Business Analyst Resume Format

Statistical Analyst Resume Examples

Statistical Analysts interpret quantitative data and design statistical models in order to research and solve a company's problems or questions. Qualifications included on sample resumes of Statistical Analysts include creating unique statistics and techniques to deal with shortcomings in small sample sizes and defensive metrics, and taught co-workers and interns how to utilize software programs like Perl, Access, Excel, Visual Basic and SQL. Candidates should be able to list a bachelor's degree in fields related to research or data analysis on their resumes, along with a minimum of one year of research experience.

Not exactly what you are looking for? Check our complete library of over 700+ resume examples

Edit This Resume

Rate This Template:

  • Featured in:
  • Featured Logo

High Quality

The best examples from thousands of real-world resumes

Expert Approved

Handpicked by resume experts based on rigorous standards

Diverse Examples

Tailored for various backgrounds and experience levels

Icon

Statistical Analyst Duties and Responsibilities

Using statistics to help their employers make better business decisions involves several duties and responsibilities. We analyzed a collection of Statistical Analyst job descriptions to come up with the following list of the most important duties and responsibilities.

Develop and Implement Data Collection Strategies The first task in the statistical analysis process is to collect data. Statistical Analysts set the parameters for what data is needed, the method of data collection, and the target number of participants. They are also responsible for managing lower-level employees who collect the data.

Extract and Organize Raw Data Raw data has to be organized and "cleaned" before it can be analyzed. Statistical Analysts use their set parameters to disqualify bad data, and then organize the data into a spreadsheet.

Analyze and Interpret Data Using Statistical Analysis Software Once the data is organized and cleaned, it is ready to be analyzed. Statistical Analysts use software such as SAS and R to perform complex statistical analysis. This is where they make meaning out of the data.

Present Data to Decision Makers and Stakeholders Statistical Analysts don't just have to make meaning out of data. They also have to be able to explain the significance of their findings in layman's terms. This involves creating statistical reports and data visualizations and using them to present findings to decision makers and stakeholders.

Icon

Statistical Analyst Skills

The role of Statistical Analyst is one that requires much technical knowledge. Statistical Analysts have to have knowledge of advanced Mathematics such as linear algebra, probability and calculus. They also have to be tech-savvy, particularly when it comes to data mining and cleaning. They also have to have expertise in SQL databases, R and SAS languages and big data platforms like Hive and Hadoop. With that being said, Statistical Analysts also have to have good communication skills to explain their findings to decision-makers who are not experts in Statistical Analysis. Here are some of the skills a Statistical Analyst needs to find employment.
  • Using strategic thinking to set data collection parameters for research campaigns
  • Using data mining software to scrub and organize raw data
  • Using SAS and R software to conduct complex statistical analysis
  • Presenting analysis to decision makers using data visualization graphics
Icon

Statistical Analysts Education and Training

Statistical Analysts usually have a Bachelor's Degree in Statistics, Mathematics or a related field. Coursework includes advanced mathematics like statistical probability and calculus. It also involves learning complex statistical analysis software like R and SAS, as well as how to apply theoretical statistical principles in real-world situations.
Icon

Statistical Analyst Salary

According to the Bureau of Labor Statistics, the national median salary for Operations Research Analysts, which includes Statistical Analysts is $79,200. Those in the bottom 10 percent make below $43,400, while those in the top 10 percent make above $132,660.
Icon

Statistical Analyst Resources

Those looking to explore the world of a Statistical Analyst should check out the following list of resources.

American Statistical Association - The American Statistical is the largest, and oldest, professional organization for Statisticians. Founded in 1839, it is the second-oldest continuously operating professional organization in the country. Their website contains an education section that has resources for both professionals and students of all ages. It also has a career section that helps members with professional development, networking and finding a job.

International Statistical Institute - Founded in London in 1885, the International Statistical Institute now has over 4500 members spanning over 100 countries. Within the umbrella of this organization are seven associations that each focus on a more specialized area of statistics. The website lists all of the associations corresponding publications, which contain scholarly articles on industry hot topics. There is plenty to learn from this organization for Statistical Analysts.

Simply Statistics - Simply Statistics is a blog started and written by three professors of Biostatistics: Rafa Irizarry, Roger Peng and Jeff Leek. Their mission for the blog was to write about statistics being used to solve problems simply. It is updated multiple times a month and has a ton of archived articles with relevant information for aspiring Statistical Analysts.

FiveThirtyEight - This website illustrates just how prevalent statistics are in every aspect of our lives. It contains content on politics, sports, economics and social issues that all revolve around hard statistics.

Analytics Magazine - This website is the digital version of the Analytics Magazine print publication. It is one of the industry standards when it comes to technical content geared towards practicing Statistical Analysts.

SAS and R: Data Management, Statistical Analysis, and Graphics by Ken Kleinman and Nicholas J. Horton - This book covers performing frequent statistical tasks using both SAS and R software. It covers navigating between the two platforms, while most industry books only cover one or the other.

Create your own professional resume in just minutes.

Try our resume builder today

Build Your Resume
resume image