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Spss Data Analysis Jobs (NOW HIRING)

Data Architect

Columbia, SC ยท On-site

$59 - $75.75/hr

... SPSS, SAS etc) Strong analytical skills with the ability to collect, organize, analyze, and ... Should be able to recommend data warehouse designing Experienced in requirement gatherings from ...

... and analysis, including direct experience with statistical modeling and management of research datasets. * Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data ...

... and analysis, including direct experience with statistical modeling and management of research datasets. * Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data ...

Apply software and programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to support data analysis and reporting. * Design, implement, and maintain data management ...

Apply Early

The ideal candidate approaches analysis as a path to strategic thinking that culminates in ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

The ideal candidate approaches analysis as a path to strategic thinking that culminates in ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

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Spss Data Analysis information

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$34K

$82.6K

$136K

How much do spss data analysis jobs pay per year?

As of Jul 1, 2026, the average yearly pay for spss data analysis in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is the difference between Spss Data Analysis vs Data Analyst?

AspectSpss Data AnalysisData Analyst
Primary FocusStatistical analysis using SPSS softwareData collection, processing, and visualization
Tools & SkillsSPSS, statistical methods, data managementExcel, SQL, Tableau, programming languages like Python or R
Work EnvironmentResearch institutions, academia, market research firmsBusiness, finance, healthcare, tech companies
CredentialsStatistics, data analysis certifications, often with SPSS expertiseData analysis, business intelligence, or related degrees

While Spss Data Analysis specializes in statistical analysis using SPSS software, Data Analysts have a broader role involving data collection, processing, and visualization across various tools and platforms. Both roles require analytical skills, but Spss Data Analysis is more focused on statistical techniques within specific research environments, whereas Data Analysts work across diverse industries with multiple data tools.

How does an SPSS Data Analyst typically collaborate with other departments or teams within an organization?

As an SPSS Data Analyst, you will frequently work alongside professionals from various departments such as marketing, finance, or human resources. Collaboration often involves gathering data requirements, clarifying research objectives, and presenting analytical findings in a way that supports decision-making. Effective communication is key, as you'll translate complex statistical results into actionable insights tailored to non-technical stakeholders. Additionally, you may lead or participate in cross-functional meetings to ensure data-driven strategies align with organizational goals.

What is SPSS data analysis?

SPSS data analysis refers to the process of using the Statistical Package for the Social Sciences (SPSS) software to manage, analyze, and interpret data. SPSS is widely used by researchers, data analysts, and statisticians to perform descriptive statistics, inferential statistics, and complex data manipulations. The software offers a user-friendly interface and a range of statistical tests, making it suitable for both beginners and advanced users. It is commonly used in social sciences, healthcare, marketing, and education to draw meaningful conclusions from data.

What are the key skills and qualifications needed to thrive as an SPSS Data Analyst, and why are they important?

To thrive as an SPSS Data Analyst, you need a solid background in statistics, data interpretation, and experience with research methodologies, often supported by a relevant degree in statistics, social sciences, or a related field. Proficiency in IBM SPSS Statistics software and familiarity with data visualization tools and database management systems are typically required. Analytical thinking, attention to detail, and strong communication skills help you derive meaningful insights and clearly present findings to stakeholders. These skills and qualities are essential for ensuring accurate analysis, data-driven decision-making, and clear communication of complex results.
More about Spss Data Analysis jobs
What states have the most Spss Data Analysis jobs? States with the most job openings for Spss Data Analysis jobs include:
What job categories do people searching Spss Data Analysis jobs look for? The top searched job categories for Spss Data Analysis jobs are:
Data Architect

Data Architect

Infojini Inc

Columbia, SC โ€ข On-site

$59 - $75.75/hr

Full-time

Posted 28 days ago


Job description

Company Description

Infojini Consulting is a full service IT consulting, services, and staffing firm with offices in Secaucus, NJ.

Infojini Consulting is recognized as one of the fastest growing IT services and software development Companies. With a partnership of all major technology vendors, Infojini Consulting has built a strong Government and commercial customer base including fortune 100 companies and most state and federal agencies such as State of North Carolina, State of South Carolina, State of Maryland, State of California, State of Pennsylvania, State of Virginia, State of Washington and many others.

Infojini Consulting is an equal opportunity employer and considers all qualified individuals for employment irrespective of their race, gender, age, color, sexual orientation. We offer an excellent compensation package

Job Description

Required skills (rank in order of importance):
Proven working experience as a data analyst or business data analyst
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (business objects etc), databases (SQL etc), programming (xml, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (excel, SPSS, SAS etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Business intelligence developer with hands-on experience in data warehouses and bi to design and develop business reports, dashboards with sap business objects.
Expert in designing business objects universe(s). Should be able to recommend data warehouse designing
Experienced in requirement gatherings from business and create the specs for development of universe design/WEBI.
Preferred skills (rank in order of importance):
Work with cross functional business and it teams of business analysts, data modelers, solution architects, dba's and project managers during all SDLC phases
Translates functional requirements into technical specifications. Performs code walkthroughs and formal reviews
Participate in production, off-hours and weekend support
Create and follow processes, procedures and best practices
Experience in developing re-usable frame-work and components
Experience in tuning performance of dashboard and SQL
Experienced in understanding the flow of data between source and target database, data analysis and analytical skill
Strong understanding of dimensional & relational data models.
Required education/certifications:
BS in mathematics, economics, computer science, information management or statistics or related field.
10 years' of relevant work experience may be substituted in lieu of education.
Minimum 7 years of experience hands on experience in developing dashboards and reports

Qualifications

Required skills (rank in order of importance):
Proven working experience as a data analyst or business data analyst
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Strong knowledge of and experience with reporting packages (business objects etc), databases (SQL etc), programming (xml, Javascript, or ETL frameworks)
Knowledge of statistics and experience using statistical packages for analyzing datasets (excel, SPSS, SAS etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at queries, report writing and presenting findings
Business intelligence developer with hands-on experience in data warehouses and bi to design and develop business reports, dashboards with sap business objects.
Expert in designing business objects universe(s). Should be able to recommend data warehouse designing
Experienced in requirement gatherings from business and create the specs for development of universe design/WEBI.
Preferred skills (rank in order of importance):
Work with cross functional business and it teams of business analysts, data modelers, solution architects, dba's and project managers during all SDLC phases
Translates functional requirements into technical specifications. Performs code walkthroughs and formal reviews
Participate in production, off-hours and weekend support
Create and follow processes, procedures and best practices
Experience in developing re-usable frame-work and components
Experience in tuning performance of dashboard and SQL
Experienced in understanding the flow of data between source and target database, data analysis and analytical skill
Strong understanding of dimensional & relational data models.
Required education/certifications:
BS in mathematics, economics, computer science, information management or statistics or related field.
10 years' of relevant work experience may be substituted in lieu of education.
Minimum 7 years of experience hands on experience in developing dashboards and reports

Additional Information

All your information will be kept confidential according to EEO guidelines.


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About Infojini

Sourced by ZipRecruiter

Infojini Consulting is a full service IT consulting, services, and staffing firm with offices in Linthicum Heights ,Maryland, Washington, DC and Mumbai, India. Infojini Consulting is recognized as one of the fastest growing IT services and software development Companies. With a partnership of all major technology vendors, Infojini Consulting has built a strong Government and commercial customer base including fortune 100 companies and most state and federal agencies such as State of North Carolina, State of South Carolina, State of Maryland, State of California, State of Pennsylvania, State of Virginia, State of Washington and many others.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Columbia, MD, US

Year founded

2006