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Entry Level Statistical Programmer Jobs in Atlanta, GA

Business Analyst II - Fraud

Atlanta, GA · On-site

$100K - $110K/yr

Partner with Engineering, Fraud Ops and Product to identify and close data, performance, and ... Bachelor's degree or equivalent experience in Statistics, Finance, Mathematics, Analytics, or a ...

Interest in youth athletics and recreation programming; education leading to a Bachelor's Degree in ... Complexity: Performs entry-level professional work including basic data analysis and synthesis ...

Athletic Assitant - 2026

Milton, GA · On-site

$12 - $15/hr

Interest in youth athletics and recreation programming; education leading to a Bachelor's Degree in ... Complexity: Performs entry-level professional work including basic data analysis and synthesis ...

Showing results 21-40

Entry Level Statistical Programmer information

See Atlanta, GA salary details

$81.3K

$141.6K

$239.5K

How much do entry level statistical programmer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for entry level statistical programmer in Atlanta, GA is $141,644.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $153,900.00 per year, depending on experience, location, and employer.

What does an entry level statistical programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an entry level statistical programmer?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What are the most commonly searched types of Statistical Programmer jobs in Atlanta, GA?

The most popular types of Statistical Programmer jobs in Atlanta, GA are:

What are popular job titles related to Entry Level Statistical Programmer jobs in Atlanta, GA?

For Entry Level Statistical Programmer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Programmer jobs in Atlanta, GA look for?

The top searched job categories for Entry Level Statistical Programmer jobs in Atlanta, GA are:

Infographic showing various Entry Level Statistical Programmer job openings in Atlanta, GA as of September 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 56% In-person, and 44% Remote job distribution, with an average salary of $141,644 per year, or $68.1 per hour.

Product Availability Generalist

Cumming, GA • On-site

AutomationDirect
Industrial Automation Equipment Manufacturing • 201 - 500 employees

Full-time

Re-posted 10 days ago


Key responsibilities

  • Design and build dashboards and automated reports to monitor key metrics and support data-driven insights.

  • Handle all tasks related to product launch and obsolescence, including supplier onboarding, system setup, and inventory management.

  • Maintain sales forecasts, create purchase orders, and communicate with suppliers to support demand planning activities.


Job description

Objective:

This position has three primary purposes: 1) Work as an analytics and reporting specialist to help the team benefit from access to timely, useful data and information; 2) Perform general duties to support the team, including primary responsibility for product launches and obsolescence; 3) Perform demand planning duties for an assigned group of suppliers.


Responsibilities:

Analytics and Reporting:

  • Design and build useful dashboards and automated reports for the team to monitor key metrics and alerts and arrive at customized insights using tools such as Power BI, SalesForce, SSRS, or Excel
  • Act as an entry-level resource for the team onpractical AI tool usage; stay current on approved tools, share bestpractices, and help identify where AI can reduce manual effort withinAutomationDirect guidelines
  • Collaborate with other teams on the use of advanced analytics to optimize forecasting and inventory
  • Support regular and ad hoc reporting needs
  • Ensure data accuracy, consistency, and integrity in all reporting
  • Support documentation of data definitions, business rules, and reporting procedures

Team Support

  • Handle all tasks related to product launch and obsolescence for the team, including attending launch meetings, handling supplier onboarding activities, completing SalesForce tasks, issuing initial stocking orders and last-time buys, etc.
  • Ensure product and forecast data is correctly setup in systems for launches and obsolescence
  • Assist with Supplier Information Management (SIM) dashboards, data integrity, and other system needs
  • Assist with receiving discrepancies and inventory returns up to resolution
  • Ensure vendors are abiding by contractual purchasing requirements such as backup inventory, lead times, stock rotations
  • Assist with Advanced Shipping Notice creation and order confirmations for selected vendors
  • Assist with applying AI tools to reporting, summarizing, and analytics tasks under guidance

Demand Planning

  • For assigned suppliers with semiannual or annual purchases, maintain sales forecasts and create purchase orders. Maintain expected ship date information and expedite delivery when needed
  • Handle related inventory returns, receiving discrepancies, delayed shipments, and other daily communications with suppliers
  • Use LLM tools (such as Microsoft Copilot or ChatGPT) to help draft routine supplier communications

Qualifications:
  • Minimum of high school education or equivalent required
  • Bachelors in Business Administration, Business Analytics or equivalent degree preferred
  • Proficiency and experience in MS Office suite (Excel, Outlook, PowerPoint, Teams, etc) required
  • Proficiency and experience with BI Tools (MS Power BI, SSRS) required
  • Familiarity with SQL querying language preferred
  • Previous experience in a purchasing/forecasting role and/or analytics role is preferred
  • Experience with Epicor ERP, SalesForce, and demand planning software is preferred
  • Proficiency in advanced statistical/analytical tools and programming languages (e.g., Python, R) is a plus
  • Proficiency and experience with AI tools such as Microsoft Copilot, ChatGPT, or similar LLM-based assistants preferred