What does a statistical analyst do?
A statistical analyst is primarily responsible for gathering data, ensuring accuracy and relevance to the subject. Their other responsibilities also revolve around designing and implementing strategies for collecting information, analyzing data through particular software, and presenting the company's findings to decision-making officials. There are also instances when a statistical analyst must record and organize data using a database, collaborate with other teams, and even train new analysts. Furthermore, as a statistical analyst, it is essential to adhere to the company's policies and regulations.
Statistical analyst responsibilities
Here are examples of responsibilities from real statistical analyst resumes:
- Manage weapon system project websites via SharePoint, including troubleshooting technical issues and developing guidelines for public/private information and user permissions.
- Develop and validate statistical models using logistic regression, mix model, non-linear mix model, experimental design.
- Implement CDISC SDTM & ADAM standards for data.
- Create and validate CDISC SDTM and ADaM datasets.
- Pool data across multiple studies for ISS and ISE.
- Develop a product class model to forecast sales opportunities of specific product categories using logistic regression, sampling and segmentation.
- Design questionnaires in WP and create reports in PowerPoint.
- Involve in writing the specification documents for generation of SDTM and ADaM datasets.
- Used tools such as SAS and SPSS to perform statistical analyses of health relate data.
- Develop algorithms in MATLAB, SPSS, and SAS to process and validate these models.
- Present findings both in Microsoft PowerPoint and orally with colleagues and management during daily and weekly meetings.
- Work with relevant teams within the business to scope and define reporting & dashboard requirements and KPIs.
- Assist in the production and QC of derive dataset specifications, programming specifications, and other process supporting documents.
- Automate report and visualization production.
- Create derived analysis datasets including ADaM and trial design domains.
Statistical analyst skills and personality traits
We calculated that 11% of Statistical Analysts are proficient in Statistical Analysis, Data Analysis, and Statistical Methods. They’re also known for soft skills such as Detail oriented, Analytical skills, and Communication skills.
We break down the percentage of Statistical Analysts that have these skills listed on their resume here:
- Statistical Analysis, 11%
Conducted statistical analysis comparing and contrasting data acquired regarding Worcester State Universities' Diversity initiative versus the Assumption College diversity initiative.
- Data Analysis, 9%
Provide Data analysis which includes working with large pools of data and manipulating information to perform analysis for management.
- Statistical Methods, 8%
Performed technology liaison role to ensure systems changes reflected proper statistical methods and resulted in accurate reporting.
- Database, 6%
Created a queuing model database which generated statistical data and probabilities based on customer usage patterns at the Automated Teller Machines.
- Data Collection, 5%
Reduced warranty by implementing an on-line data collection program for alignment equipment and utilizing engineering trials and analysis.
- Visualization, 4%
Use data visualization techniques to effectively communicate analytical results and support business decisions.
"statistical analysis," "data analysis," and "statistical methods" are among the most common skills that statistical analysts use at work. You can find even more statistical analyst responsibilities below, including:
Detail oriented. One of the key soft skills for a statistical analyst to have is detail oriented. You can see how this relates to what statistical analysts do because "market research analysts must pay attention to minutiae to evaluate data." Additionally, a statistical analyst resume shows how statistical analysts use detail oriented: "supervised data collection and research tasks and conducted detailed analyses and synthesis of statistical information. "
Analytical skills. Another soft skill that's essential for fulfilling statistical analyst duties is analytical skills. The role rewards competence in this skill because "market research analysts must evaluate large amounts of data and information related to market conditions." According to a statistical analyst resume, here's how statistical analysts can utilize analytical skills in their job responsibilities: "design and build reports, dashboards and present analysis results using a variety of data visualization tools. "
Communication skills. Another skill that relates to the job responsibilities of statistical analysts is communication skills. This skill is critical to many everyday statistical analyst duties, as "market research analysts must be able to clearly convey information when gathering material, interpreting data, and presenting results to clients." This example from a resume shows how this skill is used: "required advanced data analysis in sas, creative design of summary tools, and frequent written/verbal communications with sud administrators. "
The three companies that hire the most statistical analysts are:
- University of Pennsylvania10 statistical analysts jobs
- Vanderbilt University Medical Center8 statistical analysts jobs
- Medpace7 statistical analysts jobs
Choose from 10+ customizable statistical analyst resume templates
Build a professional statistical analyst resume in minutes. Our AI resume writing assistant will guide you through every step of the process, and you can choose from 10+ resume templates to create your statistical analyst resume.
Compare different statistical analysts
Statistical analyst vs. Business & data analyst
A business and data analyst is an individual who specializes in utilizing different data-centered strategies in providing analytical services to a company or an organization. Their duties focus on conducting extensive market research and assessments, organizing studies using various techniques and approaches, gathering and analyzing data, performing risk assessments, and spearheading activities such as interviews and surveys. They use their research findings to create plans, establish business forecasts and models, and recommend solutions to optimize business operations.
While similarities exist, there are also some differences between statistical analysts and business & data analyst. For instance, statistical analyst responsibilities require skills such as "statistical analysis," "statistical methods," "database," and "data collection." Whereas a business & data analyst is skilled in "power bi," "bi," "business process," and "strong analytical." This is part of what separates the two careers.
Business & data analysts earn the highest salaries when working in the finance industry, with an average yearly salary of $91,008. On the other hand, statistical analysts are paid more in the pharmaceutical industry with an average salary of $86,666.On average, business & data analysts reach similar levels of education than statistical analysts. Business & data analysts are 1.4% less likely to earn a Master's Degree and 3.4% less likely to graduate with a Doctoral Degree.Statistical analyst vs. Data analyst internship
A data analyst internship involves a trainee who wants to gain working experience in the field of information technology (IT) by assisting data analyst professionals. Data analyst interns should examine information using data analysis tools so that they can help their employers make important decisions by identifying various facts and trends. They write reports and present them to the management to provide new insights about new trends and areas for improvement. Data analyst interns can find work in areas such as banks, specialist software development companies, and consultancies.
While some skills are similar in these professions, other skills aren't so similar. For example, resumes show us that statistical analyst responsibilities requires skills like "database," "clinical trials," "research projects," and "statistical reports." But a data analyst internship might use other skills in their typical duties, such as, "python," "power bi," "data analytics," and "data extraction."
Data analyst interns may earn a lower salary than statistical analysts, but data analyst interns earn the most pay in the technology industry with an average salary of $47,252. On the other hand, statistical analysts receive higher pay in the pharmaceutical industry, where they earn an average salary of $86,666.Average education levels between the two professions vary. Data analyst interns tend to reach similar levels of education than statistical analysts. In fact, they're 2.8% less likely to graduate with a Master's Degree and 3.4% less likely to earn a Doctoral Degree.What technology do you think will become more important and prevalent for statistical analysts in the next 3-5 years?
Pavel Chernyavskiy Ph.D.
Assistant Professor of Statistics, University of Wyoming
Statistical analyst vs. Program analyst
The job of program analysts is to plan, manage, and evaluate a company's computer programs. They usually perform different tasks, including researching and analyzing complex data to identify trends and offer the best recommendations for improvements. Other duties for this position may include creating policies and procedures, monitoring and evaluating program performance, and resolving any issues. This role's skills and requirements include a bachelor's degree in computer science, business, or related field. Previous work experience as a program analyst and critical thinking skills are also valued.
The required skills of the two careers differ considerably. For example, statistical analysts are more likely to have skills like "statistical methods," "database," "visualization," and "linear regression." But a program analyst is more likely to have skills like "veterans," "program management," "project management," and "logistics."
Program analysts earn the best pay in the professional industry, where they command an average salary of $79,942. Statistical analysts earn the highest pay from the pharmaceutical industry, with an average salary of $86,666.program analysts typically earn lower educational levels compared to statistical analysts. Specifically, they're 7.4% less likely to graduate with a Master's Degree, and 2.6% less likely to earn a Doctoral Degree.Statistical analyst vs. Process analyst
A process analyst is also known as an operations research analyst, who evaluates in detail the steps in producing products and making important decisions as well as providing recommendations on how to enhance them. They are IT specialists that analyze the business process and workflows to determine how they can be computerized and improved. Responsibilities include identifying problems and risks as well as engaging in problem resolution. Important skills to consider for applicants include being innovative thinkers and goal-oriented.
Types of statistical analyst
Updated January 8, 2025
