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

And more 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 ...

Position Summary The Accounting Data Analyst leads process automation across the accounting function, driving efficiency by automating billing, reporting, journal entries, and other recurring ...

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 ...

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 ...

Sr Data Analyst

Atlanta, GA · Hybrid

$82K - $104K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm's strategic initiatives, in the Data Analytics group is responsible for data-driven forecasting, leading ...

New

ITTConnect is seeking a Data Analyst (Neo4j) to work remotely for a client in the US. This is a contract position with a client that is a global leader in consulting, digital transformation ...

Data Analyst 2

Duluth, GA · Hybrid

$65K - $75K/yr

About this Position The Data Analyst 2 is responsible for completing all data requests routed to the Securities department. Examples include regulatory data request, analyzing large data sets for ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

Data Analyst II Responsibilities and Duties: * Participate in recurring program forums, including Weekly Project Status Reporting, coordination meetings, and Standard Operating Procedure (SOP ...

Data Analyst 2

Duluth, GA · On-site

$65K - $75K/yr

About this Position The Data Analyst 2 is responsible for completing all data requests routed to the Securities department. Examples include regulatory data request, analyzing large data sets for ...

SUMMARY: The Program Analyst will be primarily responsible for ensuring accurate and efficient data entry into various systems and databases. The Program Analyst will play a crucial role in ...

Data Analyst II

Alpharetta, GA · On-site

$59K - $98K/yr

We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates ...

At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by connecting technical and business teams and enabling critical day-to-day operations. You will partner with ...

At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by connecting technical and business teams and enabling critical day-to-day operations. You will partner with ...

They are seeking a Finance Data Analyst to serve as the data engine for their finance team, working cross-functionally to extract and analyze data that drives financial reporting and business ...

Sr Data Analyst

Atlanta, GA · On-site

$81K - $103K/yr

The Senior Data Analyst will be responsible for ah-hoc data request support, and developing and maintaining analytics tools to support the Assurance and Advisory Management (AMP) team for project ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Senior Data Analyst Location: 270 Washington Street SE, Suite 5-181, Atlanta, GA 30334 (On Site) Duration: 12 Months Interview: In-Person / Face to Face JOB SUMMARY Under broad supervision, performs ...

Showing results 41-60

Weekend Data Analyst information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do weekend data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for weekend 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 is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

What are the key skills and qualifications needed to thrive as a weekend data analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
What are the most commonly searched types of Data Analyst jobs in Atlanta, GA? The most popular types of Data Analyst jobs in Atlanta, GA are:
What job categories do people searching Weekend Data Analyst jobs in Atlanta, GA look for? The top searched job categories for Weekend Data Analyst jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Weekend Data Analyst jobs? Cities near Atlanta, GA with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

$52.37 - $65.06/hr

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 887 rated healthcare providers


Job description

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 

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.

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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