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Data Analyst Data Science Jobs in Georgia (NOW HIRING)

Data Analyst

Macon, GA ยท On-site

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

Data Analyst

Macon, GA ยท On-site

At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession * All candidates must be a U.S. citizen or permanent resident WE VALUE * Ability to anticipate and ...

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

They are seeking a Data Science Analyst who can interpret data to drive decision-making and ensure clients derive measurable business value from their data. Responsibilities : โ€ข Support discovery ...

We are looking for a Data Science Analyst who can not just report on performance, but also interpret data to drive decision-making to ensure our clients turn raw data into measurable business value.

Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics) * Proven experience in data analysis and visualization, with a strong focus on Power BI * Strong knowledge of ...

New

Bachelor's degree in a relevant field (e.g., Data Science, Computer Science, Statistics) * Proven experience in data analysis and visualization, with a strong focus on Power BI * Strong knowledge of ...

New

Data Analyst

Warner Robins, GA ยท On-site

$80K - $90K/yr

Role requires data analyst experience, no certifications required but familiar with MAJCOM staff ... Bachelor's degree in a quantitative, technical, or business-related field (e.g., Computer Science ...

Data Analyst

Warner Robins, GA ยท Hybrid

$80K - $90K/yr

Role requires data analyst experience, no certifications required but familiar with MAJCOM staff ... Bachelor's degree in a quantitative, technical, or business-related field (e.g., Computer Science ...

Data Analyst

Warner Robins, GA ยท Hybrid

$80K - $90K/yr

Role requires data analyst experience, no certifications required but familiar with MAJCOM staff ... Bachelor's degree in a quantitative, technical, or business-related field (e.g., Computer Science ...

KPMG is currently seeking a Manager, Data Science to join our Consulting practice. Responsibilities ... Translate advanced business analytics problems into technical approaches that yield actionable ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Duluth, GA ยท Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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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 12, 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 Analyst

Data Analyst

Blue Bird

Macon, GA โ€ข On-site

Full-time

Posted 12 days ago


Job description

Blue Bird (NASDAQ: BLBD) is recognized as a technology leader and innovator of school buses since its founding in 1927. Our dedicated team members design, engineer and manufacture school buses with a singular focus on safety, reliability, and durability. School buses carry the most precious cargo in the world โ€“ 25 million children twice a day โ€“ making them the most trusted mode of student transportation. The company is the proven leader in low- and zero-emission school buses with more than 25,000 propane, natural gas, and electric powered buses sold. Blue Bird is transforming the student transportation industry through cleaner energy solutions. For more information on Blue Birdโ€™s complete product and service portfolio, visitย www.blue-bird.com.

We are pleased to share that we have a career opportunity for a Data Analyst position supporting the IT team as a strategic part of the digital transformation to deliver the right information, to the right people at the right time.ย  ย ย 

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JOB SUMMARY:

Reporting to the Vice President, IT, this role will be responsible for providing, developing and implementing Blue Birdโ€™s data strategy with the purpose of delivering the right data, to the right people at the right time. ย ย The ideal candidate will be interpreting and analyzing complex datasets to provide insights and support data-driven decision making within Blue Bird. This role will work alongside IT business analysts and business executives to gather and transform data, conduct statistical analyses, and create visualizations and reports that will contribute to identifying trends, patterns, and opportunities that drive business initiatives.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Interprets results using a variety of techniques, ranging from simple data aggregation to more complex statistical analysis
  • Develop andย implementย databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Collaborate with data engineers and IT professionals to optimize data collection, storage, and retrieval processes
  • Acquireย data from primary or secondary data sources and maintain databases/data systems
  • Uses statistical methods and techniques to identify patterns, trends, correlations, and anomalies, and extract meaningful insights
  • Completes the gathering and cleaning processes for data from various sources, ensuring data integrity and quality
  • Monitors data quality to identify data issues and propose data cleansing or enhancement solutions
  • Work with management toย prioritizeย business and information needs
  • Locate and define new process improvement opportunities
  • Develops and maintains dashboards, reports, and visualizations to communicate data findings effectively
  • Identifies KPIs and develops metrics to track and measure business performance
  • Stay updated with industry trends and best practices in data analysis, visualization, and reporting
  • Perform all other duties as assigned by management, within scope of practice

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KNOWLEDGE, SKILLS AND ABILITIES FOR SUCCESS:

  • Knowledge of statistical analysis techniques and concepts for both descriptive and inferential statistics
  • Knowledge of data visualization best practices to effectively communicate insight
  • Strong analytical and problem-solving skills to interpret complex datasets and generate meaningful insights
  • Familiarity with data modeling and data warehousing concepts
  • Strong skills developing in and managing PowerBI
  • Ability to communicate complex analytical topics to multiple stakeholders in a clean and simple manner to address current and future business challenges
  • Ability to work with large datasets through data cleaning, preprocessing, and transformation techniques
  • Ability to drive and complete projects/initiatives successfully amongst different stakeholders within the company
  • Ability to manage diverse assignments while simultaneously working within a deadline driven environment
  • Attention to detail and ability to maintain data accuracy and integrity
  • Proven project experience with programming languages such as SQL, Python, and R for data manipulation and analysis
  • Proven project experience with data analysis and visualization tools such as Tableau, Power BI, and Excel

BASIC EDUCATION AND EXPEREINCE REQUIRED:

  • Bachelorโ€™s degree in Information Management, Business Administration, Data Science, Mathematics, Computer Science or other related analytical field; or equivalent experience required
  • At least 2 years of experience as a data analyst, data scientist, BI analyst, or related profession
  • All candidates must be a U.S. citizen or permanent resident

ย 

WE VALUE

  • Ability to anticipate and understand customer needs and provide guidance
  • Excellent interpersonal and customer relationship skills
  • Self-motivation and ability to exercise independent judgement and take action on it.
  • Ability to effectively prioritize and execute tasks in a fast-paced environment.
  • Strong project management skills. Exposure to difficult or complex projects a plus.
  • Ability to influence stakeholders
  • Effective communication and ability to communicate complex details in a clear manner.
  • Working in a collaborative team and balancing the needs of individual stakeholders while delivering corporate objectives.

INCLUDES

  • Continued Professional Development

*The specific statements shown in each section of this description are not intended to be all-inclusive.ย  They represent typical elements and criteria necessary to successfully perform the job.ย  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

ย 

Blue Birdยฎ is an equal opportunity employer and makes employment decisions on the basis of merit. We strive to have the best available talent in every job based on the Knowledge, Skills and Abilities each person brings.ย  Blue Bird is committed to compliance with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in Company operations and prohibits unlawful discrimination in all forms.

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All candidates must be a U.S. citizen or permanent resident. Candidates must be authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire.

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