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Entry Level Statistical Analyst Jobs (NOW HIRING)

Jobs / Entry-Level Data Scientist - AI Chatbot Development Entry-Level Data Scientist - AI Chatbot ... The successful candidate will have a strong foundation in statistical analysis and natural language ...

As an Entry Level Data Analyst, you'll work with cross functional teams to prepare, analyze, and ... Science, Statistics, Business Analytics, or a related field. • Authorization to work in the ...

... analyses with a high degree of quality and accuracy. This entry-level role is an excellent ... Statistics, Operations Research or related disciplines. * Must qualify to be granted a Secret ...

Entry Level Analyst

Washington, DC · On-site

$55K - $75K/yr

Use analytical tools such as ACEIT, Excel and other Microsoft Office applications Skills Required * 24 semester hours of quantitative course work (mathematics, statistics, engineering, physics ...

... predictive models Conduct statistical analysis to determine trends and significant data ... Entry-Level Job Family: Engineering/Science/Technology Product Service Line: Production ...

As an Entry Level Data Analyst, you'll work with cross functional teams to prepare, analyze, and ... Science, Statistics, Business Analytics, or a related field. • Authorization to work in the ...

Program Analyst

California, MO · On-site

$35.49 - $47.32/hr

Many of our executive leadership team have been promoted from entry-level positions ... Demonstrate knowledge in basic statistical principles, analytical techniques and methods, and ...

This level may include individuals in entry level roles, typically graduates. Extracts actionable ... techniques-including statistical analysis, predictive modelling, experimentation, pattern ...

This level may include individuals in entry level roles, typically graduates. Extracts actionable ... techniques-including statistical analysis, predictive modelling, experimentation, pattern ...

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Entry Level Statistical Analyst information

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

As of Sep 12, 2026, the average yearly pay for entry level statistical analyst in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What is an entry level statistical analyst?

An Entry Level Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical techniques and software to identify trends, create reports, and support business or research objectives. Common tasks include data cleaning, running statistical tests, and developing visualizations. This role typically requires proficiency in tools like Excel, SQL, R, or Python, as well as a strong foundation in statistics and data analysis. It is a great starting point for individuals looking to build a career in data science, business analytics, or research.

What are some typical projects or responsibilities for an entry level statistical analyst?

As an Entry Level Statistical Analyst, you can expect to work on tasks like collecting and cleaning data, running statistical tests, creating basic reports, and assisting senior analysts with larger research projects. You may be asked to prepare visualizations, help identify trends or anomalies, and support the decision-making process by presenting findings to team members or stakeholders. Collaboration is common, as analysts often work alongside data engineers, business analysts, and project managers. This hands-on work provides excellent learning opportunities and helps build a strong foundation for career advancement.

What are the key skills and qualifications needed to thrive in the entry level statistical analyst position, and why are they important?

To thrive as an Entry Level Statistical Analyst, you need a solid foundation in statistical methods, data analysis, and a relevant degree in statistics, mathematics, or a related field. Familiarity with tools such as Excel, SQL, R, or Python, and knowledge of data visualization platforms like Tableau or Power BI, is typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings in a clear manner help set candidates apart. These skills ensure accurate data interpretation, effective collaboration, and the ability to provide actionable insights that support business goals.

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Infographic showing various Entry Level Statistical Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 88% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Entry-Level Data Scientist - AI Chatbot Development

On-site

Other

Posted 11 days ago


Job description

Jobs / Entry-Level Data Scientist – AI Chatbot Development

Entry-Level Data Scientist – AI Chatbot Development

Full-time

About the Role

The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist – AI Chatbot Development to join our Team. This role will be based in Washington, DC.The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff.The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.

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