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Python Data Analyst Jobs in Georgia (NOW HIRING)

Hands-on experience in data aggregation and analysis using Python, SQL or similar * Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is ...

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 ...

Analyze large and complex datasets using tools such as Python, R, and SQL * Create clear and compelling visualizations using Matplotlib, Seaborn, Tableau , or similar tools * Present data insights ...

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

CDCE Data Analyst

Atlanta, GA · On-site

$52.37 - $65.06/hr

And more Overview The CDCE Data Analyst at Emory Healthcare provides strategic and operational ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

A Data Analyst leverages technical abilities to synthesize complex analytical tasks into easily ... VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building reports/analyses with analytical ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Data Analyst II

Atlanta, GA

$32.16 - $39.95/hr

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Experience with Python, R, or statistical analysis tools * Knowledge of cloud platforms such as AWS ... Data Governance * Business Intelligence Soft Skills: * Strategic thinking * Stakeholder ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Data Engineer II

Atlanta, GA · On-site

$110K - $132K/yr

About This Role The Data & Analytics team consists of data analysts, data engineers and analytics ... This will include writing and maintaining code in Python and SQL, developing on AWS, and selecting ...

Senior Principal Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Advanced experience with SQL and Python for data analysis - strong need for product analytics experience in a B2B environment. * Some Power BI experience is preferred. * Strong quantitative ...

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Python Data Analyst information

See Georgia salary details

$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 at Atlanta, GA

Data Analyst at Atlanta, GA

PSRTEK

Atlanta, GA • On-site

Other

Re-posted 28 days ago


Job description

Position: Data Analyst

Experience: - 8+ Years experience

Location: - Atlanta, GA

Job Description

  • Qualifications -
    • Experience working as a data analyst, preferably within pharmaceutical, healthcare or life sciences domain
    • Understanding of healthcare data such as claims data, sales data, pharmacy sales data etc.
    • Hands-on experience in data aggregation and analysis using Python, SQL or similar
    • Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is preferred
    • Experience working with data visualization tools such as Power BI or Tableau
    • Excellent problem solving skills
    • Strong communication skills and ability to give client demos. This will be a client facing role.
    • Ability to understand client requirements and translate functional requirements to technical specifications
    • Familiarity with cloud-based platforms