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Data Analysis Jobs in Georgia (NOW HIRING)

Senior Data Analysis

Atlanta, GA · On-site

$118K - $178K/yr

The Sr. Data Analysis position applies established data rules, investigates issues, supports integrations and production processes, and contributes to continuous improvement efforts in partnership ...

Data Analysis Tutor

Augusta, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Roswell, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Woodstock, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Carrollton, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Alpharetta, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Duluth, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Marietta, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Data Analysis Tutor

Athens, GA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field * Expected graduation date of May 2027 * Experience or ...

This role is a unique blend of data analysis, strategic proposal creation, and executive-level administration. What You'll Do: ✅ Analyze and interpret data to drive strategic decisions. ✅ Develop ...

Data Analysis Expertise: * Strong analytical mindset with experience exploring datasets, identifying trends, validating data accuracy, detecting anomalies. * Data Mapping & Documentation:

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Showing results 1-20

Data Analysis information

See Georgia salary details

$28.7K

$69.8K

$114.8K

How much do data analysis jobs pay per year?

As of Jul 27, 2026, the average yearly pay for data analysis 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.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks such as data cleaning and basic reporting, but it does not fully replace data analysts. Analysts are needed to interpret complex data, develop insights, and make strategic decisions that require domain knowledge and critical thinking. Therefore, data analysts will continue to play a vital role alongside AI tools in data-driven organizations.

What is the difference between Data Analysis vs Data Analysis?

AspectData AnalysisData Analysis
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQL, or TableauBachelor's degree in related field, certifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentOffice settings, remote work, data-driven teamsOffice settings, remote work, data-driven teams
Industry UsageFinance, marketing, healthcare, techFinance, marketing, healthcare, tech
Common Search/ComparisonData AnalysisData Analysis

Data Analysis involves examining data sets to uncover trends and insights, often using tools like Excel, SQL, or Tableau. It is a fundamental role across industries such as finance, healthcare, and marketing. The term is broad and often used interchangeably with related roles, but it primarily focuses on interpreting data to support decision-making.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to support decision-making, often using tools like Excel, SQL, and visualization software, and may work across industries including finance, healthcare, marketing, and technology.

What are some common challenges data analysts face when working with cross-functional teams?

Data analysts often collaborate with cross-functional teams such as marketing, engineering, and finance, which can present challenges in aligning on goals and ensuring clear communication. Differences in technical expertise and priorities may require analysts to translate complex data findings into actionable insights for non-technical stakeholders. Building strong relationships and proactively clarifying project objectives can help overcome these challenges and lead to more impactful analysis.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, mastering advanced techniques or gaining extensive experience typically requires longer, and success depends on prior background, dedication, and access to practical projects.

What is data analysis?

Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves using statistical and logical techniques to interpret raw data and identify patterns or trends. Data analysts often use specialized software and tools to visualize and report their findings, helping organizations make data-driven decisions.

What does a data analyst do exactly?

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

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 statistical knowledge, data manipulation skills, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified Data Analyst. Critical thinking, attention to detail, and clear communication help you translate complex data into actionable insights for stakeholders. These skills are crucial for extracting meaningful patterns from data, driving business decisions, and ensuring data-driven strategies.
What are the most commonly searched types of Data Analysis jobs in Georgia? The most popular types of Data Analysis jobs in Georgia are:
What cities in Georgia are hiring for Data Analysis jobs? Cities in Georgia with the most Data Analysis job openings:
Infographic showing various Data Analysis job openings in Georgia as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $69,780 per year, or $33.5 per hour.
Senior Data Analysis

Senior Data Analysis

AT&T

Atlanta, GA • On-site

$118K - $178K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


AT&T rating

7.3

Company rating: 7.3 out of 10

Based on 725 frontline employees who took The Breakroom Quiz

58th of 96 rated telecommunications companies


Job description

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered

Overall Purpose: Sr. Data Analysis professionals support the accuracy, integrity, and usability of enterprise data across multiple business applications and repositories. This role focuses on data collection, processing, validation, quality monitoring, discrepancy investigation, and production support to help maintain trusted data foundations. The position contributes to reliable downstream reporting, analytics, and business decision-making by supporting consistent and dependable data operations.

Role Summary: This role is centered on supporting enterprise data quality and operational reliability rather than owning dashboards or visualization deliverables. The Sr. Data Analysis position applies established data rules, investigates issues, supports integrations and production processes, and contributes to continuous improvement efforts in partnership with business, analytics, and technology teams.

Key Responsibilities:

  • Collect, process, cleanse, and validate data from multiple internal and external sources.
  • Apply and maintain established data rules, mappings, transformations, and interface requirements.
  • Investigate and resolve data discrepancies across systems to improve accuracy, consistency, and reliability.
  • Monitor data quality results, hierarchy integrity, and matching outcomes; escalate patterns and recommend improvements when appropriate.
  • Support production data processes, including validation activities, issue triage, and post-production follow-up.
  • Partner with business, analytics, and technology teams to support trusted data for reporting and operational decision-making.
  • Use SQL and other analytical tools to analyze data, validate outputs, and support issue resolution.
  • Contribute to process improvements and automation efforts that reduce manual rework and improve data reliability.

Qualifications:

  • Experience working in multi-source data environments with attention to data accuracy and consistency.
  • Knowledge of data quality, data governance, hierarchy management, and account or customer matching concepts.
  • Ability to investigate root causes, assess downstream impacts, and support corrective actions.
  • Experience supporting production data processes with a focus on validation, issue resolution, and operational stability.
  • Working knowledge of SQL (Snowflake preferred but SQL Server, Oracle, and Teradata are also relevant). Experience with analytical or data tools such as Python to analyze data, validate outputs, and resolve complex data issues; AI tool experience is a plus.
  • Strong collaboration, communication, and organizational skills across business and technical teams.
  • Experience contributing to automation or data quality improvement initiatives is a plus.

Job Contribution: Recognized as an experienced professional with strong working knowledge in the field, this role independently handles moderately complex data issues, supports key data quality and operational initiatives, and contributes to improvements in enterprise data reliability and performance. The position works within established priorities, collaborates across teams, and may provide guidance to less experienced staff.

Supervisor: No

TCP Career Step Differentiator: Supports data movement, validation, and quality activities across multiple sources while applying analytical methods to solve defined business and operational problems.

Education/Experience: Bachelor's degree preferred in Computer Science, Mathematics, Information Systems, or a related field. Typically requires 3-5 years of relevant experience in data analysis, data quality, data management, or related disciplines. Certifications may be required in some areas.

Our Senior Data Analysis, earn between $118,800 - $178,200. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

  • Medical/Dental/Vision coverage

  • 401(k) plan

  • Tuition reimbursement program

  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)

  • Paid Parental Leave

  • Paid Caregiver Leave

  • Additional sick leave beyond what state and local law require may be available but is unprotected

  • Adoption Reimbursement

  • Disability Benefits (short term and long term)

  • Life and Accidental Death Insurance

  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal

  • Employee Assistance Programs (EAP)

  • Extensive employee wellness programs

  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

A career with us, a global leader in communications and technology, comes with big rewards. As part of our team, you'll lead transformation surrounded by trailblazing industry leaders like you. You'll be empowered to go above and beyond - making a difference through company-sponsored initiatives or connecting and networking through one of our many employee groups.

And regardless of where you're at in your career trajectory, you'll be rewarded by the impact that comes with making a difference in the lives of millions.

With AT&T, you'll be a part of something greater, do incredible things and be rewarded with a chance to change the world.

AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, State, and local laws.

Ready to close the deal on a career with AT&T?

Apply today.

Our Senior Data Analysis jobs earn between $106,100.00 - $178,200.00 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Joining our team comes with amazing perks and benefits:

  • Medical/Dental/Vision coverage
  • 401(k) plan
  • Tuition reimbursement program
  • Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
  • Paid Parental Leave
  • Paid Caregiver Leave
  • Additional sick leave beyond what state and local law require may be available but is unprotected
  • Adoption Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
  • Employee Assistance Programs (EAP)
  • Extensive employee wellness programs
  • Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone

Weekly Hours:

40

Time Type:

Regular

Location:

Atlanta, Georgia, Dallas, Texas

Salary Range:

$106,100.00 - $178,200.00

It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.AT&T is a fair chance employer and does not initiate a background check until an offer is made.


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