect Professional and/or AWS Data Analytics Specialty
  • Snowflake and/or Databricks
  • Delta Lake, Iceberg, Hudi, Lakehouse architectures
  • Collibra, Alation, Glue Catalog, Great Expectations, Deequ
  • Wealth Management, Banking, Capital Markets, AML/KYC, Risk & Compliance experience
Ideal Candidate

Architects and codes hands-on
Deep AWS data platform expertise
Strong PySpark, Streaming, and Lakehouse experience
Experience handling regulated financial data (PII/PCI)
Can lead architecture decisions while remaining deeply technical

Apply

;br /> ;/p>

Skills: AWS Glue, EMR, PySpark, Kafka/MSK, Kinesis, Redshift, Snowflake, Delta Lake, Iceberg, Data Modeling, CDC, Wealth Management

Apply