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Internship Data Analyst Spss Jobs (NOW HIRING)

Jose Merciline

Data Analyst (fulltime)

New York, NY · On-site +1

... SPSS, SAS etc) * Strong analytical skills with the ability to collect, organize, analyze, and ... Data mining and querying * Experience maintaining complex data sets and as well data migration and ...

Sundaysky

Data Analyst

New York, NY

... analytical mind with creative problem-solving skills to use data to drive success. The ideal ... R or Python (similar to SAS, SPSS, etc.) Database (SQL, MySQL, NoSQL, Splunk, etc.) Experience with ...

Sundaysky

Data Analyst

New York, NY · On-site

Building proactive analysis through data mining to identify trends and opportunities for product ... R or Python (similar to SAS, SPSS, etc.) * Database (SQL, MySQL, NoSQL, Splunk, etc.) * Experience ...

Lewis-Clark State College

Data Analyst

Lewiston, ID · On-site

$49K - $60K/yr

Statistical software (SPSS, SAS, R) * Survey tools (Qualtrics or similar) * IPEDS or other higher ... Conduct data analyses using SQL and statistical methods; implement validation routines to ensure ...

Lewis-Clark State College

Data Analyst

Lewiston, ID · On-site

$49K - $60K/yr

Statistical software (SPSS, SAS, R) * Survey tools (Qualtrics or similar) * IPEDS or other higher ... Conduct data analyses using SQL and statistical methods; implement validation routines to ensure ...

UT Health San Antonio

Data Analyst-Senior

San Antonio, TX · On-site

$77K - $97K/yr

UT Health San Antonio is seeking a Senior Data Analyst to interpret, monitor, and analyze complex ... SPSS, SAS, or similar analytic tools. • Advanced dashboard building experience using ...

UT Health San Antonio

Data Analyst-Senior

San Antonio, TX · On-site

$74K - $93K/yr

For this Data Analyst position, we strongly prefer candidates with prior experience in academic and ... as SPSS, SAS, or similar analytic tools. * Advanced dashboard building experience using ...

UT Health San Antonio

Data Analyst-Senior

San Antonio, TX · On-site

$74K - $93K/yr

For this Data Analyst position, we strongly prefer candidates with prior experience in academic and ... as SPSS, SAS, or similar analytic tools. * Advanced dashboard building experience using ...

Texas A&M AgriLife

Lead Data Analyst

Dallas, TX · On-site

Job Title Lead Data Analyst Agency Texas A&M Agrilife Research Department Dallas Proposed Minimum ... Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization ...

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Internship Data Analyst Spss information

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$34K

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How much do internship data analyst spss jobs pay per year?

As of Jul 13, 2026, the average yearly pay for internship data analyst spss 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 does an Internship Data Analyst SPSS do?

An Internship Data Analyst SPSS is a student or recent graduate who assists in collecting, processing, and analyzing data using SPSS (Statistical Package for the Social Sciences) software. Their main responsibilities typically include cleaning and organizing datasets, running statistical tests, and helping interpret the results for business or research projects. Interns in this role gain hands-on experience with data analysis tools, prepare reports, and often support senior analysts with ongoing projects. This role is ideal for those looking to build a foundation in data analysis and statistical software.

What types of projects can an Internship Data Analyst using SPSS expect to work on, and how are these projects typically structured?

As an Internship Data Analyst specializing in SPSS, you can expect to work on projects involving the collection, cleaning, and analysis of large datasets to support business or research objectives. Typical projects might include survey data analysis, creating reports on customer behavior, or assisting with academic research studies. These projects are usually structured with clear objectives, timelines, and deliverables, and you will likely collaborate with experienced analysts, researchers, and team leads. Regular meetings and feedback sessions are common, providing opportunities for learning and professional growth.

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

AspectInternship Data Analyst SpssData Analyst
Required SkillsSPSS, basic data analysis, internship experienceExcel, SQL, data visualization, statistical tools
Work EnvironmentInternship setting, entry-level projectsFull-time, varied industries
CertificationsNone typically required, internship focusStatistical or data analysis certifications beneficial
Industry UsageResearch, marketing, healthcare internshipsBusiness, finance, tech, healthcare sectors

The main difference between Internship Data Analyst Spss and Data Analyst roles lies in experience level and scope. Internships focus on learning and supporting data analysis tasks using SPSS, while Data Analysts typically handle more complex projects with broader tools and responsibilities in full-time positions across various industries.

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

To thrive as an Internship Data Analyst (SPSS), you need foundational knowledge in statistics, data analysis, and a relevant academic background in fields like mathematics, statistics, or computer science. Proficiency in SPSS software, data visualization tools, and familiarity with database systems are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret and present data findings clearly. These skills are crucial for generating actionable insights, supporting business decisions, and ensuring data-driven accuracy in professional environments.
More about Internship Data Analyst Spss jobs
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What are the most commonly searched types of Data Analyst Spss jobs? The most popular types of Data Analyst Spss jobs are:
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Internship Data Analyst Spss jobs near you
Infographic showing various Internship Data Analyst Spss job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst (fulltime)

Jose Merciline

New York, NY • On-site, Remote

Full-time

Posted 10 days ago

Job description

Location can be remote. As long as the candidate is available to work during EST business hours and willing to travel to NYC on need basis. (Post Covid)

Prefer someone close to or willing to NYC or NYC suburbs - Not must.

This is a fulltime role. The employer is unable to sponsor or accept candidates who are on Work visa.

  1. Interpret data, clean and analyze results using statistical techniques and provide ongoing reports
  2. Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  3. Acquire data from primary or secondary data sources and maintain databases/data systems
  4. Identify, analyze, and interpret trends or patterns in complex data sets
  5. Visualize datasets using Tableau, PowerBI or Looker
  6. Adept in doing qualitative and Quantitative research.
  7. Building automated dashboards in PowerBI, Tableau etc
  8. Database migration and setup.

Requirements

  1. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  2. Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  3. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  4. Adept at queries, report writing and presenting findings
  5. Proficient in Python and statistical and analytical tools like R
  6. Experience with automation tools for reports automation with ETL tools
  7. Data mining and querying
  8. Experience maintaining complex data sets and as well data migration and creating new datasets

Experience with data visualization tools as well as leveraging Python for creating data visualizations and automating dashboards.

Apply