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Hourly Telecom Data Analyst Jobs in Lancaster, SC

Data Engineer - AWS OpenSearch

Fort Mill, SC ยท On-site

$100K - $120K/yr

... Management, Telecom, Hi-Tech, and Life Sciences. We are building Incedo 4.0 - an AI-native ... Design and maintain OpenSearch indexes, mappings, analyzers, and query performance. * Integrate ...

AWS Data Architect

Fort Mill, SC ยท 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 ...

... 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 ...

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 ...

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 ...

Power BI Intern

Rock Hill, SC ยท 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 ...

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 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 ...

ScrumMaster

Fort Mill, SC ยท 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 ...

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Showing results 1-20

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 29, 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.

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.

Data Engineer - AWS OpenSearch

Fort Mill, SC โ€ข On-site

Incedo Inc.
IT Servicesย โ€ขย 1 - 5K employees

$100K - $120K/yr

Other

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


Job description

Incedo Inc. is a high-growth Digital, Data and AI Transformation Specialist firm headquartered in New Jersey. We

are a long-term strategy execution partner for Fortune 500 enterprises, operating at the intersection of business

and technology across Banking & Payments, Wealth Management, Telecom, Hi-Tech, and Life Sciences.

We are building Incedo 4.0 - an AI-native, execution-focused, founder-led organization designed for scale, speed,

and long-term impact.

Incedo delivers ROI from AI @ Scale through the โ€œPower of 3โ€:

โ€ข Deep domain expertise

โ€ข AI & Data capabilities

โ€ข Engineering & Operations excellence.


Job Description::

We are seeking an experienced Data Engineer with strong expertise in AWS OpenSearch to design, develop, and maintain scalable data pipelines and search solutions. The ideal candidate will have hands-on experience with AWS data services, OpenSearch, Python, SQL, and cloud-native architectures to support analytics and real-time search capabilities.


Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using AWS services.
  • Build and optimize AWS OpenSearch clusters for indexing, search, and analytics.
  • Develop ETL/ELT pipelines using Python, SQL, and AWS services such as Glue, Lambda, and EMR.
  • Design and maintain OpenSearch indexes, mappings, analyzers, and query performance.
  • Integrate OpenSearch with upstream and downstream applications for real-time search and analytics.
  • Work with structured and semi-structured data from multiple data sources.
  • Optimize OpenSearch cluster performance, shard allocation, indexing, and query execution.
  • Implement Infrastructure as Code (Terraform or CloudFormation) for AWS resources.
  • Build monitoring and alerting using CloudWatch, Grafana, or Prometheus.
  • Collaborate with Data Scientists, Data Analysts, and application teams to support data and search requirements.
  • Implement security best practices, IAM policies, encryption, and access controls.
  • Troubleshoot production issues and optimize system performance.


Required Skills

  • 5+ years of experience as a Data Engineer.
  • Strong experience with AWS OpenSearch (formerly Amazon Elasticsearch Service).
  • Strong SQL and Python programming skills.
  • Experience with AWS services:
  • OpenSearch
  • S3
  • Glue
  • Lambda
  • IAM
  • CloudWatch
  • EC2
  • EMR
  • Step Functions
  • Kinesis (preferred)
  • Experience building ETL/ELT pipelines.
  • Experience with Docker and Kubernetes (preferred).
  • Knowledge of distributed search architecture, indexing strategies, and query optimization.
  • Experience with Git, CI/CD, and Infrastructure as Code (Terraform or CloudFormation).
  • Familiarity with Agile/Scrum methodologies.


Preferred Qualifications

  • Experience with Apache Spark or PySpark.
  • Experience with Kafka or Amazon MSK.
  • Experience with Snowflake, Redshift, or Databricks.
  • Experience working with large-scale distributed systems.
  • AWS Certification (Solutions Architect, Data Analytics, or Developer) is a plus.
  • Experience with observability tools such as Grafana, Prometheus, or Splunk.


Nice to Have

  • Vector search and semantic search using OpenSearch.
  • OpenSearch Dashboards/Kibana.
  • Machine Learning integrations with OpenSearch.
  • Experience with GenAI/RAG search architectures.
  • Healthcare, Financial Services, or Retail domain experience.


Primary Technologies: AWS OpenSearch, Python, SQL, AWS Glue, Lambda, S3, Terraform, Docker, Kubernetes, CloudWatch, Git, CI/CD, Spark/PySpark.