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Python Data Analyst Jobs in Georgia (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

Strong programming skills in Python or Java. Experience with Snowflake is a plus. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Good ...

The Data Analyst is crucial in empowering Atlanta Mission's strategic decisions and designs across ... Familiarity with statistical analysis concepts; experience with Python or R is a plus.

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

SQL and Python are required. * Be proficient in using SQL to extract/transform data from various systems and in performing analysis on large datasets. * 4+ years of experience with visualization ...

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Ability to program in Python and/or Databricks * Experience with digital marketing analytics tools ...

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Ability to program in Python and/or Databricks * Experience with digital marketing analytics tools ...

SunPower is looking for a Data Analyst to join its Energy Analytics team and assist with ... Proficiency with Python or a similar language is a plus but not required * Experience building ...

Sr. Data Analyst

Alpharetta, GA · On-site

$84K - $105K/yr

The Senior Data Analytics Consultant will play a pivotal role in driving data-driven conversations ... Experience working in multiple languages including, JavaScript, Python, and SQL * Experience using ...

Business & Data Analyst Location : Atlanta, GA Duration : Fulltime Client : NCR Corporation Rate ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

Use SQL, Python, and related tools to perform data exploration, validation, and reconciliation ... Partner with Analytics Engineering teams to ensure reporting is built on trusted, scalable, and ...

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Python Data Analyst information

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$28.7K

$69.8K

$114.8K

How much do python data analyst jobs pay per year?

As of Jul 9, 2026, the average yearly pay for python data analyst in Georgia is $69,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,800.00 and $81,900.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.
What are the most commonly searched types of Python Data Analyst jobs in Georgia? The most popular types of Python Data Analyst jobs in Georgia are:
What job categories do people searching Python Data Analyst jobs in Georgia look for? The top searched job categories for Python Data Analyst jobs in Georgia are:
What cities in Georgia are hiring for Python Data Analyst jobs? Cities in Georgia with the most Python Data Analyst job openings:
Data Analyst

Full-time

Re-posted 10 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 – 25 million children twice a day – 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 Bird’s complete product and service portfolio, visit 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.

JOB SUMMARY:

Reporting to the Vice President, IT, this role will be responsible for providing, developing and implementing Blue Bird’s data strategy with the purpose of delivering the right data, to the right people at the right time. 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 and implement 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
  • Acquire 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 to prioritize 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

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:

  • Bachelor’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

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. They represent typical elements and criteria necessary to successfully perform the job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

Blue Bird® 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. 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.

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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