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Senior Python Data Analysis Jobs in Georgia (NOW HIRING)

ITTConnect

Python Developer (AWS cloud)

Atlanta, GA · On-site +1

$48.25 - $66.50/hr

ITTConnect is seeking a Senior Python Developer to work remotely for a client in the US. This is a ... Good Data Analytical skills - must be able to analyze data, look at data patterns, come out with ...

AT&T

Senior Data Analysis

Atlanta, GA · On-site

$118K - $178K/yr

The Sr. Data Analysis position applies established data rules, investigates issues, supports ... Experience with analytical or data tools such as Python to analyze data, validate outputs, and ...

CYNET SYSTEMS

Data QA Engineer

Alpharetta, GA · On-site

$70/hr

Proficiency in Python for scripting and automation in data QA. * Experience with data analysis using Excel and handling large datasets. * Knowledge of data validation and quality checks. * Experience ...

Compunnel

Senior Python RPA UI Path Developer

Alpharetta, GA · On-site

$118K - $159K/yr

... for data processing, file automation, reporting, and backend integrations. • Design, develop ... and analyze business requirements to identify automation opportunities. • Create and maintain ...

Harver

Senior Data Science Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Proficiency in both Python and R for data analysis (pandas, dplyr, data visualization libraries ... Collaborate with a senior team of data scientists and engineers * Contribute to cutting-edge work ...

Navtech, Inc.

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 ... analysis on large datasets. * 4+ years of experience with visualization software (Power BI or ...

Equifax

Data & Analytics Intern

Alpharetta, GA · On-site

... senior leaders and opportunities to network. The program is designed to support research and ... Experience or coursework in code development in SQL, Python, Hive, Impala, R What could set you ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Georgia? The most popular types of Python Data Analysis jobs in Georgia are:
What are popular job titles related to Senior Python Data Analysis jobs in Georgia? For Senior Python Data Analysis jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Georgia look for? The top searched job categories for Senior Python Data Analysis jobs in Georgia are:
Senior Python Data Analysis jobs near you

Senior Python Developer

PROLIM Global Corporation

Atlanta, GA • On-site

$116K - $157K/yr

Contractor

Posted 18 days ago

Job description

Location: Alpharetta, GA
Duration: 6 months
GBaMS ReqID: 10527471
Senior Python Developer - AI/ML Model SDKs
**(USCs + GC holders only)
• Senior Python Developer responsible for designing, building, and releasing high quality Python Model SDKs used by data scientists and ML engineers
• Develop SDKs that support seamless model training, experimentation, validation, and deployment across the AI/ML lifecycle
• Apply deep Python expertise and strong software engineering practices to build developer friendly libraries
• Design, develop, and maintain Python SDKs that simplify AI/ML model training, evaluation, and deployment workflows
• Build SDKs optimized for notebook based development in Jupyter, Colab, and VS Code
• Implement clean, modular, extensible APIs supporting multiple model types and frameworks
• Package and release SDKs using best practices in versioning, dependency management, and backward compatibility
• Ensure SDKs are production ready and support deployment, inference, monitoring hooks, and configuration management
• Collaborate with data scientists, ML engineers, and MLOps teams to translate requirements into SDK features
• Write comprehensive unit, integration, and contract tests
• Create and maintain developer documentation, examples, and notebooks
• Enforce software engineering best standards including code reviews, CI/CD, linting, and performance optimization
• Manage the end to end SDK lifecycle from design through release and maintenance
• 7+ years of professional Python development experience
• Strong experience building, maintaining, and distributing Python libraries or SDKs for developers
• Strong understanding of AI/ML workflows including training, validation, inference, and deployment
• Hands on experience designing APIs optimized for interactive notebook use
• Experience with Python packaging tools including setuptools, poetry, or pip
• Experience with semantic versioning and package distribution via PyPI or internal registries
• Strong knowledge of software design principles including SOLID and clean architecture
• Experience with testing frameworks such as pytest
• Familiarity with CI/CD and automated release processes
• Excellent communication and cross functional collaboration skills
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit learn, or XGBoost
• MLOps experience including model versioning, feature stores, registries, and monitoring
• Experience deploying models to AWS, GCP, or Azure
• Familiarity with Docker and Kubernetes
• Experience designing developer first APIs and SDK usability patterns
• Open source contributions or publicly released Python packages

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