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Statistical consultant skills for your resume and career

Updated January 8, 2025
4 min read
Quoted experts
Yingfu (Frank) Li Ph.D.,
Michael Gallaugher Ph.D.
Below we've compiled a list of the most critical statistical consultant skills. We ranked the top skills for statistical consultants based on the percentage of resumes they appeared on. For example, 28.1% of statistical consultant resumes contained r as a skill. Continue reading to find out what skills a statistical consultant needs to be successful in the workplace.

15 statistical consultant skills for your resume and career

1. R

R is a free software environment and a language used by programmers for statistical computing. The R programming language is famously used for data analysis by data scientists.

Here's how statistical consultants use r:
  • Cleaned data and programmed two-sample paired t-test in R to find out the relationship between two of our data sets.
  • Worked in the computer lab helping clients with SAS, SPSS, and R programming for research and classroom projects.

2. Statistical Data Analysis

Here's how statistical consultants use statistical data analysis:
  • Maintained steady interaction with client during protocol design and statistical data analysis.

3. Regression

Here's how statistical consultants use regression:
  • Identify factors that predict health status using multiple regression analysis.
  • Conducted regression analysis for tinsel strength study.

4. SAS/GRAPH

Here's how statistical consultants use sas/graph:
  • Performed statistical analysis, as follows: Used SAS and SAS/GRAPH to analyze and present data from the NIELSEN scantrack service.
  • Developed SAS programs extensively using Base SAS, SAS/EG, SAS/Macros and SAS/GRAPH.

5. SPSS

Here's how statistical consultants use spss:
  • Analyze data using SPSS in order to evaluate the effectiveness of student nursing program in conjunction with Pocono Medical Center.
  • Assisted in writing and designing computer programs such as SAS, SPSS, JMP, and R

6. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how statistical consultants use python:
  • Perform data preprocessing and quality control by R and Python scripts.
  • Developed SPSS and Python scripts to automate the pre merge/purge process which greatly simplified the workflow process and eliminated costly errors.

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7. Logistic Regression

Logistic regression is a statistical analysis method accustomed to predict a binary outcome based on a set of independent variables. It is utilized in statistical software to know the connection between the dependent variable and one or more independent variables by estimating probabilities employing a logistic regression equation.

Here's how statistical consultants use logistic regression:
  • Utilized exact categorical data analyses to compare proportions and logistic regressions to obtain odds ratios.
  • Conducted statistical analyses with SAS program: generate descriptive statistical summary, categorical analyses, logistic regression etc.

8. Statistical Methods

Here's how statistical consultants use statistical methods:
  • Provide professional insights about experimental design and appropriate statistical methods for the ongoing search.
  • Applied mathematical and statistical methods to identify and analyze problems and possible epidemics.

9. Data Collection

Data collection means to analyze and collect all the necessary information. It helps in carrying out research and in storing important and necessary information. The most important goal of data collection is to gather the information that is rich and accurate for statistical analysis.

Here's how statistical consultants use data collection:
  • Investigated issues in experimental design and data collection.
  • Provided advice on data collection and power analysis.

10. Anova

Here's how statistical consultants use anova:
  • Performed three-way ANOVA to assess the influence of different factors on the best-fit decay rate.
  • Used two-sample T-tests and ANOVA in independent samples from education area.

11. Statistical Models

Here's how statistical consultants use statistical models:
  • Developed statistical models using large-scale data from customers demographics, transactions records, credit card information, etc.
  • Collaborated with university researchers in designing a statistical model to make comparisons between animal behavior data.

12. Research Projects

Here's how statistical consultants use research projects:
  • Designed statistical experiments for clients on research projects of different areas.
  • Provided statistical consultancy services to medical doctors, engineers, business experts, and numerous faculties and students for their research projects

13. Experimental Design

Experimental design is the process of researching in an objective and controlled manner to maximize precision and draw specific conclusions about a hypothesis statement. It is a concept used to efficiently organize, conduct, and interpret the results of experiments to ensure that as much useful information as possible is obtained by conducting a small number of trials. This minimizes the effects of the variables to increase the reliability of the results.

Here's how statistical consultants use experimental design:
  • Reviewed experimental designs, interpreted analysis results, proposed testing tools and modeling methods.
  • Consult and experimental design for medical and agriculture departments.

14. SQL

Here's how statistical consultants use sql:
  • Developed SQL data transfer programs to support statistical analyses.
  • Write SQL and build data input in SAS format or other formats for Forecasting Model and conduct data analysis.

15. Linear Regression

Here's how statistical consultants use linear regression:
  • Identified patterns and detected variables leading to increased risk in automobile collisions using simple statistical testing and linear regressions.
  • Developed non linear regression statistical models of employment practices of John Hancock Life Ins Co using SAS.
top-skills

What skills help Statistical Consultants find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What skills stand out on statistical consultant resumes?

Yingfu (Frank) Li Ph.D.Yingfu (Frank) Li Ph.D. LinkedIn profile

Program Chair of Statistics and Associate Professor of Statistics, University of Houston - Clear Lake

Statistical computing and communication skills

What soft skills should all statistical consultants possess?

Michael Gallaugher Ph.D.

Assistant Professor, Elected Director of The Classification Society, Baylor University

From the beginning, statistics have been very interdisciplinary and have become even more so in recent years. With that comes working with people with various backgrounds, including those who have only a very basic understanding of mathematics and statistics. Therefore, a statistician needs to reduce the mathematical and computational jargon to simple language.

What hard/technical skills are most important for statistical consultants?

Michael Gallaugher Ph.D.

Assistant Professor, Elected Director of The Classification Society, Baylor University

With the types of data being analyzed today, computational and coding skills are key. Anyone entering the statistics field, regardless of going into academia or industry, should be comfortable coding in at least one statistical computing language such as R, python, or more recently, Julia. In addition, and this is probably obvious, strong mathematical skills are also very important.

What statistical consultant skills would you recommend for someone trying to advance their career?

Rhonda Bacher PhD

Assistant Professor, University of Florida

In terms of biostatistical skills, techniques for analyzing longitudinal biomedical data are increasingly relevant. Artificial intelligence models are likely to be helpful for programming across languages and tools (e.g. R, Python, TensorFlow), and the next generation of biostatisticians will be in a great position to leverage AI tools to their full potential. On the other side of that, understanding and contributing to AI tool development is an area that biostatisticians can play important roles, especially in the fields of bioinformatics and genomics.

What type of skills will young statistical consultants need?

Xingye Qiao Ph.D.Xingye Qiao Ph.D. LinkedIn profile

Associate Professor, Binghamton University

Computing skills are becoming increasingly important, as statistics embraces the data science revolution. Students need to be able to program (using R or Python or some other language), take the data from the web, reshape it, manipulate it to allow easier downstream analysis, and be able to communicate the finding professionally.

All these are, of course, on top of statistical thinking. Competitive student candidates should not only be an order-taker. They should ask hard questions and think about the data problem in the context of the environment that generates the said data. This is related to knowledge of the domains, human contexts, and all kinds of ethical considerations.
Do you want to know more?
Read more about what experts have to say about statistical consultant

List of statistical consultant skills to add to your resume

Statistical consultant skills

The most important skills for a statistical consultant resume and required skills for a statistical consultant to have include:

  • R
  • Statistical Data Analysis
  • Regression
  • SAS/GRAPH
  • SPSS
  • Python
  • Logistic Regression
  • Statistical Methods
  • Data Collection
  • Anova
  • Statistical Models
  • Research Projects
  • Experimental Design
  • SQL
  • Linear Regression
  • Linear Models
  • Research Design
  • Clinical Trials
  • Statistical Support
  • Public Health
  • Factor Analysis
  • Survey Data
  • Regression Analysis
  • Analyze Data
  • Sample Size
  • Data Management
  • Statistical Software
  • Survival Analysis
  • Statistical Techniques
  • Minitab
  • Statistical Analysis
  • Statistical Tests
  • Study Design
  • Statistical Concepts
  • Cluster Analysis
  • Descriptive Statistics
  • JMP
  • Econometrics
  • Analysis Results
  • Statistical Consultation
  • Chi-Square
  • Power Analysis
  • FDA
  • Multivariate Analysis
  • Statistical Reports
  • GLM
  • Clinical Data

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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