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Spss Programmer Jobs (NOW HIRING)

KG Tiger

Statistical Programmer

Plymouth Meeting, PA

... SPSS Excellent communication and interpersonal skills Qualifications Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor's degree and ...

DLS Solutions

Survey Programmer; Decipher

$69K - $94K/yr

Survey Programmer; Decipher Remote Contract Position Can be done off-hours Length: 3 Months Hourly ... CSS, JavaScript, SPSS, data science experience a plus. What You Bring : * You are a hardworking ...

Amat

New Product Manufacturing Engineer

Austin, TX

$78K - $108K/yr

... SPSs), Engineering Specification Waivers (ESWs). 5.Documents product-related issues/enhancement opportunities. Assists in determining root cause analysis.. 6.Leads the Managed Build process for ...

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SPSS Programmer information

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How much do spss programmer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for spss programmer in the United States is $100,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $126,500.00 per year, depending on experience, location, and employer.

What is an SPSS programmer?

SPSS Programmers are professionals who specialize in using IBM's Statistical Package for the Social Sciences (SPSS) software to manage, analyze, and interpret data. They write and execute scripts or syntax in SPSS to automate data processing tasks, conduct statistical analyses, and generate reports. SPSS Programmers often work in research, healthcare, marketing, and academic environments where statistical data analysis is required. They are skilled in both the technical aspects of the SPSS tool and in applying statistical methods to solve real-world problems.

What are the key skills and qualifications needed to thrive as an SPSS programmer?

To thrive as an SPSS Programmer, you need strong skills in statistical analysis, data management, and experience with the SPSS software, often backed by a degree in statistics, mathematics, or a related field. Familiarity with data visualization tools, scripting in SPSS Syntax, and sometimes knowledge of related tools like R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication help SPSS Programmers interpret data and explain findings to stakeholders. These skills ensure accurate data analysis, meaningful insights, and the ability to support informed decision-making in research or business environments.

What are some common challenges faced by SPSS programmers when working with large or complex datasets?

SPSS Programmers often encounter challenges such as data cleaning, handling missing or inconsistent data, and optimizing scripts for performance when dealing with large or complex datasets. Collaborating closely with data analysts and researchers is crucial to ensure data integrity and accurate results. Additionally, staying updated with SPSS syntax and best practices helps in efficiently managing data transformations and analyses within tight project deadlines.

What is the difference between Spss Programmer vs Data Analyst?

AspectSpss ProgrammerData Analyst
Required SkillsProficiency in SPSS, programming, data managementData visualization, statistical analysis, reporting
Work EnvironmentResearch firms, healthcare, market researchBusiness, finance, marketing departments
CertificationsSPSS certifications, statistical coursesData analysis, Excel, BI tools

While both roles involve data handling, an Spss Programmer primarily focuses on coding and managing data within SPSS software, whereas a Data Analyst interprets data to generate insights and reports. The Spss Programmer's work is more technical and software-specific, while Data Analysts often use multiple tools and focus on data storytelling.

Should I put SPSS on my resume?

Including SPSS on a resume is beneficial for roles such as SPSS programmers or data analysts, as it demonstrates proficiency with statistical software essential for data analysis tasks. Listing SPSS can highlight relevant skills, especially when combined with certifications or experience in data management and statistical modeling.

What careers use SPSS?

SPSS is widely used in careers involving data analysis, research, and statistics such as market research analyst, social scientist, data analyst, healthcare researcher, and academic researcher. Professionals in these roles utilize SPSS for data management, statistical testing, and reporting to support decision-making and research findings.
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SPSS Programmer jobs near you
Infographic showing various Spss Programmer job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, 3% Part Time, 7% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $100,711 per year, or $48.4 per hour.

Statistical Programmer

Plymouth Meeting, PA

KG Tiger
See more jobs at KG Tigerexternal

Full-time

Re-posted 29 days ago

Job description

Company Description

ABOUT THE COMPANY:

A design company that blends technology, creativity and engineering to help customers transform ideas into world-class products and solutions. The company addresses the communications, consumer products, defense, healthcare, media & entertainment, semiconductor and transportation sectors. This is supported by a network of design studios, development centers and offices worldwide. Key services include embedded product design, industrial design, animation & visual effects and systems integration

ABOUT KGTiger: 

A professional services consulting firm hired to directly source prospective candidates. The company's strategy of maintaining long-term relationships has created a success paradigm that nets great benefits for candidates and clients. Your confidentiality is totally respected. Resumes and other employment-related information are not shared with the client until we have secured your permission. Likewise, we may be asked to maintain client confidentiality.


Job Description


SAS and/or SQL programming experience
Experience working with Patient-level and/or medical claims-level data
Experience analyzing very large amounts of data
Technical skills/knowledge in one or more of the following: multivariate analysis, regression analysis and forecasting, sampling, data modeling, R programming, machine learning, SPSS
Excellent communication and interpersonal skills

Qualifications

Master's degree/Ph.D. in Statistics, Mathematics or related field with two to five years of experience OR a Bachelor's degree and 7 years of experience in operations research, market research, or applied statistics

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