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Entry Level Statistical Analyst Jobs (NOW HIRING)

NV5

Energy Analyst - Building Performance

Ridgefield, CT · On-site

We are seeking a motivated Energy Analyst (Intern/Entry Level) with strong analytical capabilities ... Perform statistical analysis of datasets to validate calculation conclusions. * Work with senior ...

Lockheed Martin

Quality Analyst Associate

Camden, AR · On-site

... Statistical Analysis - Use Excel (pivot tables, charts, basic formulas) and introductory ... entry-level roles acceptable). -Proficient with Microsoft Office. -Familiarity with basic ...

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Entry Level Statistical Analyst information

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$70.5K

$117.5K

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

As of Jun 22, 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 job?

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 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.

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.

More about Entry Level Statistical Analyst jobs
What cities are hiring for Entry Level Statistical Analyst jobs? Cities with the most Entry Level Statistical Analyst job openings:
What are the most commonly searched types of Statistical Analyst jobs? The most popular types of Statistical Analyst jobs are:
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What job categories do people searching Entry Level Statistical Analyst jobs look for? The top searched job categories for Entry Level Statistical Analyst jobs are:
Entry Level Statistical Analyst jobs near you
Infographic showing various Entry Level Statistical Analyst job openings in the United States as of June 2026, with employment types broken down into 43% Full Time, and 57% Part Time. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.
Entry Level Java React Developer

Entry Level Java React Developer

SynergisticIT

Denver, CO

Other

Posted 22 days ago

Job description

Synergisticit Job Opportunities

Since 2010 SynergisticIT has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and at clients. The tech job market has been affected by massive layoffs and since 2021 there have been more than 600,000 tech layoffs. The job market is hyper competitive. For 1 position 500-1000 candidates or more are applying and laid off job seekers are also competing for entry-level job positions.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few. We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We need data science/machine learning/data analyst and Java full stack candidates. Preferred skills for Java/full stack/devops positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT knowledge of core Java, javascript, C++ or software programming. Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience.

For data science/data analyst/AI/machine learning positions preferred skills include an associate or bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT, statistics, mathematics or having good logical aptitude knowledge of statistics, gen AI, LLM, Sagemaker, Python, computer vision, data visualization tools. Candidates lacking technical skills can research our other programs which can assist in landing a job.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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