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Statistical Analyst Jobs in Georgia (NOW HIRING)

LivaNova

Statistical Programmer II

Atlanta, GA

$90K - $100K/yr

The statistical programming team develops datasets from our clinical trials and delivers tables ... Provide input into SAP, analysis specifications, and data presentations for clinical trials.

Becton, Dickinson and Company

The Senior Statistical Programmer is responsible for developing, testing, maintaining, validating ... Generate analysis datasets, tables, figures, and listings for clinical trials, regulatory ...

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

This role requires strong technical expertise in data analysis, visualization, and statistical modeling, along with the ability to translate data into clear, impactful insights for stakeholders. Key ...

Norlox Solutions LLC

Data Analyst

Alpharetta, GA · On-site

Required Qualifications: · Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field. · 2-5+ years of experience as a Data Analyst or in ...

New

Wood Plc

Environmental Statistician

Kennesaw, GA · On-site +1

Prepare sample designs, conduct data analysis and interpretation, and power analyses of environmental data for multi-disciplined project teams * Communicate statistical evaluations and results with ...

MMS

Study Design Statistician (US)

Atlanta, GA · On-site

Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality. * Provide statistical consultancy support ...

micro1 AI

Director of Biostatistics

Macon, GA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

New

micro1 AI

Director of Biostatistics

Savannah, GA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

New

micro1 AI

Director of Biostatistics

Sandy Springs, GA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

New

micro1 AI

Director of Biostatistics

Augusta, GA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

New

micro1 AI

Director of Biostatistics

South Fulton, GA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

New

micro1 AI

Director of Biostatistics

Columbus, GA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

New

micro1 AI

Director of Biostatistics

Atlanta, GA · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

New

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All JobsStatistical Analyst JobsStatistical Analyst Jobs in Georgia

Statistical Analyst information

See Georgia salary details

$25.3K

$59.5K

$99.2K

How much do statistical analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for statistical analyst in Georgia is $59,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $68,400.00 per year, depending on experience, location, and employer.

What does a statistical analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

What are some common challenges statistical analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

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

To thrive as a Statistical Analyst, you need a strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What is a statistical analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

Do statistical analysts make a lot of money?

Statistical analysts typically earn competitive salaries that vary by experience, education, and industry. According to industry data, the median annual wage for statistical analysts is above the national average, with higher earnings possible for those with advanced skills in data analysis tools like R or Python and relevant certifications. Salary potential increases with experience and specialization in fields such as finance, healthcare, or technology.
More about Statistical Analyst jobs
What are the most commonly searched types of Statistical Analyst jobs in Georgia? The most popular types of Statistical Analyst jobs in Georgia are:
What are popular job titles related to Statistical Analyst jobs in Georgia? For Statistical Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Statistical Analyst jobs in Georgia look for? The top searched job categories for Statistical Analyst jobs in Georgia are:
What are popular job titles related to Statistical Analyst jobs in GA? For Statistical Analyst jobs in GA, the most frequently searched job titles are:
Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in Georgia as of July 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $59,487 per year, or $28.6 per hour.

Statistical Programmer II

LivaNova

Atlanta, GA

$90K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

Come join a great company and be part of a dynamic, growing team of programmers. Put your expertise to great use as we improve our programming standards and processes to develop best-in-class programming outputs. The statistical programming team develops datasets from our clinical trials and delivers tables, listings, and figures (TLFs) per Statistical Analysis Plans (SAPs) to support new products and therapies, as well as togenerate evidence for marketed devices. This talented team also supports additional programming activities for clinical operations and other areas of the company, including R&D and Quality.


The Role

  • The Statistical Programmer will support programming activities for multiple projects on clinical study reports and publications.

  • Accountable for clinical statistical programming deliverables and for ensuring excellence in programming activities in terms of quality and timelines for clinical trials under the responsibility of Statistics & Data Management.

  • Collaborate with Statistics, Data Management, Clinical, and vendor teams to clarify requirements and resolve data or programming issues.

  • Develop, validate, and maintain SAS programs in accordance with study requirements, internal standards, and SOPs

  • Contribute to the creation, validation, and documentation of SDTM and ADaM datasets.

  • Responsible for producing programming outputs, validation, and related documentation to ensure accuracy, consistency, and traceability.

  • Ensure deliverables meet expectations in terms of timelines and quality, regulatory and key user group requirements (e.g., CDISC), operational efficiency, and alignment with the study's clinical and statistical objectives.

  • Provide input into SAP, analysis specifications, and data presentations for clinical trials.

  • Support ongoing workflow modernization, migration activities, and standardization initiatives.

  • Participate in process improvement activities related to programming efficiency, quality, and standardization.

Minimum Requirements

  • Bachelor's degree or higher in statistics, mathematics, computer science, life sciences, data science, or related field.

  • Relevant experience in clinical trial programming, clinical data analysis, statistical programming, or regulated data environments.

  • Strong SAS programming skills, including data step, procedures, macros, and debugging.

  • Ability to write clear, validated, reusable, and well-documented code.

  • Understanding of programming quality control, validation, and traceability expectations.

  • Working knowledge of CDISC standards, especially SDTM and ADaM.

  • Ability to support dataset creation, validation, listings, tables, figures, and ad hoc analyses.

  • Understanding of clinical trial data flow from data collection to analysis/reporting.

  • Strong attention to detail and quality.

  • Ability to work independently on assigned tasks with appropriate guidance.

  • Good communication skills and ability to collaborate with Statistics, Data Management, Clinical, and external vendors.

  • Ability to manage priorities and timelines in a changing project environment.

Desired Qualifications

  • Experience with R, Python, SQL, Git, or other modern programming/version control tools.

  • Experience with SAS Enterprise Guide or other SAS-based clinical programming environments.

  • Experience supporting medical device, neuromodulation, or cardiovascular/respiratory studies.

  • Familiarity with data visualization, dashboards, automation, or workflow improvement.

  • Experience working with vendors or cross-functional global teams.

  • Understanding of controlled programming environments, SOPs, and audit-ready documentation.

Pay Transparency

  • A reasonable estimate of the annual base salary for this position is $90,000 - $100,000 plus discretionary annual bonus. Pay ranges may vary by location and are awarded based on experience.


Employee benefits include:

  • Health benefits - Medical, Dental, Vision

  • Personal and Vacation Time

  • Retirement & Savings Plan (401K)

  • Employee Stock Purchase Plan

  • Training & Education Assistance

  • Bonus Referral Program

  • Service Awards

  • Employee Recognition Program

  • Flexible Work Schedules

Valuing different backgrounds:

LivaNova values equality and diversity. We are committed to ensuring that our recruitment process is fair, transparent and free from unlawful discrimination. Our selection process is driven by the key demands/requirements for the role rather than bias or discrimination on the basis of a candidate's sex, gender identity, age, marital status, veteran status, non-job-related disability/handicap or medical condition, family status, sexual orientation, religion, color, ethnicity, race or any other legally protected classification.


Notice to third party agencies:

Please note that we do not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Recruitment Services Agreement, we will not consider, or agree to, payment of any referral compensation or recruiter fee. In the event that a recruiter or agency submits a resume or candidate without a previously signed agreement, we explicitly reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.


Beware of Job Scams:

Please beware of potentially fraudulent job postings or suspicious recruiting activity by persons posing as LivaNova recruiters or employees. The scammers may attempt to solicit confidential, personal information, such as a social security number, or your financial information. LivaNova will never ask for fees prior/during/after the application process, nor will we ask for banking details or personal financial information in return for the assurance of employment. If you are concerned that an offer of employment might be a scam or that the recruiter is not legitimate, please verify by searching for "See Open Jobs" onhttps://www.livanova.com/en-us/careers, and check that all recruitment emails come from an @livanova.com email address.

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