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Senior statistical analyst skills for your resume and career

Updated January 8, 2025
3 min read
Quoted experts
Dr. Jackie Gallagher,
Bertrand Clarke Ph.D.
Below we've compiled a list of the most critical senior statistical analyst skills. We ranked the top skills for senior statistical analysts based on the percentage of resumes they appeared on. For example, 13.1% of senior statistical analyst resumes contained python as a skill. Continue reading to find out what skills a senior statistical analyst needs to be successful in the workplace.

15 senior statistical analyst skills for your resume and career

1. 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 senior statistical analysts use python:
  • Construct models utilizing supervised and unsupervised machine learning algorithms with Python.
  • Created scripts in Python for manipulating, parsing and converting data in excel sheets.

2. Statistical Analysis

Here's how senior statistical analysts use statistical analysis:
  • Applied advanced statistical analysis techniques for a niche consulting firm that serviced the pharmaceutical industry.
  • Collaborated with statistical colleagues and study personnel to co-author statistical analysis plans.

3. Data Analysis

Here's how senior statistical analysts use data analysis:
  • Assisted the brand team answer several critical business questions using secondary data analysis.
  • Constructed statistical measurements for quality indicators, producing summary reports for data analysis.

4. Statistical Methods

Here's how senior statistical analysts use statistical methods:
  • Used statistical methods to create customer profiles and retail trade areas to identify current and potential impacts on market share.
  • Determined variables, wrote up experiment, collected data, and used statistical methods to determine result.

5. ISE

Here's how senior statistical analysts use ise:
  • Supported for ISS (TESS and SAE) and ISE regulatory response to assist NDA submission and publication.
  • Designed and implemented data collection and reporting system using CDISC-SDTM CDISC-ADAM and both ISS and ISE reporting systems.

6. QC

Quality control is a set of instructions or procedures to ensure a manufactured product or a service is up to the highest quality standards. This set of quality control criteria are either defined by the clients or the company itself.

Here's how senior statistical analysts use qc:
  • Implement automated QC data reporting; interact with management team to address data availability and integrity issues.
  • Performed independent Quality Control (QC) on datasets, figures, tables, and listings as per SOP guidelines.

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7. Data Management

The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

Here's how senior statistical analysts use data management:
  • Collaborated closely with statisticians, clinical team, and data management group.
  • Worked on Edit check programming for data management for data cleaning purposes.

8. Statistical Models

Here's how senior statistical analysts use statistical models:
  • Experienced in building and validating statistical models from variable and coefficient selection to final statistical model release.
  • Advised others regarding the application of complex statistical models.

9. Macro

Here's how senior statistical analysts use macro:
  • Wrote/modified macros to standardize programs.
  • Aided in the development of Sigma's standard modeling SAS programs and macros on a PC platform.

10. CDISC

Here's how senior statistical analysts use cdisc:
  • Developed Data Definition Tables (DDT) for FDA submission according to CDISC and Protocol specifications.
  • Develop requirements for mapping raw CRF data to CDISC SDTM Domains.

11. ISS

Here's how senior statistical analysts use iss:
  • Create ADR, Table A and Appendix B of IB and ISS, ARDs for NDA submissions.

12. Adam

ADAM software assists leading companies by rendering smart and convenient digital management solutions. This software has proved to be of great importance for retailers and Enterprises working on large scales. The ADAM software offers impeccable features to its users, such as designing and structuring media and delivering it among the team members and advanced systems to help users manage their group tasks very efficiently.

Here's how senior statistical analysts use adam:
  • Created derived analysis datasets including ADaM and trial design domains.
  • Involved in writing the specification documents for generation of SDTM and ADaM datasets.

13. Statistical Data

Statistical data is a numerical data collected by censuses and/or survey from respondents, or from administrative sources to be edited, imputed, aggregated, and/or used in the compilation and production of official statistics.

Here's how senior statistical analysts use statistical data:
  • Developed specifications for Premium & Loss Statistical data generations and edits criteria to improve reporting data.
  • Implemented and maintained large databases for insurance statistical data.

14. Analysis Results

Here's how senior statistical analysts use analysis results:
  • Created PPT for analysis results.
  • Proposed a new mapping strategy that significantly improves the accuracy of the final analysis results.

15. FDA

The Food and Drug Administration (FDA) is a division of the US Department of Health and Human Services that regulates the production and sale of food, pharmaceutical products, medical equipment, and other consumer goods, as well as veterinary medicine. The FDA is now in charge of overseeing the manufacture of products like vaccines, allergy treatments, and beauty products.

Here's how senior statistical analysts use fda:
  • Assisted in the preparation and delivery of two phase III studies for FDA submission.
  • Developed programs for Integrated Summary Safety reports for FDA submission.
top-skills

What skills help Senior Statistical Analysts find jobs?

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

What skills stand out on senior statistical analyst resumes?

Dr. Jackie Gallagher

Associate Professor, Chair, University of Mary Washington

Students need to be able to communicate well, in writing and by speaking - I think these are the most important skills for anyone. It can be hard to demonstrate on a resume, so a portfolio or web page is incredibly useful! Beyond that, the ability to find good, reliable, information, to be able to do research, to think critically, and to assess information critically. Again, these are hard to demonstrate on a resume, but individual research, internships, presentations at a conference, these are the ways that a student might really stand out.
GIS skills are incredibly valuable for geography majors, but are not absolutely essential. One or two classes in GIS are useful; our undergraduate certificate, especially if it includes Python programming language, is very valuable.
Hard skills like word processing, use of spreadsheets, production of slide shows and posters, and creation of web pages round out my list!

What soft skills should all senior statistical analysts possess?

Bertrand Clarke Ph.D.

Professor and Chair, University of Nebraska - Lincoln

Ability to communicate results to the people who want the answers. Ability to outline the method you used and why you used it. Ability to work in a group that has diverse backgrounds. Less tangible, the sixth sense stats people have for how far to push an analysis, e.g., not overuse the data, not make assumptions you can't justify.

What hard/technical skills are most important for senior statistical analysts?

Bertrand Clarke Ph.D.

Professor and Chair, University of Nebraska - Lincoln

Linear models and their follow-on techniques -- generalized linear models, mixed models. Familiarity with nonlinear methods, including classification. Basic nonparametric techniques like PCA, clustering, etc.

Expertise in programming in various languages (R, Python, SAS, etc.)
Expertise in working with various data structures and software.


There are specialized areas as well -- time series, spatial statistics, etc. But they often rely on the methods in the first paragraph.

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

Shalini GopalkrishnanShalini Gopalkrishnan LinkedIn profile

Visiting Professor, Menlo College

If you are taking a gap year, please decide the purpose. Be very clear about it. Is it for being on campus? Is it to get into a better college next year? Decide what are you going to do that year. Most students want to travel, but it is not possible now. Maybe work on a wild idea you have had and didn't have time for; start a business. If not, take courses. Go to Coursera, Udacity, Edx, or any others, and get an employment-oriented certificate now. Areas such as project management, data science, human resources, and supply chain management are needed now.
Do you want to know more?
Read more about what experts have to say about senior statistical analyst

List of senior statistical analyst skills to add to your resume

Senior statistical analyst skills

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

  • Python
  • Statistical Analysis
  • Data Analysis
  • Statistical Methods
  • ISE
  • QC
  • Data Management
  • Statistical Models
  • Macro
  • CDISC
  • ISS
  • Adam
  • Statistical Data
  • Analysis Results
  • FDA
  • Research Projects
  • Clinical Trial Data
  • Regression
  • SPSS
  • R
  • Summary Tables
  • Statistical Techniques
  • Medicare
  • Extraction
  • SAS/SQL
  • External Clients
  • Unix
  • Medicaid
  • Time Series Analysis
  • Financial Data
  • Factor Analysis
  • Data Collection
  • Experian
  • Customer Behavior
  • Model Development
  • VBA
  • CRF
  • SAS Macros
  • Claims Data
  • Marketing Mix
  • Statistical Results
  • Statistical Reports
  • Segmentation Analysis

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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