Entry-Level Statistician Job Description [Updated for 2025]

In today’s data-driven world, the demand for statisticians is at an all-time high.

As technology evolves, the need for skilled individuals who can analyze, interpret, and apply statistical information becomes more pressing.

But let’s delve deeper: What’s truly expected from an entry-level statistician?

Whether you are:

• A job seeker trying to understand the core responsibilities of this role,
• A hiring manager outlining the perfect candidate,
• Or simply fascinated by the realm of statistics,

You’ve come to the right place.

Today, we present a tailor-made entry-level statistician job description template, designed for easy posting on job boards or career sites.

Let’s dive right into it.

Entry-Level Statistician Duties and Responsibilities

Entry-Level Statisticians utilize their knowledge of statistical theory and methodology to collect, analyze, and interpret quantitative data.

They provide valuable insights that help companies make strategic decisions.

They have the following duties and responsibilities:

• Collecting and organizing data needed for statistical analysis
• Applying statistical theories and methods to solve practical problems in business, engineering, healthcare, or other fields
• Interpreting and presenting data summary statistics and visualizations
• Implementing data collection systems and other strategies that optimize statistical efficiency and data quality
• Performing statistical analysis using statistical software
• Reporting results of statistical analyses, including information in the form of graphs, charts, and tables
• Contributing to the design of surveys, experiments, or opinion polls to collect data
• Assisting in the development of new statistical or mathematical models
• Collaborating with teams and stakeholders to understand data needs and deliver actionable insights
• Continuously updating knowledge and skills by studying new theoretical and methodological developments in the field of statistics

 

Entry-Level Statistician Job Description Template

Job Brief

We are seeking an analytical Entry-Level Statistician to interpret and analyze statistical data for our company.

The responsibilities of the Statistician include collecting data to identify trends, performing statistical analyses, interpreting complex data sets, and providing reports with clear and actionable recommendations.

Ideal candidates should have a solid understanding of statistical methods, a strong mathematical base, and the ability to communicate complex data in an understandable manner.

 

Responsibilities

• Collecting data and setting up data gathering systems
• Analyzing and interpreting complex data sets and trends
• Designing, creating, and implementing statistical models
• Producing reports and giving recommendations based on data analysis
• Identifying opportunities for statistical research and data sampling
• Working closely with management to prioritize business and information needs
• Presenting and visualizing data findings and outcomes in a clear manner
• Ensuring data integrity and compliance with regulations

 

Qualifications

• A degree in Statistics, Mathematics, Economics, or related field
• Understanding of statistical methods and data analysis techniques
• Strong analytical and problem-solving skills
• Proficiency in statistical software (like R, SAS, SPSS, or similar)
• Familiarity with data management tools and databases
• Strong written and verbal communication skills
• High attention to detail and accuracy

 

Benefits

• 401(k)
• Health insurance
• Dental insurance
• Retirement plan
• Paid time off
• Professional development opportunities

 

Additional Information

• Job Title: Entry-Level Statistician
• Work Environment: Office setting with options for remote work. Some travel may be required for team meetings or client consultations.
• Reporting Structure: Reports to the Head of Statistics or Data Analysis Manager.
• Salary: Salary is based upon candidate experience and qualifications, as well as market and business considerations.
• Pay Range: $45,000 minimum to $70,000 maximum
• Location: [City, State] (specify the location or indicate if remote)
• Employment Type: Full-time
• Equal Opportunity Statement: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
• Application Instructions: Please submit your resume and a cover letter outlining your qualifications and experience to [email address or application portal].

 

What Does an Entry-Level Statistician Do?

An Entry-Level Statistician primarily works in the field of data analysis, where they assist in the collection, interpretation, and presentation of quantitative data.

They could work in various industries such as healthcare, finance, government, or research institutions.

They work closely with researchers, scientists, or other statisticians to gather relevant data, which may involve designing surveys, questionnaires, experiments, or opinion polls.

An important part of their job is to analyze and interpret the collected data using statistical software.

They are responsible for applying statistical theories, methodologies, and mathematical principles in their analysis.

They also assist in creating reports and graphs that accurately represent the results of their findings.

These reports help organizations in decision-making processes and strategic planning.

Furthermore, they ensure data accuracy and consistent techniques in statistical studies and are sometimes required to present their findings to non-technical stakeholders.

They may also be involved in predictive modeling or machine learning, depending on the needs of their employer.

Despite being entry-level, statisticians need to keep up-to-date with the latest statistical analysis tools and techniques.

 

Entry-Level Statistician Qualifications and Skills

An entry-level statistician should possess a unique blend of technical knowledge, soft skills, and theoretical understanding to perform their duties, such as:

• A strong foundational knowledge in statistics and related mathematical principles to understand the data and perform accurate analyses.
• Proficiency in statistical software such as R, SAS, or SPSS for analyzing data and reporting findings.
• Problem-solving skills to identify and correct any issues that may arise during data analysis.
• Attention to detail to ensure data is correctly gathered, analyzed, and interpreted.
• Ability to communicate complex statistical concepts in simple terms to a non-technical audience, using clear and precise language.
• Strong analytical skills to understand the context of the data and draw insightful conclusions.
• Organizational skills to manage multiple datasets and projects simultaneously while meeting deadlines.
• Understanding of data privacy principles and commitment to handling sensitive information with integrity and confidentiality.

 

Entry-Level Statistician Experience Requirements

Entry-level Statistician positions typically require candidates to have at least a Bachelor’s degree in Statistics or a related field.

They may have 1 to 2 years of experience, often gained through internships, undergraduate research projects, or part-time roles that involved data analysis or statistical modeling.

These professionals can also gain practical experience in roles such as Data Analyst, Research Assistant, or in other roles that heavily involve data interpretation and statistical methods.

Candidates with more than 3 years of experience will have likely developed their technical skills and knowledge in entry-level Statistician roles.

They would also be expected to be proficient in statistical software such as R, SAS, or Python.

Those with more than 5 years of experience may have some project management or team leadership experience and may be ready for a higher-level statistician role or a position as a statistical consultant.

They may also have a Master’s degree or a PhD in Statistics, which could further enhance their analytical and problem-solving skills.

 

Entry-Level Statistician Education and Training Requirements

Entry-Level Statisticians generally need a bachelor’s degree in statistics, mathematics, economics, or another related field.

The degree program should ideally include courses in mathematical statistics, probability, differential equations, and computer science.

Having a strong background in research design, data collection methods, and statistical analysis tools like SAS, R, or Python is also crucial.

Certain positions may require Entry-Level Statisticians to have a master’s degree in statistics or a closely related field.

In addition to formal education, Entry-Level Statisticians may pursue professional certification such as the Certified Statistician designation from the American Statistical Association.

This certification can validate a candidate’s statistical skills and expertise.

Moreover, internships or other practical experience in applying statistical theory and methods can be beneficial for job prospects.

Continuous learning and staying updated with the latest statistical methods, software, and tools are also essential for career growth in this field.

 

Entry-Level Statistician Salary Expectations

An Entry-Level Statistician can expect to earn an average salary of $61,291 (USD) per year.

The actual salary may vary based on factors such as educational qualifications, experience, and the location of the job.

 

Entry-Level Statistician Job Description FAQs

What are the necessary skills for an Entry-Level Statistician?

An Entry-Level Statistician should have strong mathematical skills, particularly in the areas of calculus and linear algebra.

They should also have a strong grasp of statistical theory and methodologies.

Proficiency in statistical software packages, such as SAS, R or Python, is essential.

Additionally, they should possess problem-solving skills, critical thinking abilities, and strong attention to detail.

 

What kind of degree does an Entry-Level Statistician need?

Typically, Entry-Level Statisticians hold at least a bachelor’s degree in Statistics, Mathematics, or a related field.

However, many employers prefer candidates with a master’s degree in Statistics.

Coursework in computer science, engineering, and physical science can also be beneficial.

 

What should you look for in an Entry-Level Statistician resume?

On an Entry-Level Statistician’s resume, look for a strong academic background in Statistics or a related field.

It’s also beneficial if they have experience with statistical software like R or SAS.

Any internships, research projects, or work experience that involved the application of statistical methodologies would be advantageous.

Skills like data analysis, problem-solving, and communication should also be highlighted.

 

What qualities make a good Entry-Level Statistician?

A good Entry-Level Statistician is detail-oriented and has a strong interest in data analysis.

They should be able to work independently and as part of a team, and have excellent problem-solving skills.

Communication skills are also important, as they often need to explain their findings to people without a statistics background.

 

Are Entry-Level Statistician positions in high demand?

Yes, the demand for statisticians is growing.

This is largely due to the increasing need for data analysis in various industries, from healthcare and finance to marketing and government.

Therefore, entry-level positions provide a solid foundation for career growth in this field.

 

Conclusion

And that wraps it up.

Today, we demystified the intricate world of an entry-level statistician.

Surprise, surprise?

It’s not just about crunching numbers.

It’s about deciphering the patterns, predicting trends, and shaping the future, one statistical analysis at a time.

Armed with our handy entry-level statistician job description template and real-life examples, you’re ready for the journey.

But why halt here?

Dig deeper with our job description generator. It’s your essential tool for meticulously crafted listings or honing your resume to perfection.

Bear in mind:

Every data point is a piece of the larger puzzle.

Let’s unravel that future. Together.

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