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Data Analyst Jobs in Atlanta, GA (NOW HIRING)

Patientco

Data Analyst

Atlanta, GA · On-site

Perform complex data extraction, cleaning, transformation, and analysis from various internal and external data sources. * Develop andmaintaininteractive dashboards, reports, and visualizations using ...

Place Services, Inc.

Data Analyst

Woodstock, GA · On-site

$65 - $95/hr

The Data Analyst supports the Data & Information Systems team by transforming construction project and financial data into meaningful, actionable insights. Working within a construction company ...

Apex Systems

Data Analyst

Atlanta, GA · On-site

Job#: 3044413 Data Analyst Location: Remote Role Overview We are seeking a Data Analyst to perform advanced data quality control and analysis of public health-related data concerning chronic diseases.

Navtech, Inc.

Data Analyst

Alpharetta, GA · On-site

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if ...

Jobsultant Solutions

Data Analyst

Atlanta, GA

Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights Leverage common open-source Machine Learning/Deep Learning packages ...

CharterUP

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Atlanta, GA. (Hybrid: Monday, Wednesday, Friday in-office) About the Role CharterUP is seeking an early career ...

Publicis Groupe Holdings B.V

Data Analyst

Atlanta, GA · Hybrid

The Data Analyst helps support all aspects of analytic initiatives from conception to completion. Responsibilities * Provide SQL programming, under general direction, in the execution of data ...

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Locals OR Ready to relocate candidates only Mode: Hybrid: 2-3 Days On-Site Accepting OPT resumes Experience: Education:

ACI Infotech

Data Analyst

Atlanta, GA · On-site

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Immediate Start - 7th Nov 2022 Mode: On-Site Accepting OPT resumes Experience: 5+ of Data Analasis is reuired. Education:

Horizontal Talent

Data Analyst

Atlanta, GA · On-site +1

Join a team focused on modernizing reporting and analytics by transforming legacy solutions into ... Integrate data from Oracle and SQL Server sources while maintaining performance, accuracy, and ...

Georgia

Data Analyst

Atlanta, GA

Data Analyst Job Requisition ID: JR0000000294 Number of Openings: 1 Shift: Day (United States of America) Compensation Details: $55,000.00 Office of Attorney General Department of Law Project ...

Grady-Health-System

TRC Data Analyst

Atlanta, GA · On-site

$70 - $110/hr

TRC Data AnalystLocation: Atlanta, GADescriptionResponsible for conducting clinical data collection, management, analysis, visualization, and reporting.Develops and integrates data structures and ...

Emory Healthcare

CDCE Data Analyst

Atlanta, GA · On-site

$70 - $90/hr

The Clinical Documentation Integrity (CDI) data analyst is responsible for strategic and operational support through the analysis of clinical, financial, and coding claims data. This role requires ...

4pconsultinginc

Data Analyst II

Forest Park, GA · On-site

Data Analyst II Location: Forest Park, GA Contract- 15 Months Client- Southern Company Services Position Overview The Data Analyst II supports TSS Engineering by developing and maintaining data ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Atlanta, GA

Data Analyst information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for 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 data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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 are popular job titles related to Data Analyst jobs in Atlanta, GA?

For Data Analyst jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Atlanta, GA look for?

The top searched job categories for Data Analyst jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Analyst jobs?

Cities near Atlanta, GA with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

Data Analyst

Atlanta, GA • On-site

Patientco
1 - 10 employees
Learn more about Patientcoexternal

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

ABOUT THIS POSITION

This role partners closely with business leaders and end users to understand their workflows, business practices, and data needs, translating complex information into meaningful insights. This role creates analytics tools and products that help business users identify trends, evaluate performance, and make informed decisions. The role is also expected to assist with data validation techniques and present findings to business users to support understanding, interpretation, and effective use of the analytical product. Responsibilities include querying cloud-hosted databases using structured query language, cleaning and manipulating complex datasets, troubleshooting data discrepancies, and developing reports, dashboards, visualizations, and web-enabled applications through business intelligence and visualization tools. The role builds long-term relationships with internal business users and delivers analytical solutions that go beyond reporting to improve understanding, interpretation, and action on business trends.

WHAT YOU'LL DO

  • Perform complex data extraction, cleaning, transformation, and analysis from various internal and external data sources.
  • Develop andmaintaininteractive dashboards, reports, and visualizations using tools like Tableau, Power BI, or similar.
  • Proactive identification oftrends, patterns, and anomalies in large datasets to inform business strategies andidentifyareas for improvement.
  • Collaborate with cross-functional teams (e.g.,client support, product implementation, marketing, finance, engineering) to understand their data needs and provide analytical support.
  • Conduct ad-hoc analysis and present findings clearly and concisely to both technical and non-technical stakeholders.
  • Effectively manage analytics projects by building and executing project plans, tracking milestones and dependencies, and communicating progress, risks, results, and recommendations to stakeholders.
  • Contribute to the design and implementation of data models and data governance best practices.
  • Assist in the documentation of data processes, definitions, and analytical methodologies.
  • Participatein the evaluation and implementation of new data analysis tools and technologies.

WHAT YOU'LL NEED

  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics,Engineeringora relateddiscipline.
  • 2-4 years of experience in a data analytics or business intelligence role.
  • Proficiencyin SQL for data extraction and manipulation.
  • Strong experience with at least one data visualization tool (e.g., Tableau, Power BI, Looker).
  • Solid understanding of statistical analysis techniques and data modeling principles.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Ability to communicate complex data insights effectively to diverseaudiencesincluding business executives.
  • Experience with scripting languages like Python or R for data analysis is a plus.
  • Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and data warehousing concepts is desirable.

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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