ZipRecruiter

Log In

1

Python Analytics Jobs in Atlanta, GA (NOW HIRING)

Infosys Limited Digital

Python AWS Developer

Atlanta, GA · On-site

$48.25 - $66.50/hr

... Analytics - Packages|Python - Big Data Technical Skills 2 Technology|Cloud Platform|AWS Core services Overview The Infosys Financial Services unit is a global leader in driving digital transformation ...

Home Depot

Manager Decision Analytics

Atlanta, GA · On-site

This Manager Decision Analytics position manages people and processes related to the development of ... Experience in SQL, SAS, Tableau, python and similar tools preferred Minimum Education: * The ...

US Bank

Credit Risk Python Architect

Atlanta, GA · On-site

$111K - $131K/yr

We are seeking a Python developer / solutions architect to drive forward our next-gen model ... Strong analytical, organizational, problem-solving, negotiation, and project management skills

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

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 ...

MM International

Google Analytics Architect

Atlanta, GA · On-site

Strong knowledge of SQL, Python, R, or other data analysis/programming languages. * Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure). * Experience with ...

previous pagenext page

Showing results 21-40

All JobsPython Analytics JobsPython Analytics Jobs in Atlanta, GA

Python Analytics information

See Atlanta, GA salary details

$12

$56

$82

How much do python analytics jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for python analytics in Atlanta, GA is $56.37, according to ZipRecruiter salary data. Most workers in this role earn between $46.44 and $64.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Analytics professional?

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
What are popular job titles related to Python Analytics jobs in Atlanta, GA? For Python Analytics jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Atlanta, GA look for? The top searched job categories for Python Analytics jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Python Analytics jobs? Cities near Atlanta, GA with the most Python Analytics job openings:
Python Analytics jobs near you
Infographic showing various Python Analytics job openings in Atlanta, GA as of June 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $117,257 per year, or $56.4 per hour.

Full Stack Developer (.NET + Python + Angular) With AI

MphasiS Corporation USA

Alpharetta, GA • On-site

$120K - $130K/yr

Other

Re-posted 9 days ago

Job description

Job Title: Full Stack Developer (.NET + Python + Angular) With AI

Location: GA Alpharetta

Experience: 5-7 years

Salary: $120K - $130K

Job Summary:

We are seeking a highly skilled Full Stack Developer with strong expertise in .NET and Python, and working knowledge of Angular. The ideal candidate should have experience in Banking and Wealth Management (WM) domains, contributing to scalable, high-performance applications.

Key Responsibilities:

  • Design, develop, and maintain applications using .NET (C# / .NET Core) and Python with AI/LLM
  • Build and integrate RESTful APIs and microservices / Fast API Services
  • Develop and enhance front-end components using Angular (good to have)
  • Work on data processing, automation, and backend services using Python
  • Collaborate with cross-functional teams (business, QA, DevOps)
  • Ensure code quality, security, and performance optimization
  • Participate in system design and architecture discussions and present design for applications.
  • Good hand on experience in Python with LLM Integrations and Agents developments.

Required Skills:

  • Strong hands-on experience with .NET Framework / .NET Core and C#
  • Solid expertise in Python development (scripting, APIs, data workflows)
  • Solid hands-on experience in Python & AI Agents implementations / LLM - Open AI Integrations
  • Experience in API development, microservices architecture
  • Proficiency in SQL / relational databases
  • Good understanding of SDLC, Agile methodologies and Spec Driven Development

Good to Have:

  • Experience with Angular (2+ versions)
  • Knowledge of cloud platforms (Azure/AWS/Google Cloud Platform) Private Cloud Deployment
  • Familiarity with CI/CD pipelines and DevOps practices

Domain Experience:

  • Banking and Wealth Management (WM) domain knowledge is preferred
  • Understanding of financial systems, transactions, and regulatory requirements

Soft Skills:

  • Strong analytical and problem-solving skills
  • Excellent communication and teamwork abilities

Apply