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Statistical Analyst Jobs in Georgia (NOW HIRING)

Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is preferred * Experience working with data visualization tools such as Power BI or ...

Research Data Analyst Senior

Atlanta, GA · On-site

$111K - $112K/yr

This senior-level research and data analyst position supports complex statistical, financial, and operational data analysis for management decision-making. The role involves extracting and analyzing ...

Data Analyst IV

Atlanta, GA · On-site

$50 - $60/hr

... statistical concepts, such as random sampling, basic analysis, and data suppression Ability to obtain and maintain a Government suitability clearance Working knowledge of SAS statistical analysis ...

... statistics, machine learning, etc.). Operates with limited supervision and mentorship of more experienced managers and senior analysts. This position will serve as one of multiple analysts on the ...

Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data analytics and other strategies ...

Responsibilities • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other ...

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Statistical Analyst information

See Georgia salary details

$25.3K

$59.5K

$99.2K

How much do statistical analyst jobs pay per year?

As of Jun 17, 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 collects, analyzes, and interprets data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support business strategies, often working with large datasets and requiring strong analytical skills.

Is 40 too late for data science?

A career as a statistical analyst or data scientist can be pursued at any age, including 40. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Age is less a barrier than having the necessary technical knowledge and experience in data analysis tools like Python, R, or SQL.

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.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a statistical analyst, such as data processing and basic analysis, but it does not fully replace the need for human expertise in interpreting complex data, making strategic decisions, and understanding context. Data analysts who develop skills in machine learning tools and programming languages like Python or R remain valuable in leveraging AI effectively. The role continues to evolve alongside technological advancements, emphasizing the importance of analytical thinking and domain knowledge.

What jobs in the US pay 300,000 a year?

For a Statistical Analyst, earning $300,000 annually typically requires senior-level experience, advanced skills in data modeling and programming, and often a role in finance, consulting, or technology sectors. Such compensation may include bonuses, stock options, or other incentives, and usually involves leadership responsibilities or specialized expertise. High-paying roles are often found in large organizations or firms with complex data needs.

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.

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 are popular job titles related to Statistical Analyst jobs in GA? For Statistical Analyst jobs in GA, the most frequently searched job titles are:
Infographic showing various Statistical Analyst job openings in Georgia as of June 2026, with employment types broken down into 2% Locum Tenens, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $59,487 per year, or $28.6 per hour.
Data Analyst at Atlanta, GA

Data Analyst at Atlanta, GA

PSRTEK

Atlanta, GA • On-site

Other

Posted 6 days ago


Job description

Position: Data Analyst

Experience: - 8+ Years experience

Location: - Atlanta, GA

Job Description

  • Qualifications -
    • Experience working as a data analyst, preferably within pharmaceutical, healthcare or life sciences domain
    • Understanding of healthcare data such as claims data, sales data, pharmacy sales data etc.
    • Hands-on experience in data aggregation and analysis using Python, SQL or similar
    • Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is preferred
    • Experience working with data visualization tools such as Power BI or Tableau
    • Excellent problem solving skills
    • Strong communication skills and ability to give client demos. This will be a client facing role.
    • Ability to understand client requirements and translate functional requirements to technical specifications
    • Familiarity with cloud-based platforms