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Spss Data Analysis Jobs in Florida (NOW HIRING)

Acquire data from primary and secondary sources while effectively maintaining databases and data ... Familiarity with statistical packages for analyzing large datasets (e.g., Excel, SPSS, SAS)

... analysis and reporting capabilities. In addition, they will monitor performance and quality control ... SPSS, SAS, etc.) * Strong analytical skills with the ability to collect, organize, analyze, and ...

Identification and analysis of market trends and trends internally, based on research and data ... Knowledge of statistical / datamining language (SAS, SPSS, VBA, ACCES) - an asset * Knowledge of ...

Master's degree or higher preferred - Proven experience in epidemiological research and data analysis - Strong analytical skills and proficiency with statistical software (e.g., SAS, SPSS, R ...

Master's degree preferred - Proven experience in epidemiological research and data analysis - Strong analytical skills with proficiency in statistical software (e.g., SAS, SPSS, R) - Excellent ...

Data Scientist. Orlando, FL Full Time Position Need GC and USC This person will be responsible for ... Proficient in analytical and programming skills including SQL, Advanced Excel and SPSS or R.

Senior Analyst

Tampa, FL · On-site

$83K - $110K/yr

... analysis; R, SAS, SPSS, or STATA required. • Experience with campaign analytics, conversion funnel analysis, customer LTV modeling, and behavioral data. • Executive-quality PowerPoint ...

Senior Analyst

Tampa, FL · On-site

$95K - $115K/yr

... analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion funnel analysis, customer LTV modeling, and behavioral data. * Executive-quality PowerPoint storytelling ...

Senior Analyst

Tampa, FL · On-site

$115K/yr

... analysis; R, SAS, SPSS, or STATA required. * Experience with campaign analytics, conversion funnel analysis, customer LTV modeling, and behavioral data. * Executive-quality PowerPoint storytelling ...

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Spss Data Analysis information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do spss data analysis jobs pay per year?

As of Aug 9, 2026, the average yearly pay for spss data analysis in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 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?

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.
What job categories do people searching Spss Data Analysis jobs in Florida look for? The top searched job categories for Spss Data Analysis jobs in Florida are:
Infographic showing various Spss Data Analysis job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Full-time

Posted 27 days ago


Job description

We are seeking to expand our team with a strategic, detail-oriented, and highly analytical Data Analyst across various seniority levels. The successful candidate will be instrumental in transforming complex data sets into meaningful insights, driving strategic decisions and enhancing operations. We welcome applications from candidates of diverse professional backgrounds - whether you're just starting your career or an experienced professional.

Key Responsibilities:

  • Develop, implement, and manage advanced database systems, data analytics, and other strategies to optimize statistical efficiency and data integrity.
  • Acquire data from primary and secondary sources while effectively maintaining databases and data systems.
  • Identify, analyze, and interpret trends or patterns within complex data sets, providing actionable insights.
  • Create data collection systems and other strategies that enhance statistical efficiency and data quality.
  • Review computer reports, printouts, and performance indicators to locate and correct code problems.
  • Collaborate closely with management to prioritize business and information needs.
  • Discover and define new process improvement opportunities.
  • Communicate data-driven recommendations to the broader organization in a clear, compelling manner.

Preferred Qualifications:

  • A Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics. A Masters degree is preferred but not mandatory.
  • Proven experience as a Data Analyst or Business Data Analyst.
  • Expertise in data models, database design development, data mining, and segmentation techniques.
  • Proficiency with reporting packages, databases, programming languages (e.g., XML, Javascript, or ETL frameworks).
  • Familiarity with statistical packages for analyzing large datasets (e.g., Excel, SPSS, SAS).
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Proficiency in queries, report writing, and presenting findings.
  • Ability to work independently and as part of a team.
  • Excellent communication, presentation, and leadership skills.

Senior Level Candidates - Extra Considerations:

  • Minimum of 5 years of experience in a data analyst role or similar.
  • Proven abilities in mentorship and team leadership.
  • In-depth understanding of machine learning techniques and algorithms.
  • Prior experience with data visualization tools, such as Tableau.

We are an equal opportunity employer. We celebrate diversity and strive to create an inclusive environment for all our employees.

Interested candidates are invited to apply with a cover letter and resume detailing their experience, skills, and reasons for their interest in this role. Please note that while we appreciate all applications, only those selected for an interview will be contacted.