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

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 ...

The Data Analyst is crucial in empowering Atlanta Mission's strategic decisions and designs across ... Familiarity with statistical analysis concepts; experience with Python or R is a plus.

Sr Data Analyst

Atlanta, GA ยท On-site +1

$82K - $104K/yr

SQL and Python are required. * Be proficient in using SQL to extract/transform data from various systems and in performing analysis on large datasets. * 4+ years of experience with visualization ...

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Ability to program in Python and/or Databricks * Experience with digital marketing analytics tools ...

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Ability to program in Python and/or Databricks * Experience with digital marketing analytics tools ...

SunPower is looking for a Data Analyst to join its Energy Analytics team and assist with ... Proficiency with Python or a similar language is a plus but not required * Experience building ...

Sr. Data Analyst

Alpharetta, GA ยท On-site

$84K - $105K/yr

The Senior Data Analytics Consultant will play a pivotal role in driving data-driven conversations ... Experience working in multiple languages including, JavaScript, Python, and SQL * Experience using ...

Business & Data Analyst Location : Atlanta, GA Duration : Fulltime Client : NCR Corporation Rate ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

Use SQL, Python, and related tools to perform data exploration, validation, and reconciliation ... Partner with Analytics Engineering teams to ensure reporting is built on trusted, scalable, and ...

Hands-on experience in data aggregation and analysis using Python, SQL or similar * Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is ...

Business & Data Analyst Location : Atlanta, GA Duration : Fulltime Client : NCR Corporation Rate ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

Analyze large and complex datasets using tools such as Python, R, and SQL * Create clear and compelling visualizations using Matplotlib, Seaborn, Tableau , or similar tools * Present data insights ...

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

And more Description Overview The CDCE Data Analyst at Emory Healthcare provides strategic and ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

CDCE Data Analyst

Atlanta, GA ยท On-site

$52.37 - $65.06/hr

And more Overview The CDCE Data Analyst at Emory Healthcare provides strategic and operational ... SQL, SAS, Python * Microsoft Excel * Power BI, Tableau * Cloud platforms (AWS and/or Azure)

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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 Jul 8, 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 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

Data Analyst

Safe-Guard Products International LLC

Atlanta, GA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Please do not respond to direct messages with your personal information. All job applications and your sensitive, personal information should only be submitted via our official job platform.

Job Title: Data Analyst (hybrid- Monday- Thursday)

Location: US-GA-Atlanta (Sandy Springs)

FLSA: Exempt

#LI-Hybrid

Job Overview:

As a Data Analyst, you will be responsible for a wide variety of analytical tasks. This includes but is not limited to: gathering data from different systems using complex SQL queries, creating enterprise data models, developing cutting edge BI reporting, working with business partners to identify new analytical projects, providing in-depth analysis that bridges the gap between data and business decisions, and providing regular updates to stakeholders. This role will be responsible for supporting the highest priority initiatives at the company.

Job Responsibilities:

  • Provide technical analysis to support business decision making across claims, sales, and other business lines.
  • Work in coordination with data engineers to develop ETL processes to take data from across different systems and bring them into centralized data models.
  • Build enterprise-wide reports using Power BI and other tools.
  • Develop scalable infrastructure to distribute reports to external facing clients.

The above statements are intended only to describe the general nature of the job and should not be construed as an all-inclusive list of position responsibilities.

Job Requirements:

  • B.S. in mathematics, computer science, statistics, engineering, or equivalent.
  • M.S. in mathematics, computer science, statistics, engineering, or equivalent (preferred).
  • Proficiency in SQL and Python.
  • Familiarity with Power BI, Tableau, or equivalent BI tools.
  • AI experience preferred.
  • Strong written and verbal communication skills.

Company Benefits:

  • Medical, Dental, and Vision Insurance
  • Flexible Spending Account
  • Health Savings Account
  • 401(k) Plan with Company Match
  • Company-paid Short-Term and Long-Term Disability
  • Company-paid Life Insurance
  • Paid Holidays and Vacation
  • Employee Referral Program
  • Employee Assistance Program
  • Wellness Programs
  • Paid Community Service Opportunities
  • Tuition Reimbursement
  • Ongoing Training & Personal Development
  • And More!

About Safe-Guard Products International:

Safe-Guard serves Original Equipment Manufacturers (OEMs), top retailers, and independent agents in the automotive finance and insurance industry with the leading Protection Products Platform. Our platform delivers innovative protection products and solutions that protect consumers from the perils of ownership, while providing Finance &Insurance professionals the tools to ignite scalable and sustainable business growth. Safe-Guardโ€™s success is driven by over 850 employees, who serve more than 12,000 dealers and support contract holders across the U.S. and Canada.

For 30 years and counting, our team continues to transform the motor vehicle space, earning a stellar reputation from our partners and peers by providing: 1) the highest quality protection products in the industry, 2) a broad platform of branded product, technology, marketing, and training solutions, and 3) an unwavering commitment to uncomplicated care and customer service.

Safe-Guard Products International is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital status, disability or protected veteran status, or any other status or characteristic protected by federal, state, or local law.