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Python Data Analyst Jobs in Georgia (NOW HIRING)

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)

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)

Snowflake, Python, Terraforma We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into ...

Snowflake, Python, Terraforma We are seeking a highly analytical, technically strong, and relentlessly curious Data Analyst / Analytics Engineer to help transform complex, disconnected data into ...

And more Description * The Data Analyst II is responsible for designing and disseminating ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: * Bachelor's degree and 0 years of experience ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Data Analyst II

Atlanta, GA · On-site

$32.16 - $39.95/hr

The Data Analyst II is responsible for designing and disseminating comprehensive reports with data ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: * Bachelor's degree and 0 years of experience ...

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Data Analyst II

Atlanta, GA

$32.16 - $39.95/hr

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

And more Description * The Data Analyst II is responsible for designing and disseminating ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: * Bachelor's degree and 0 years of experience ...

And more Description * The Data Analyst II is responsible for designing and disseminating ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: * Bachelor's degree and 0 years of experience ...

And more Description * The Data Analyst II is responsible for designing and disseminating ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: * Bachelor's degree and 0 years of experience ...

Showing results 41-60

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.

CDCE Data Analyst

Emory Healthcare

Atlanta, GA • On-site

Other

Re-posted 21 days ago


Emory Healthcare rating

7.7

Company rating: 7.7 out of 10

Based on 217 frontline employees who took The Breakroom Quiz

159th of 888 rated healthcare providers


Job description

Overview
Be inspired. Be rewarded. Belong. At Emory Healthcare.
At Emory Healthcare we fuel your professional journey with better benefits, valuable resources, ongoing mentorship and leadership programs for all types of jobs, and a supportive environment that enables you to reach new heights in your career and be what you want to be. We provide:
  • Comprehensive health benefits that start day 1
  • Student Loan Repayment Assistance & Reimbursement Programs
  • Family-focused benefits
  • Wellness incentives
  • Ongoing mentorship, development, and leadership programs
  • And more

Description
Overview
The CDCE Data Analyst at Emory Healthcare provides strategic and operational support through the analysis of clinical, financial, and claims data. This role is responsible for leveraging large datasets-including MEDPAR, Vizient, Quality data, and internal claims-to benchmark organizational performance and identify opportunities for improvement in Clinical Documentation Integrity (CDI), coding accuracy, and provider documentation practices. The analyst plays a key role in driving improvements in Case Mix Index (CMI), risk adjustment, and departmental performance by identifying trends and delivering actionable insights. This position collaborates closely with mid-revenue cycle leadership, vendors, and digital teams, utilizing platforms such as Epic, Solventum, Vizient, and other systems to support data-driven decision-making and business application optimization.
Key Responsibilities
Data Extraction, Validation, and Analysis
  • Develop and execute advanced data queries using programming languages to extract and integrate data from multiple sources
  • Validate data accuracy and ensure integrity of datasets
  • Analyze structured and unstructured data to identify meaningful trends and performance metrics
  • Collect, interpret, and evaluate clinical documentation data to identify opportunities for improvement
Performance Metrics & Trend Analysis
  • Analyze trends in documentation quality, coding accuracy, and financial performance
  • Identify patterns, gaps, and areas of focus impacting quality outcomes and reimbursement
  • Support initiatives to improve CMI, risk adjustment, and overall documentation quality
Reporting & Dashboard Development
  • Design and develop dashboards and visual reports for CDI leadership, physicians, and quality teams
  • Monitor and report on key performance indicators (KPIs), including:
    • Financial impact
    • Risk adjustment trends
    • Patient Safety Indicators (PSI) and Hospital-Acquired Conditions (HAC)
    • Provider performance metrics
Compliance & Audit Readiness
  • Monitor documentation practices for compliance with CMS, ICD-10, and payer requirements
  • Support internal audits and external reviews by preparing and validating data
  • Ensure reporting aligns with regulatory and organizational standards
Collaboration & Strategic Insights
  • Partner with CDI specialists, coders, and clinical teams to translate data insights into actionable strategies
  • Provide feedback to enhance provider education and documentation workflows
  • Collaborate with vendors and digital teams to optimize system functionality and reporting tools
  • Support business decisions related to data applications and mid-revenue cycle systems
Minimum Qualifications
Education
  • Bachelor's degree in Computer Science, Health Information Management (HIM), Data Analytics, or a related field
Required Skills & Experience
  • Proficiency in data analysis and programming tools, including:
    • SQL, SAS, Python
    • Microsoft Excel
    • Power BI, Tableau
    • Cloud platforms (AWS and/or Azure)
  • Strong analytical and problem-solving skills
  • Advanced ability to write code, merge datasets, and validate analysis results
  • Knowledge of clinical documentation standards, healthcare regulations, and industry practices
  • Excellent communication and interpersonal skills
  • Ability to work independently and collaboratively in a team environment
Preferred Qualifications
  • Master's degree in Computer Science, Health Information Management (HIM), Data Analytics, or a related fields.

Additional Details
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.
ACCOMMODATIONS: EHC will provide reasonable accommodation to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Office of Leave and Accommodations.
PHYSICAL REQUIREMENTS: (Medium-Heavy) 36-75 lbs., 0-33% of the work day (occasionally); 20-35 lbs., 34-66% of the workday; (frequently); 10-20 lbs., 67-100% of the workday (constantly); Lifting 75 lbs. max; Carrying of objects up to 35 lbs.; Occasional to frequent standing & walking; Occasional sitting; Close eye work (computers, typing, reading, writing); Physical demands may vary depending on assigned work area and work tasks.
ENVIRONMENTAL FACTORS: Factors affecting environmental conditions may vary depending on the assigned work area and tasks. Environmental exposures include, but are not limited to: Blood-borne pathogen exposure; Bio-hazardous waste Chemicals/gases/fumes/vapors; Communicable diseases; Electrical shock; Floor Surfaces; Hot/Cold Temperatures; Indoor/Outdoor conditions; Latex; Lighting; Patient care/handling injuries; Radiation; Shift work; Travel may be required; Use of personal protective equipment, including respirators; environmental conditions may vary depending on assigned work area and work tasks.

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