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Entry Level Data Analyst R Programming Jobs in Georgia

The Solutions Data Analyst supports this mission by preparing, analyzing, and validating data used ... Collaborate with Product and Engineering to investigate technical issues and provide structured ...

Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate data accuracy and ensure integrity of datasets * Analyze ...

Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate data accuracy and ensure integrity of datasets * Analyze ...

Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate data accuracy and ensure integrity of datasets * Analyze ...

Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources * Validate data accuracy and ensure integrity of datasets * Analyze ...

We are hiring a Data Analyst/Developer to join our team. Your main tasks will include: Troubleshooting data variances and failures, identify the root cause of issues and provide solutions to correct ...

The role requires strong SQL and data analysis skills, along with experience working with ETL technologies such as Talend and Informatica. · The candidate will work closely with Data Engineers, ETL ...

Showing results 41-60

Entry Level Data Analyst R Programming information

What is an entry level data analyst r programming?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What skills and qualifications are needed to thrive as an entry level data analyst r programming?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What are the most commonly searched types of Data Analyst R Programming jobs in Georgia?

The most popular types of Data Analyst R Programming jobs in Georgia are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Georgia?

For Entry Level Data Analyst R Programming jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Georgia look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Georgia are:

What cities in Georgia are hiring for Entry Level Data Analyst R Programming jobs?

Cities in Georgia with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in Georgia as of September 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution.

Technical Data Analyst

Atlanta, GA • On-site

Computer Task Group, Inc
Professional, Scientific, and Technical Services • 1 - 5K employees

Full-time

Posted 5 days ago


Job description

Overview

CTG is seeking to fill a Technical Data Analyst position for our client.

Location: Atlanta, GA / Charlotte, NC / Raleigh, NC — No Remote
Duration: Ongoing Contract

Duties:
  • Analyze SAS programs, macros, datasets, and business logic to support migration and modernization to Snowflake.

  • Develop and maintain Source-to-Target Mapping (STM/MapDocs), transformation logic, data lineage, and business rules.

  • Perform data profiling, data quality analysis, validation, reconciliation, and root-cause analysis.

  • Develop complex SQL, including advanced CTEs, for data analysis and validation.

  • Analyze Snowflake schemas, tables, views, data models, and database objects.

  • Analyze ETL workflows using Talend and Informatica and support ETL testing and deployment validation.

  • Validate data across source, staging, integration, Snowflake, and reporting layers.

  • Support data migration, data warehousing, reporting, analytics, and data modernization initiatives.

  • Develop or support Power BI/Tableau reports and dashboards.

  • Monitor data pipelines and support SLA/OLA reporting and performance tracking.

  • Collaborate with Data Engineers, ETL Developers, Architects, Business Analysts, and stakeholders.

  • Support SIT, UAT, production releases, post-deployment validation, and issue resolution.

  • Maintain data governance, metadata, technical documentation, data lineage, and data quality standards.

Skills:
  • SAS code analysis and conversion/migration to Snowflake

  • Snowflake Data Warehouse

  • SQL and Advanced CTEs

  • Data Analysis, Data Profiling, Data Validation & Reconciliation

  • Source-to-Target Mapping (STMs/MapDocs)

  • Data Lineage, Data Governance & Data Quality

  • Data Migration & Modernization

  • ETL: Talend, Informatica

  • Hive Query Development

  • Data Modeling & Database Object Management

  • Unix/Linux and Python

  • Power BI/Tableau

  • Reporting & Analytics

  • Performance Optimization

  • Dev/Test/QA Deployment Processes

  • Machine Learning Pipeline Enablement and SageMaker Integration

  • Agile/Scrum

Experience:
  • Experience analyzing complex SAS code, datasets, macros, and data transformation logic.

  • Experience with Snowflake, SQL, data warehousing, ETL, data migration, and data validation.

  • Experience creating Source-to-Target Mapping and data lineage documentation.

  • Experience with data profiling, reconciliation, data quality, and governance.

  • Experience working with ETL tools such as Talend or Informatica.

  • Experience supporting data integration, testing, production releases, and Agile/Scrum environments.

Education:

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field preferred.

Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role.

To Apply:

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!


Computer Task Group logo

About Computer Task Group

Sourced by ZipRecruiter

We know that achieving our mission begins and ends with our people—and by people we mean you. Regardless of individual roles or responsibilities, regardless of industry or subject matter expertise, our lives happen in relation to other people—our colleagues, clients, and partners. CTG cultivates a workplace that attracts and develops the best people. Being Great Place to Work-CertifiedTM not only supports our Vision but also validates the rewarding workplace culture that has made CTG a leading IT and digital solutions and services company for more than 55 years.

Industry

Professional, scientific, and technical services

Company size

1,001 - 5,000 Employees

Headquarters location

Buffalo, NY, US

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