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Survey statistician skills for your resume and career

Updated January 8, 2025
2 min read
Quoted experts
Yingfu (Frank) Li Ph.D.,
Michael Gallaugher Ph.D.
Below we've compiled a list of the most critical survey statistician skills. We ranked the top skills for survey statisticians based on the percentage of resumes they appeared on. For example, 21.6% of survey statistician resumes contained statistical techniques as a skill. Continue reading to find out what skills a survey statistician needs to be successful in the workplace.

15 survey statistician skills for your resume and career

1. Statistical Techniques

Here's how survey statisticians use statistical techniques:
  • Prepare reports of local area and/or statewide estimates for employment using statistical techniques and trend projections.
  • Consult with investigators and determine appropriate statistical techniques to analyze data.

2. 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 survey statisticians use statistical data:
  • Compare statistical data and compose managerial reports for submission to Territorial Headquarters as well as Divisional department heads.
  • Prepared various statistical compilations from voluminous statistical data maintained for the FBI's Uniform Crime Reporting Program.

3. Statistical Analysis

Here's how survey statisticians use statistical analysis:
  • Utilized project management principles and statistical analysis to mitigate expense and increase efficiency.
  • Researched, designed and implemented improvements to system edits utilizing statistical analysis.

4. Data Analysis

Here's how survey statisticians use data analysis:
  • Performed data analysis/cleanup/management based on surveying service industries with SAS and Excel.
  • Write reports, emails, and memorandums that summarize or discuss the status of project operations and results of data analysis.

5. Statistical Software

Statistical software is a specialized computer program used for statistical analysis of data collection, organization, analysis, interpretation, and presentation to provide scientific information on patterns and trends.

Here's how survey statisticians use statistical software:
  • Conducted tests to find out the data's reliability and validity using statistical software to analyze data more accurately and efficiently.
  • Utilize proprietary statistical software and performance and cost monitoring applications to maximize survey results and field staff performance.

6. SAS

SAS stands for Statistical Analysis System which is a Statistical Software designed by SAS institute. This software enables users to perform advanced analytics and queries related to data analytics and predictive analysis. It can retrieve data from different sources and perform statistical analysis on it.

Here's how survey statisticians use sas:
  • Create automated reports or other programming and analytic processes through SAS geared toward improving the Foreign Trade statistics programs and data.
  • Conducted micro and macro level review and analysis of survey data, primarily in SAS and MS Excel.

7. Survey Data

Survey Data is characterized as the resultant information that is gathered from an example of respondents that took a review. This information is complete data assembled from an intended interest group about a particular theme to lead research. There are numerous techniques utilized for overview information assortment and factual investigation.

Here's how survey statisticians use survey data:
  • Survey design by working with past survey data in order to produce more useful data to front end users.
  • Analyze complex survey data and other data types (including incidental or administrative data).

8. Survey Design

Here's how survey statisticians use survey design:
  • Designed, monitored, and implemented several survey design and analysis activities for a variety of establishment-based surveys.Selected Project ExperienceU.S.

9. Censuses

Here's how survey statisticians use censuses:
  • Prepared cost estimates for partial and full special censuses in compliance with local, state and federal rules and regulations.
  • Coordinated with the National Processing Center for the various full and partial special censuses.

10. 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 survey statisticians use data collection:
  • Coordinated data collection assignments for 80+ Census Field Representatives.
  • Managed multiple data collection programs simultaneously under tight deadlines.

11. Survey Operations

Here's how survey statisticians use survey operations:
  • Supervised field staff of up to 200 field representatives in all areas of survey operations.
  • Evaluate accuracy and efficiency of survey operations for the agency's Quality Assurance Branch.

12. Administrative Data

Here's how survey statisticians use administrative data:
  • Reconcile collected data with data captured via other sources, including administrative data.

13. Regression

Here's how survey statisticians use regression:
  • Translated complicated results into knowledge accessible for the public using descriptive statistics, as well as linear and logistic regression.
  • Performed time series and regression analyses of trends in respondents' reported finances.

14. Sample Design

Here's how survey statisticians use sample design:
  • Prepared the Sample Design specification report that outlined the sample design countries should follow when implementing their version of the GATS.
  • Developed the sample design and weighting tasks for various house- and establishment-level studies.

15. Sample Size

Here's how survey statisticians use sample size:
  • Make recommendations to companies on sample size, sample allocation, and all aspects of sampling strategies.
  • Recommended minimum sample sizes to funding manager to determine differences in supervisor performance.
top-skills

What skills help Survey Statisticians find jobs?

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

What skills stand out on survey statistician 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 survey statisticians 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 survey statisticians?

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 survey statistician skills would you recommend for someone trying to advance their career?

Bernd SchroederBernd Schroeder LinkedIn profile

Professor, Website

The foundation of mathematics is logical and computational precision. Mathematical results are eternal in that there is no update needed once a result has been shown to be true. Consider Pythagoras' Theorem. It's rather old, but its statement and truth are unchanged, as is its applicability. This logical and computational precision will be of primary importance for as long as human beings practice mathematics, science, as well as have interactions in general. For the future, we need to continually refine our ability to use fundamental skills in mathematics/logic/computations to validate and improve results obtained through complex computations: For example, the computations that underly AI cannot and should not be double checked step-by-step, because they are much too intricate. However, simple test cases can often reveal problems in the system as well as features.

What type of skills will young survey statisticians need?

David MarshallDavid Marshall LinkedIn profile

Lecturer and Research Associate, Humboldt State University

Students often use me as a reference, and the most often asked question I get from an employer in a reference call is, "How does this person work in groups?" Working in teams is important and a skill you can develop. If you have not yet graduated, learn to work well with others. If you are a high performer, learn to help others be better. This is important for everyone, learn to contribute, and how to effectively communicate. Lately, I would also suggest that you learn a group or team productivity software. I'm not going to talk about specific "groupware," just that you need to put some time into learning the functions of the productivity software you are currently using. Be able to talk about how you used it to accomplish goals; employers love that.

List of survey statistician skills to add to your resume

Survey statistician skills

The most important skills for a survey statistician resume and required skills for a survey statistician to have include:

  • Statistical Techniques
  • Statistical Data
  • Statistical Analysis
  • Data Analysis
  • Statistical Software
  • SAS
  • Survey Data
  • Survey Design
  • Censuses
  • Data Collection
  • Survey Operations
  • Administrative Data
  • Regression
  • Sample Design
  • Sample Size
  • Analyze Data
  • Training Materials
  • Statistical Reports
  • Data Quality
  • Local Government
  • Questionnaire Design
  • Response Rates
  • Data Products
  • American Community
  • Survey Program
  • Training Sessions
  • Financial Reports
  • CPS

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.

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