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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 ...

United Airlines

GCP Python Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of ...

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 ...

OneTrust

Senior Principal Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

The Challenge As a Senior Principal Data Analyst at One Trust, you will play a strategic role in ... Advanced experience with SQL and Python for data analysis - strong need for product analytics ...

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 ...

Mediavine

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 ...

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
Sr. Python Application Developer

Sr. Python Application Developer

Brightwing

Atlanta, GA

$39 - $44/hr

Other

Posted 10 days ago

Job description

Job Description Title: Sr. Python Application Developer Location: Atlanta, GA Workplace Type: On-Site We are seeking a highly experienced Senior Python Application Developer to design, develop, and maintain scalable backend systems and APIs. The ideal candidate will have strong expertise in Python and Django, with hands-on experience building high-performance GraphQL APIs and optimizing data interactions using PostgreSQL.

You will collaborate closely with frontend developers, DevOps teams, and product stakeholders to deliver robust, scalable applications in a cloud-native environment. Experience with modern frontend frameworks such as React and messaging systems is a plus. Technologies: Python, Django, GraphQL, SQL, React Key Responsibilities Design, develop, and maintain backend services using Python and Django Build and optimize GraphQL APIs for performance, scalability, and usability Design and manage PostgreSQL database schemas, focusing on performance tuning and query optimization Implement caching strategies using Redis to improve application performance Develop and manage session handling and data persistence mechanisms Collaborate with frontend teams (React) to deliver seamless UI/UX integration Participate in code reviews, testing, and CI/CD processes Troubleshoot and debug complex backend issues in production environments Contribute to system architecture decisions and best practices Primary Skills (Required) 6+ years of hands-on backend development using Python Strong experience with the Django framework Expertise in GraphQL API development, schema design, and query optimization Solid experience with PostgreSQL, including indexing, query tuning, and schema design Hands-on experience with Redis for caching and session management Strong understanding of RESTful services, microservices, and API design principles Good-to-Have Skills Experience with React (component architecture, state management, hooks) Familiarity with message queues such as RabbitMQ or similar Experience with Docker and containerized application deployment Exposure to AWS or other cloud platforms (EC2, RDS, S3, Lambda, etc.) Knowledge of CI/CD pipelines and DevOps practices Contract Opportunity

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