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Data Analyst Data Science Jobs in Georgia (NOW HIRING)

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with demonstrated ability to conduct both ...

The Data Science Manager is responsible for leading a team of data scientists (individual ... Ensure best practices and vision for data analysis and model productionalization are leveraged ...

This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production.

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with demonstrated ability to conduct both ...

This position involves analyzing large-scale IoT data from water meters, building predictive models, and collaborating with cross-functional teams to deploy data science solutions into production.

Business management, computer science, or any related discipline will be Plus 5+ years of data and business analysis experience in a fast paced, dynamic environment Ability to effectively interact ...

Bachelor's degree in Statistics, Mathematics, Economics, Data Science, or a related field from an ... Strong analytical and critical-thinking skills with demonstrated ability to conduct both ...

Business management, computer science, or any related discipline will be Plus 2- 5 years of data and business analysis experience in a fast paced environment is required Ability to effectively ...

Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives. * Advanced Analytics & Insights: Provide deep ...

Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals.

Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 years minimum experience Knowledge, skills, and abilities (required): * SQL, SAS, Python, Excel ...

Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 years minimum experience Knowledge, skills, and abilities (required): * SQL, SAS, Python, Excel ...

CDCE Data Analyst

Atlanta, GA · Remote

$52.37 - $65.06/hr

Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 years minimum experience Knowledge, skills, and abilities (required): * SQL, SAS, Python, Excel ...

Education - Bachelor's degree in Computer Sciences, HIM, Data analytics, * Nursing Experience - 4 years minimum experience Knowledge, skills, and abilities (required): * SQL, SAS, Python, Excel ...

Data Analyst

Sandy Springs, GA · Remote

$70K - $80K/yr

About this Role The Data Analyst at Ampacity is a technology-focused role responsible for building trusted reporting, analytics, and data assets that support multiple business functions. This ...

Bachelor's degree in information systems, Data Science, or related discipline. * Possesses at least 5 years of experience in data analysis and reporting. * At least 2 years working with an Enterprise ...

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Data Analyst Data Science information

See Georgia salary details

$13

$36

$62

How much do data analyst data science jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for data analyst data science in Georgia is $36.55, according to ZipRecruiter salary data. Most workers in this role earn between $26.35 and $44.33 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What job categories do people searching Data Analyst Data Science jobs in Georgia look for? The top searched job categories for Data Analyst Data Science jobs in Georgia are:
What cities in Georgia are hiring for Data Analyst Data Science jobs? Cities in Georgia with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 72% Full Time, 20% Part Time, and 7% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $76,019 per year, or $36.5 per hour.
Data Scientist I- Public Health

Data Scientist I- Public Health

Cherokee Federal

Atlanta, GA

$90K - $105K/yr

Other

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Job Description
Bioinformatics Support I - Data Science & Informatics
A government contract requires that this position be restricted to provide documentation that you are a U.S. citizen or legal permanent resident to qualify.
*** An active NACI clearance or the ability to obtain a NACI clearance is required for consideration. ***
The Bioinformatics Support I - Data Science & Informatics role provides analytical and technical support for public health surveillance, data engineering, and advanced analytics initiatives within CDC's Division of Global Migration Health (DGMH).
This role focuses on building and maintaining data pipelines, performing large-scale data analysis, and supporting the development of statistical models and dashboards that inform operational decision-making. The ideal candidate is comfortable working with complex datasets, developing reproducible workflows, and translating data into actionable insights in a fast-paced public health environment.
Compensation & Benefits:
Estimated Starting Salary Range for Bioinformatics Support I - Data Science & Informatics: $90,000- $105,000
Pay commensurate with experience.
Full-time benefits include Medical, Dental, Vision, 401K, and other possible benefits as provided. Benefits are subject to change with or without notice.
Bioinformatics Support I - Data Science & Informatics Responsibilities Include:
Design, build, and maintain data pipelines to ingest, transform, and validate large datasets supporting public health surveillance efforts
Analyze complex datasets to identify trends, anomalies, and actionable insights that inform program operations and decision-making
Develop and support statistical analyses, basic modeling, and data-driven reporting to support monitoring and forecasting activities
Clean, standardize, and validate data to ensure accuracy, consistency, and usability across systems and reporting outputs
Create dashboards, visualizations, and reports to communicate findings to both technical and non-technical stakeholders
Document data processes, workflows, and standard operating procedures to support reproducibility and data governance
Integrate data from multiple internal systems and external partners, ensuring alignment with program needs
Automate routine data processing and reporting tasks to improve efficiency and reduce manual effort
Collaborate with cross-functional teams, including epidemiologists, bioinformaticians, and program staff to support analytics and data initiatives
Participate in meetings, briefings, and stakeholder engagements to support program coordination and data interpretation
Bioinformatics Support I - Data Science & Informatics Experience, Education, Skills, Abilities requested:
Master's degree in Data Science, Bioinformatics, Statistics, Computer Science, Epidemiology, or related quantitative field
Strong experience working with large datasets and complex data structures
Proficiency in:
  • Python (preferred), R, or similar programming languages
  • SQL and database querying
  • Data processing frameworks (e.g., PySpark)

Experience building and maintaining data pipelines and reproducible workflows
Knowledge of statistical modeling, machine learning, or advanced analytics techniques
Strong problem-solving and analytical skills
Ability to manage multiple priorities and deadlines in a fast-paced environment
Strong written and verbal communication skills
Advanced proficiency in Microsoft Office (Outlook, Word, Excel, PowerPoint)
Must pass the pre-employment qualifications of Cherokee Federal
Preferred Qualifications:
Experience with public health surveillance systems or datasets
Experience with platforms such as Palantir Foundry or CDC 1CDP
Experience developing dashboards or data visualization tools (Tableau, Power BI, or similar)
Familiarity with data governance, security, and compliance in federal environments
Experience integrating data from multiple sources and partners
Exposure to time-series analysis, forecasting, or anomaly detection
Company Information:
Cherokee Nation Integrated Health (CNIH) is a part of Cherokee Federal - the division of tribally owned federal contracting companies owned by Cherokee Nation Businesses. As a trusted partner for more than 60 federal clients, Cherokee Federal LLCs are focused on building a brighter future, solving complex challenges, and serving the government's mission with compassion and heart. To learn more about CNIH, visit cherokee-federal.com.
#LI-SH1
Cherokee Federal is a military-friendly employer. Veterans and active military transitioning to civilian status are encouraged to apply.
Similar Searchable Job Titles:
Data Scientist (Public Health)
Data Engineer
Bioinformatics Analyst I
Public Health Data Analyst
Analytics Engineer
Keywords:
Data Science
Data Engineering
Python
SQL
Machine Learning
Legal Disclaimer: All qualified applicants will receive consideration for employment without regard to protected veteran status, disability or any other status protected under applicable federal, state or local law.
Many of our job openings require access to government buildings or military installations.

Cherokee Federal logo

About Cherokee Federal

Sourced by ZipRecruiter

Cherokee Federal - a division of Cherokee Nation Businesses - is a team of tribally owned federal contracting companies focused on building solutions, solving complex challenges, and serving the nation's mission around the globe for more than 60 federal clients. Our team of companies manages nearly 1,000 projects of all sizes across the construction, consulting, engineering and manufacturing, health, and technology portfolios. Since 2012, the Cherokee Federal team of companies has won more than $5 billion in government contracts. Our 3,000+ employees work in 26 countries, 50 states and 2 U.S. territories. Why choose Cherokee Federal? Visit our website and learn about the great reasons to join our team. cherokee-federal.com

Industry

Architectural services

Company size

1,001 - 5,000 Employees

Headquarters location

Tulsa, OK, US

Year founded

1969

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