1

Python Data Analyst Jobs in Atlanta, GA (NOW HIRING)

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 ...

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

Norcross, GA · On-site

$75K/yr

... 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 ...

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 databases.

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 ...

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 ...

Data Analyst

Atlanta, GA · On-site

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

New

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

NACI Data Engineer & Analyst, Part-time with Full Time Potential AMDEX.ai The Art of Data Science ... Develop and maintain validation and transformation scripts using Python, R, SQL, and related tools

Strong programming skills in Python or Java. Experience with Snowflake is a plus. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Good ...

ITTConnect is seeking a Data Analyst (Neo4j) to work remotely for a client in the US. This is a ... Strong programming skills in Python or Java . * Experience with Snowflake is a plus. * Excellent ...

next page

Showing results 1-20

Python Data Analyst information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do python data analyst jobs pay per year?

As of Jun 18, 2026, the average yearly pay for python data analyst in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 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.

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.

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.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
What are the most commonly searched types of Python Data Analyst jobs in Atlanta, GA? The most popular types of Python Data Analyst jobs in Atlanta, GA are:
What are popular job titles related to Python Data Analyst jobs in Atlanta, GA? For Python Data Analyst jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Atlanta, GA look for? The top searched job categories for Python Data Analyst jobs in Atlanta, GA are:
Infographic showing various Python Data Analyst job openings in Atlanta, GA as of June 2026, with employment types broken down into 3% As Needed, 38% Full Time, 48% Part Time, 10% Contract, and 1% Nights. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.
Data Analyst

Full-time

Posted 15 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML