A Statistician collects, analyzes, and interprets data to identify trends, patterns, and relationships, informing decision-making in various industries.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups


National (USA)
Base Salary
$92,806 / year
Additional Benefits
Bachelor's Degree

The average salary for Statistician is $92,806 / year according to

There are no updated reports for Statistician salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Statistician role may have an alternate title depending on the company. To find more information, you can check

Career Information

As a Statistician, you will be responsible for analyzing and interpreting data to help organizations make informed decisions. This role requires strong analytical and problem-solving skills, as well as knowledge of statistical methods and tools. You will need to be able to analyze complex data sets and communicate your findings to stakeholders.

The average salary for Statistician is $92,806 / year according to
AI Disclaimer
The following text about the Job role of Statistician has been generated by an AI model developed by OpenAI. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

A statistician is a professional who specializes in the collection, analysis, and interpretation of numerical data. They play a crucial role in various industries, including healthcare, finance, market research, and government agencies. Statisticians use their expertise to help organizations make informed decisions, solve problems, and predict future trends.

One of the most important skills for a statistician is a strong foundation in mathematics and statistical theory. They must have a deep understanding of probability, hypothesis testing, regression analysis, and other statistical techniques. This knowledge allows them to design experiments, develop sampling plans, and analyze data accurately.

Another essential skill for a statistician is proficiency in statistical software and programming languages. They need to be proficient in tools like R, Python, SAS, or SPSS to manipulate and analyze large datasets efficiently. Additionally, they should be able to write code to automate repetitive tasks and create visualizations to present their findings effectively.

Communication skills are also vital for statisticians. They must be able to explain complex statistical concepts and results to non-technical stakeholders in a clear and concise manner. This includes writing reports, creating presentations, and collaborating with colleagues from different backgrounds.

Problem-solving is a key aspect of a statistician's job. They are often faced with complex problems that require creative thinking and innovative approaches. They must be able to identify the appropriate statistical techniques to address these problems and develop strategies to overcome any challenges that may arise during the analysis.

Statisticians also need to have a keen attention to detail. They must carefully review data for errors, outliers, and inconsistencies. A small mistake in data entry or analysis can have significant consequences, so they must be meticulous in their work.

In addition to these skills, statisticians are responsible for various tasks, including designing surveys and experiments, collecting and cleaning data, conducting statistical analyses, interpreting results, and making recommendations based on their findings. They may also be involved in developing statistical models and forecasting future trends.

Overall, statisticians play a crucial role in helping organizations make data-driven decisions. Their skills in mathematics, statistical analysis, programming, communication, problem-solving, and attention to detail make them valuable assets in a wide range of industries.

Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

AWS Certified Machine Learning — Specialty Certification


The AWS Certified Machine Learning - Specialty certification covers a wide range of topics, including data engineering, exploratory data analysis, modeling, and machine learning implementation and operations on the AWS Cloud. 

View More

Google Certified Professional Machine Learning Engineer

The Google Machine Learning Certification is a high-ROI program designed for ML engineers who want to gain specialized machine learning skills using Google Cloud technologies.

View More

AWS Certified Data Analytics — Specialty


The AWS Data Analytics Certification program validates a deep understanding of AWS data analytics services and their integration with each other to derive insights from data, making it suitable for individuals pursuing a role focused on data analytics.

View More

Microsoft Certified: Azure Enterprise Data Analyst Associate


The Azure Data Analyst Certification is a high-ROI program designed for professionals who have expertise in designing, creating, and deploying enterprise-scale data analytics solutions.

View More

Microsoft Certified: Azure AI Engineer Associate


The Azure AI Certification is a high-ROI program designed for professionals who are passionate about building, managing, and deploying AI solutions using Azure Cognitive Services and Azure services.

View More
Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.



Statistics for Data Analysis


Practicing Statistics Interview Questions in R


This course equips you with essential Statistics knowledge for Data Science, enabling you to tackle problems in R Programming while mastering distributions, hypothesis testing, and regression models.

View More
View More

Computational Probability and Inference


Mathematics for Machine Learning and Data Science Specialization


IBM Data Analyst Professional Certificate


How to Become a Business Analyst


Statistician with R

Career Track

Quantitative Analyst with R

Career Track

R Programmer

Career Track

Data Analyst in Power BI

Career Track

Data Analyst in SQL

Career Track

Data Analyst in Tableau

Career Track

Ace the Python Coding Interview

Skill Track

Advanced Statistics for Data Science Specialization


This specialization equips you with essential concepts in probability, statistics, data analysis, matrix algebra, and linear models for Data Science.

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.

The content displayed on this website is for informational and promotional purposes only. We have made every effort to use these materials in accordance with media kits and legal guidelines. We may receive a commission for any purchases made through our website.

Please note that we are not affiliated with, endorsed by, or sponsored by any of the companies whose logos and other materials appear on our website, unless expressly specified otherwise. All trademarks, logos, and other intellectual property belong to their respective owners.

If you are a copyright owner or an agent thereof and believe that any content on our website infringes upon your copyrights, you may submit a DMCA takedown request to have the content removed. Please provide us with the necessary information to process your request, and we will take appropriate action in accordance with applicable laws.

By using our website, you acknowledge and agree to this disclaimer and assume full responsibility for your use of the information provided.

Fortnight Reads
We care about your data in our privacy policy.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
© 2023 All rights reserved.