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Statistical Assistant Jobs in Pittsburgh, PA (NOW HIRING)

Chatham

Graduate Assistant - Research

Pittsburgh, PA · On-site

Graduate Research Assistant (2) School of Business and Enterprise Position Overview The School of ... Perform statistical analysis using software packages such as SPSS, R, Stata, or Excel * Clean ...

Carlow University

Assistant Coach

Pittsburgh, PA · On-site

This position reports to the Head Coach under the supervision of the Director of Athletics and will assist in supervising student athletes, managers, and statisticians. Candidates must have previous ...

Carlow University

Assistant Coach

Pittsburgh, PA · On-site

This position reports to the Head Coach under the supervision of the Director of Athletics and will assist in supervising student athletes, managers, and statisticians. Candidates must have previous ...

UPMC

Pilot - STAT MedEvac

West Mifflin, PA · On-site

$90 - $120/hr

Possesses thorough knowledge of the STAT MedEvac policies and procedures and shall assist in meeting operational goals and objectives. * Provides adequate notice of requested PTO, trade days, etc. to ...

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Statistical Assistant information

See Pittsburgh, PA salary details

$35.4K

$53.7K

$96.1K

How much do statistical assistant jobs pay per year?

As of Aug 30, 2026, the average yearly pay for statistical assistant in Pittsburgh, PA is $53,734.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,800.00 and $58,200.00 per year, depending on experience, location, and employer.

What is a statistical assistant?

Statistical Assistants are professionals who support statisticians and other researchers by collecting, processing, and analyzing data. They often use statistical software to organize data, check for accuracy, and create tables or reports. These assistants play a crucial role in ensuring data integrity and supporting research projects across various industries, including government, healthcare, and business. Their work helps organizations make informed decisions based on accurate and reliable data.

What does a statistical assistant do?

As a statistical assistant, you assist a statistician in all duties related to collecting, processing, analyzing, and presenting data. Your responsibilities also include keeping a schedule, word processing, and data entry into computer software that utilizes statistical formulas. In some positions, you administer surveys, work with focus groups, and keep records of all collected data. You then select statistical tests to use in your data analysis and process the data in software programs. Other duties include compiling reports, charts, and graphs as needed, making presentations to your clients, and maintaining accurate databases of statistical information. Your job also requires you to write clerical procedures and specifications, resolve computer rejects, and recommend changes to the procedures.

What are the key skills and qualifications needed to thrive as a statistical assistant, and why are they important?

To thrive as a Statistical Assistant, you need a strong foundation in mathematics, statistics, and data analysis, typically supported by an associate's or bachelor's degree in a related field. Proficiency in statistical software such as SPSS, SAS, or Excel, along with familiarity with data management systems, is commonly required. Attention to detail, organizational skills, and effective communication are crucial soft skills for this role. These abilities ensure accurate data collection, analysis, and reporting, which are essential for supporting sound decision-making within organizations.

What are some common challenges statistical assistants face when managing large datasets, and how can they overcome them?

Statistical Assistants often encounter challenges such as data inconsistencies, missing values, and complex file formats when handling large datasets. To overcome these issues, it's important to develop strong data cleaning skills and familiarity with statistical software like Excel, SAS, or SPSS. Collaborating closely with statisticians and data analysts can also help ensure data quality and accuracy. Regular training and staying updated on best practices in data management are essential for effectively addressing these challenges.

What is the difference between Statistical Assistant vs Data Analyst?

AspectStatistical AssistantData Analyst
Required CredentialsTypically an associate's or bachelor's degree in statistics, mathematics, or related fieldBachelor's degree often in statistics, mathematics, computer science, or related field; some roles prefer a master's
Work EnvironmentGovernment agencies, research institutions, healthcare, and academic settingsBusiness, finance, healthcare, technology, and marketing sectors
Employer & Industry UsageUsed mainly in research, government, and academic sectors for data collection and basic analysisCommon in corporate settings for data interpretation, reporting, and decision-making

While both roles involve working with data, Statistical Assistants focus on data collection, entry, and basic analysis primarily in research and government settings. Data Analysts typically perform more advanced analysis, data visualization, and reporting in business environments. The roles share similar educational backgrounds but differ in scope and industry application.

What degree do I need to be a statistical assistant?

A statistical assistant typically needs at least a bachelor's degree in statistics, mathematics, data science, or a related field. Strong analytical skills and proficiency with statistical software like SPSS or R are also important for the role.

What skills are needed to be a statistical assistant?

A statistical assistant needs strong analytical skills, proficiency in statistical software such as SPSS, SAS, or R, and a solid understanding of statistical methods. Attention to detail, good communication skills, and the ability to interpret data accurately are also important for the role.
More about Statistical Assistant jobs

What are the most commonly searched types of Statistical jobs in Pittsburgh, PA?

The most popular types of Statistical jobs in Pittsburgh, PA are:

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For Statistical Assistant jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Statistical Assistant jobs in Pittsburgh, PA look for?

The top searched job categories for Statistical Assistant jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Statistical Assistant jobs?

Cities near Pittsburgh, PA with the most Statistical Assistant job openings:

Statistical Assistant jobs near you
Infographic showing various Statistical Assistant job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 2% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $53,734 per year, or $25.8 per hour.

Assistant Professor of Statistics & Data Science

Pittsburgh, PA • On-site

Carnegie Mellon University
Colleges, Universities, and Professional Schools • 1 - 10 employees

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Company rating: 8.6 out of 10

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Learn more about Carnegie Mellon Universityexternal

Full-time

Re-posted 28 days ago

Job description

Description
The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a tenure track position at the rank of Assistant Professor starting in Fall 2026. The Department seeks strong candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory, physical sciences and statistical computing. Excellent candidates with other research interests will also be considered and are strongly encouraged to apply.
Applications received by December 1st, 2025 are guaranteed to receive full consideration.
Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research. Faculty in the department are engaged in a wide range of theoretical, methodological and collaborative research. Current research by our faculty is helping to make fundamental advances in causal inference, neuroscience, cosmology, networks, finance, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning.
Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts a very friendly and energetic working environment, and is dedicated to fostering, mentoring and supporting its junior faculty.
The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence of our undergraduate program, with large numbers of majors and popular joint programs in statistics and machine learning and statistics and economics. We also have two successful Master's programs (Applied Data Science, Computational Finance) and a thriving Ph.D. program that attract exceptional students from around the world.
Qualifications
PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application. Candidates will be expected to complete their PhD or equivalent degree no later than the start date of the appointment (August 2026).
Application Instructions
To apply for the position, interested candidates must include a cover letter, a complete curriculum vitae, a research statement, a statement of teaching interests, and the names and contact information (email addresses) for writers of at least three letters of recommendation.
Applications, including all letters of recommendation, should be complete by December 1, 2025. Review of applications will begin December 1, 2025; the position will remain open until filled.

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