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Senior Python Data Analysis Jobs in Georgia (NOW HIRING)

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 ...

Python Developer (AWS cloud)

Atlanta, GA · On-site

$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 analyzedata, look at data patterns, come out with ...

PYTHON DEVELOPER

Alpharetta, GA · On-site

$49 - $67.50/hr

ALPHERATTA,GA(REQUIERED F2F INTERVIEW) • Senior Python Developer responsible for designing, building, and releasing high quality Python Model SDKs used by data scientists and ML engineers • ...

Mainframe Python

Atlanta, GA

$47 - $60.50/hr

Position: Senior Python Engineer -- Mainframe (DB2/JCL) Location: Atlanta, GA (Onsite) Senior ... Data processing pipelines (plus): Build high-volume ETL/ELT flows with Python (e.g., pandas ...

Senior Principal Data Analyst

Atlanta, GA

$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 ...

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 ...

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 ...

Data Engineer II

Atlanta, GA

$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 ...

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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:
Python Developer (AWS cloud)

Python Developer (AWS cloud)

ITTConnect

Atlanta, GA • On-site, Remote

$48.25 - $66.50/hr

Contractor

Posted 29 days ago


Job description

ITTConnect is seeking a Senior Python Developer to work remotely for a client in the US. This is a long term position with a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. The end client is in the Telecom area (internet, mobile, cable TV provider).

Initial assignment until December. Job location: Atlanta preferred, hybrid, or remote. This is basically an Application Development Profile with real time data processing experience At least 5+ years of overall IT experience Python backend development experience (not PySpark) Should have good experience with maintenance project & related process.

Good Data Analytical skills - must be able to analyze data, look at data patterns, come out with recommendations for data cleansing/categorization. Analyze issues and generate recommendations for application enhancements and bug fixes as well as document support manuals for repeated errors for the team. Good communication skills.

Requirements MUST HAVE requirements: Strong Python Backend hands on development Use of AWS Services (Lambda, EKS, SQS, SNS, Elasticsearch, Redis, Opensearch) - all of these. Kafka experience (or Amazon Kinesis, Rabbit MQ) Should have knowledge of Rest APIs. Exposure to Scrum framework.

Benefits None.