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Intern 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)

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)

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

$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 ...

Sr. Data Analyst I

Atlanta, GA · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to communicate with technical and non ...

New

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

Intern Python Data Analyst information

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What are the key skills and qualifications needed to thrive as an Intern Python Data Analyst?

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

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:

Full-time

Re-posted 10 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 ResponsibilitiesData 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 QualificationsEducation
  • 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.

Employment Type: FULL_TIME

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