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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 ...

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 ...

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. • ...

Familiarity with scripting languages such as Python or R for data manipulation and analysis * Experience with project management of operational programs - observing the current processes, evaluating ...

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 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 ...

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.

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 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

Data Analyst

Sandy Springs, GA · Remote

$70K - $80K/yr

About this Role The Data Analyst at Ampacity is a technology-focused role responsible for building ... Proficiency in SQL and Python (or R); advanced Excel skills required * 2+ years building Power BI ...

Data Analyst

Sandy Springs, GA · Remote

$70K - $80K/yr

About this Role The Data Analyst at Ampacity is a technology-focused role responsible for building ... Proficiency in SQL and Python (or R); advanced Excel skills required * 2+ years building Power BI ...

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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 Jul 29, 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.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding business context, and communicating findings, which require human judgment. Data analysts who develop skills in programming, data visualization, and machine learning can adapt to new technologies and continue to add value in data-driven decision-making.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as SQL, Python, and data visualization, along with practical experience and certifications. Employers value diverse backgrounds and experience, making it possible to start a data analyst career at any age.

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 a high paying job?

Python Data Analysts are generally well-compensated due to their technical skills in programming, data manipulation, and analysis. Salaries vary based on experience, location, and industry, but proficiency in Python often leads to higher earning potential compared to many other entry-level roles in data analysis. Certifications and knowledge of related tools like SQL or machine learning can further increase salary prospects.

Is Python useful for data analysts?

Python is highly useful for data analysts because 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.
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 July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $79,471 per year, or $38.2 per hour.
Data Analyst

Full-time

Posted 26 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