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Ibm Spss Jobs (NOW HIRING)

The ideal candidate will also bring experience with predictive analytics using IBM SPSS, to help extend Cognos beyond traditional reporting into more advanced, forward-looking insights. * This is not ...

The ideal candidate will also bring experience with predictive analytics using IBM SPSS, to help extend Cognos beyond traditional reporting into more advanced, forward-looking insights. This is not a ...

... deployed in IBM SPSS Modeler Server) and using Automated Decision Services (ADS). • 84 months of experience in end-to-end architecture involving design and implementation and support of ...

IBM Sterling Specialist

Charlotte, NC · On-site

$78.04 - $86.04/hr

... IBM SPSS Desired skills: Proficient in articulating facts and data-driven plans and ability to partner with stakeholders to implement intended solutions to drive risk reductions and adherence to ...

... Optim, IBM SPSS, IBM Atlas, IBM StoredIQ, Webtrends, Additionally, he/she will be responsible for patching, Security, Release upgrades, LDAP, Restarts, Performance, Configuration and Promotion ...

... IBM SPSS Excellent communication skills and ability to express the statistical model output properly to senior management Logistics experience desired - shipment processing Cognitive computing ...

... IBM SPSS Excellent communication skills and ability to express the statistical model output properly to senior management Logistics experience desired - shipment processing Cognitive computing ...

... deployed in IBM SPSS Modeler Server) and using Automated Decision Services (ADS). * 84 months of experience in end-to-end architecture involving design and implementation and support of ...

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... IBM SPSS Modeler Server). 6. At least 84 months of experience in end to end architecture involving design and implementation and support of Interpretation driven infix/postfix notation based IBM ...

Sr. Software Engineer (TS/SCI)

Annapolis Junction, MD · On-site

$117K - $140K/yr

This includes utilizing tools like IBM CPLEX and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis. • Analyze Diverse Data: Manage and analyze diverse data types and ...

Sr. Software Engineer (TS/SCI)

Alexandria, VA · On-site

$122K - $147K/yr

This includes utilizing tools like IBM CPLEX and Gurobi for optimization and SPSS, SAS, R, and Python for statistical analysis. • Analyze Diverse Data: Manage and analyze diverse data types and ...

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How much do ibm spss jobs pay per year?

As of Jul 5, 2026, the average yearly pay for ibm spss in the United States is $86,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $95,000.00 per year, depending on experience, location, and employer.

Is IBM SPSS still relevant?

IBM SPSS remains a widely used statistical analysis software in data analysis, research, and business intelligence roles. Professionals working with data often require knowledge of SPSS alongside skills in data management and statistical methods, making it a valuable tool for many job positions in analytics and research environments.

What is an IBM SPSS job?

An IBM SPSS job typically involves using IBM's Statistical Package for the Social Sciences (SPSS) software to analyze and interpret data. Professionals in this role may work in research, business analytics, healthcare, or academia to conduct statistical tests, create predictive models, and generate reports. Common responsibilities include data cleaning, visualization, and applying statistical methodologies to support decision-making. Strong analytical skills and proficiency in SPSS are essential for success in this role.

Is it hard to get hired by IBM?

Getting hired for an IBM SPSS-related role typically requires relevant skills in data analysis, statistics, or software proficiency, along with a strong educational background. The hiring process can be competitive, often involving multiple interview stages and technical assessments. Demonstrating expertise with IBM SPSS software and related tools can improve your chances of securing a position.

What careers use SPSS?

Careers that use SPSS include data analysts, market researchers, social scientists, and statisticians. These roles involve analyzing data, creating reports, and supporting decision-making processes, often requiring proficiency in statistical methods and data management tools like SPSS.

What are the key skills and qualifications needed to thrive in the Ibm Spss position, and why are they important?

To thrive in a role focused on IBM SPSS, you need a strong background in statistics, data analysis, and a relevant degree in fields like mathematics, social sciences, or data science. Proficiency with IBM SPSS software, including experience with data manipulation, regression analysis, and report generation, is essential, and certifications in SPSS or advanced analytics are highly valued. Attention to detail, problem-solving ability, and clear communication skills set successful candidates apart in this position. These skills are crucial because they ensure accurate data interpretation, meaningful insights, and effective collaboration with non-technical stakeholders.

Is SPSS still relevant in 2026?

IBM SPSS Statistics remains a relevant tool for data analysis and statistical modeling in many industries in 2026. Skills in SPSS are valuable for roles involving data management, research, and reporting, especially in academic, healthcare, and market research environments. However, familiarity with other tools like R, Python, or SAS can enhance job prospects and adaptability.

What types of projects or analyses might I work on as an IBM SPSS specialist?

As an IBM SPSS specialist, you may work on a variety of projects such as survey analysis, market research, predictive modeling, and statistical reporting for clients or internal departments. Typical tasks involve preparing and cleaning datasets, running statistical tests, generating visualizations, and presenting findings to decision-makers. You may also collaborate with research teams, data scientists, or business analysts to translate complex results into actionable recommendations. This role offers exposure to diverse industries and often provides opportunities to lead analytic projects as your expertise grows.

More about Ibm Spss jobs
What are the most commonly searched types of Ibm Spss jobs? The most popular types of Ibm Spss jobs are:
What states have the most Ibm Spss jobs? States with the most job openings for Ibm Spss jobs include:
Infographic showing various Ibm Spss job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 90% Full Time, 3% Part Time, and 6% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $86,547 per year, or $41.6 per hour.
IBM Cognos Analytics Developer

IBM Cognos Analytics Developer

BravoTECH

Durant, OK • On-site

Other

Posted 6 days ago


Job description

- Hybrid - Durant, OK - (Onsite 1 day per week, remote the other 4 days)

- Long term Contract

- Must be USC or Green Card holder

- Must have Cognos V12 experience



Our Durant, OK client is seeking an IBM Cognos Analytics Developer with strong experience in both core platform capabilities and its AI-driven features. This individual will serve as a hands-on expert to guide development efforts, provide best-practice recommendations, and help our team better leverage Cognos—especially its AI and augmented analytics capabilities.


The ideal candidate will also bring experience with predictive analytics using IBM SPSS, to help extend Cognos beyond traditional reporting into more advanced, forward-looking insights.


  • This is not a formal leadership role but requires a highly experienced practitioner who can influence direction through expertise, introduce innovative approaches, and accelerate delivery. Our client is looking for:
  • A true Cognos expert who can jump in and add value quickly
  • Someone comfortable working hands-on while also guiding decisions through expertise
  • A practitioner who can unlock AI and predictive capabilities, not just build standard reports


Job Responsibilities

  • Provide hands-on development support for dashboards, reports, and data modules
  • Advise on best practices for leveraging Cognos Analytics, including AI/augmented features (AI Assistant, forecasting, insights)
  • Apply predictive analytics techniques using Cognos and SPSS to deliver forward-looking insights
  • Assist with integration of SPSS outputs/models into Cognos reporting and dashboards
  • Assist with configuration, administration, and optimization of the Cognos platform (12.x)
  • Collaborate with business and technical teams to refine requirements and deliver effective solutions
  • Identify opportunities to utilize AI and predictive capabilities to enhance reporting, automation, and decision-making
  • Troubleshoot complex issues and improve performance of existing reports and data models
  • Support and guide internal team members through knowledge sharing and practical coaching


Job Requirements

  • Strong expertise in IBM Cognos Analytics 12.x, including report authoring, dashboards, and data modules
  • Hands-on experience with Cognos AI/augmented analytics features (AI Assistant, natural language queries, forecasting, automated insights)
  • Experience with predictive analytics and familiarity with IBM SPSS Modeler and/or Modeler Server
  • Experience integrating predictive outputs into business intelligence/reporting workflows
  • Experience with platform configuration, administration, and security (user and data-level)
  • Proven ability to optimize performance of reports and data models
  • Strong problem-solving skills and ability to work independently in an enterprise environment
  • Ability to think creatively and recommend non-traditional solutions within Cognos
  • Strong communication skills with both technical and non-technical stakeholders
  • Experience building or operationalizing predictive models using SPSS and surfacing results in Cognos PREFERRED
  • Experience enabling self-service analytics and training end users PREFERRED
  • Familiarity with underlying data architecture and integration with data warehouses PREFERRED