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Python Data Analyst Jobs in Georgia (NOW HIRING)

Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst Location: Onsite, Atlanta, GA Position Summary The Data Analyst supports the Client ... Excel, Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Someone that is hands-on technically with t-sql and other data exploration technologies (python ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Someone that is hands-on technically with t-sql and other data exploration technologies (python ...

Position: Data Analyst Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note ... Experience with Python libraries such as Pandas, Matplotlib, or Seaborn * Experience working in ...

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) and I am looking for a ... Strong background in SQL and experience working on Python. * Experience in Statistical techniques ...

Data Analyst

Atlanta, GA

$45 - $60/hr

  • Medical

  • Dental

  • Vision

Analyze financial and operational data to identify trends, forecast results, and provide actionable ... Utilize SQL, Python, and other analytical tools to analyze large datasets and support operational ...

... SQL, Python, or other data query languages is a plus. • Knowledge of sales tax regulations and exemptions is preferred but not required. • Strong problem-solving and analytical skills. • ...

Experience with SQL Strong programming skills in Python or Java Excellent problem-solving and analytical skills Requirements Experience with Neo4j data analysis. Experience with both SQL and graph ...

Data Analyst

Atlanta, GA

$70K - $75K/yr

  • Medical

  • Retirement

Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Atlanta ... Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets * Strong knowledge of ...

Previous experience with analytics preferred Experience with data visualization tools such as PowerBI or Tableau Familiarity with scripting languages such as Python or R for data manipulation and ...

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Data Analyst II Location: Forest Park, GA Contract- 15 Months Client- Southern Company Services ... This role requires strong technical skills in SQL, Python, Spark, and data visualization as well as ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Sr. Data Analyst helps support all aspects of analytic initiatives from conception to ... Python, R, etc. * Support implementation of business intelligence and marketing automation ...

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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 Aug 19, 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.

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.

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.

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.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, 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:

Infographic showing various Python Data Analyst job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.

Data Analsyt (Python + AWS)

Hexaware Technologies, Inc

Atlanta, GA • On-site

Other

Posted 15 days ago


Job description

Job Role-Data Analyst
Location- Atlanta, GA
Duration-Full Time
Job Description
Data Analyst
Role Summary
We are seeking a Data Analyst to turn data into insights by building dashboards, defining metrics, and conducting analyses on AWS-based datasets. You will work primarily with SQL on Redshift/Athena, Python for analysis and automation, and BI tools to deliver accurate, actionable reporting.
Key Responsibilities
  • Translate business questions into analyses, KPIs, and dashboards.
  • Query and transform data using SQL against RDS, Oracle, Amazon Redshift and Athena.
  • Perform data profiling and validation on S3/Redshift datasets; escalate data quality issues and partner on resolution.
  • Write Python (pandas) for exploratory analysis, feature preparation, and light automation.
  • Optimize queries via appropriate partitioning, filters, and Redshift/Athena best practices.
  • Document logic, assumptions, and lineage in Confluence; manage work in Jira.
  • Create STTM Mapping document by coordinating with upstream/downstream stakeholders
  • Collaborate with data engineers on data requirements, schema changes, and data freshness SLAs.
  • Follow version control practices (Git) for SQL, notebooks, and dashboard assets.
Must-Have Skills
  • Strong SQL (CTEs, window functions, joins, query optimization basics).
  • Python for analysis (pandas, basic visualization) and working with JSON.
  • Hands-on experience with Amazon Redshift, Athena, and S3-based datasets.
  • Understanding of dimensional modeling, star schemas, and partitioned data.
  • Requirements gathering, stakeholder communication, and documentation (Confluence/Jira).
Nice-to-Have
  • Basic statistics (A/B testing, confidence intervals), Excel/Sheets power-user skills.
  • Familiarity with Glue Data Catalog concepts, data contracts, and data quality checks.
  • Build and maintain dashboards in QuickSight (or Tableau/Power BI) with consistent, well-documented metrics.