2

Full Time Data Analyst Jobs (NOW HIRING)

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... P2: 2+years (a full-time internship may count toward experience) * P3: 4+years * P4: 6+years

Key Responsibilities 1. Data Product Ownership & Quality Assurance * Own analytics-ready datasets ... High attention to detail and a proactive ownership mindset Responsibilities Location * Full-time ...

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Data Analyst The Opportunity: As a data analyst, you love diving into data and turning it into ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst Category: Business Analysis (functional and technical) Main location: United States ... J0526-2528 Employment Type: Full Time U.S. - Technology as a force for good By playing this video ...

Data Analyst Location United States Department Field Support Employment Type Full Time Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over ...

J0626-0213 Employment Type: Full Time Position Description: We are seeking an experienced Data Analyst to join our onshore team. This candidate should seamlessly utilize SQL, Python, Hadoop/Big Data ...

The Data Analyst builds technical proficiency, analytical rigor, and fosters stakeholder ... Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.

The Data Analyst builds technical proficiency, analytical rigor, and fosters stakeholder ... Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.

Data Analyst

New York, NY · On-site +1

$97K/yr

Role Type: Full-time Compensation : $97,000 Visa sponsorship: Not available Hires remotely in ... Our Data Analysts work with diverse data - criminal justice data both raw and processed from across ...

Data Analyst

Charlottesville, VA · On-site

$61K - $141K/yr

Data Analyst The Opportunity: As a Data Analyst, you'll apply your technical and analytical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analysis & Reporting: -Collect, clean, and analyze large and complex datasets from various ... full-time experience in a responsible supervisory, administrative or research capacity in the ...

Data Analyst

East Elmhurst, NY · On-site

$100K - $125K/yr

Data Analysis & Reporting: -Collect, clean, and analyze large and complex datasets from various ... full-time experience in a responsible supervisory, administrative or research capacity in the ...

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Immediate Start - 7th Nov 2022 Mode: On-Site Accepting OPT resumes Experience: 5+ of Data Analasis is reuired. Education:

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Role: Data Analyst Duration: Long term - Full Time Location: Atlanta, GA - Locals OR Ready to relocate candidates only Mode: Hybrid: 2-3 Days On-Site Accepting OPT resumes Experience: Education:

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

Data Analyst The Opportunity: As a Data Analyst, you'll apply your technical and analytical ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Analyst

Honolulu, HI · On-site

$77K - $176K/yr

Data Analyst The Opportunity: As a data analyst, you love diving into data and turning it into ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

Full Time Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do full time data analyst jobs pay per year?

As of Jun 5, 2026, the average yearly pay for full time data analyst 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 are the key skills and qualifications needed to thrive as a Full Time Data Analyst, and why are they important?

To thrive as a Full Time Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Python, Excel, and visualization platforms such as Tableau or Power BI is typically required. Strong problem-solving abilities, communication skills, and attention to detail help analysts present actionable insights and collaborate effectively with stakeholders. These skills and qualifications are crucial for transforming raw data into meaningful information that drives business decisions.

What are typical collaboration partners for a Full Time Data Analyst, and how do they work together on projects?

Full Time Data Analysts frequently collaborate with cross-functional teams such as business stakeholders, software engineers, and product managers. They work closely with these partners to understand data needs, define project goals, and translate technical findings into actionable business insights. Regular meetings, data review sessions, and feedback loops are common practices to ensure alignment and effective communication throughout a project's lifecycle. This collaborative approach helps ensure that data-driven recommendations are both relevant and implementable.

What does a Full Time Data Analyst do?

A Full Time Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make informed decisions. They use statistical tools and techniques to interpret data trends and patterns, create reports and visualizations, and present actionable insights to stakeholders. Data analysts often work with databases, spreadsheets, and specialized software to ensure data accuracy and reliability. Their work supports business strategies, improves efficiency, and identifies opportunities for growth.

What is the difference between Full Time Data Analyst vs Part Time Data Analyst?

AspectFull Time Data AnalystPart Time Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
Employment StatusFull-time employmentPart-time employment
CertificationsOften requires relevant degrees and certificationsMay require similar credentials but with flexible schedules
Work EnvironmentOffice or remote, full-time engagementFlexible, part-time roles often remote or freelance

Full Time Data Analysts work regular hours, often in a dedicated office or remote setting, with full employment benefits. Part Time Data Analysts work fewer hours, offering flexibility but typically with limited benefits. Both roles require similar skills and certifications, but the commitment level differs.

More about Full Time Data Analyst jobs
What cities are hiring for Full Time Data Analyst jobs? Cities with the most Full Time Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most Full Time Data Analyst jobs? States with the most job openings for Full Time Data Analyst jobs include:
Infographic showing various Full Time Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 14% Full Time, 78% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 14 days ago


Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

263rd of 532 rated colleges and universities


Job description

Req Id: 42215
Job Title: Data Analyst
City: West Lafayette
Job Description:
Job Summary
The Institutional Data Analytics + Assessment (IDA+A) office is seeking a Data Analyst (P@), Senior Data Analyst (P3), or Lead Data Analyst (P4). This role supports high-visibility institutional priorities through advanced analytics, reporting, and strategic insight, enabling leaders to make informed decisions that impact students, faculty, and operations at scale.
In this role, you will contribute to research, statistical analysis, report development, dashboard creation, and evidence-based decision support. Working closely with a broad range of campus stakeholders, you will support data-informed decision-making for both day-to-day operations and broader institutional initiatives.
This position will be filled at the appropriate career level (P2, P3, or P4) based on the selected candidate's skills and experience. Responsibilities, scope, and influence increase with level. All levels emphasize collaboration, teamwork, and the delivery of clear, insightful, actionable, and customer-focused analytics. Depending on level, you will work alongside analytics colleagues (P2), mentor and influence peers (P3), or lead complex initiatives and set analytical standards (P4), while partnering closely with staff in assessment, data engineering, data science, and data governance.
Fully remote and hybrid work options are available.
For full consideration, an attached resume and cover letter are required.
This posting represents multiple vacancies.
Responsibilities
  • P2 (Data Analyst): Executes analyses, builds reports, develops technical skills
  • P3 (Senior): Leads projects, mentors peers, improves data quality and practices
  • P4 (Lead): Drives strategy, leads large initiatives, sets standards across domains

Support Data and Information Needs (All Levels)
  • Deliver timely, accurate routine and ad hoc reports, dashboards, and analyses
  • Create and maintain curated data sets to support reporting and analytics
  • Conduct descriptive, summary, and statistical analyses (e.g., regression, ANOVA)
  • Interpret results and communicate findings clearly to technical and non-technical stakeholders
  • Independently complete analytical projects of increasing complexity based on level

Training, Documentation, and Metadata (All Levels)
  • Author and maintain metadata, data definitions, and technical specifications
  • Contribute to training materials and documentation supporting data fluency
  • Provide system administration support for the Data Cookbook and enterprise metadata tools

Participate in the Purdue Data Community (All Levels)
  • Collaborate with campus data partners to enhance data quality and shared understanding
  • Communicate effectively with stakeholders across functional and technical areas
  • Model best practices in data stewardship, documentation, and responsible data use

Enhance Data Quality and Analytical Standards (P3 & P4)
  • Collaborate with campus partners to improve data quality through enhancements and process improvements
  • Resolve complex data quaity issues spanning multiple subject areas or systems
  • Develop and execute validation plans for new data sets and business intelligence updates
  • Influence adoption of standards, best practices, and consistent analytical approaches

Strategic Partnership & Leadership (P3 & P4)
  • Build deep understanding of functional areas such as Enrollment Management Communications, the Registrar, Admissions, and/or Financial Aid
  • Translate functional needs into tailored analytical solutions
  • Serve as a trusted analytics partner for assigned domains

Leadership & Impact (P4)
  • Lead large, complex, and often ambiguous analytics initiatives with cross-departmental impact
  • Set analytical standards and guide approaches for reporting, validation, and data use
  • Mentor and coach analytics colleagues; review and guide others' work
  • Provide measurable input into planning, prioritization, and strategic initiatives
  • Serve as a subject-matter expert representing IDA+A in campus-wide efforts

What We're Looking For:
  • Bachelor's degree
  • Experience in data extraction, processing, visualization, and analysis:
  • P2: 2+years (a full-time internship may count toward experience)
  • P3: 4+years
  • P4: 6+years
  • Strong communication skills, including presenting findings and maintaining documentation
  • Ability to work effectively with stakeholders at all organizational levels
  • Ability to handle sensitive and confidential data responsibly
  • Experience with BI tools (Tableau preferred)
  • Knowledge of relational databases and reporting tools (SQL and Cognos preferred)
  • Experience conducting statistical analysis (e.g., SAS, SPSS, Minitab)
  • Strong attention to detail, quality, and self-directed work

What Is Helpful:
Applicants are not expected to meet every preferred qualification.
  • Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral & Social Sciences, or a related field
  • Master's degree
  • Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint
  • Experience supporting higher education data, analytics, or reporting environments
  • Experience using generative AI tools to support analytical workflows (e.g., documentation, exploratory analysis, summarization), with attention to responsible and ethical use

What We Want You To Know:
  • Fully remote and hybrid work options are available
  • This posting represents multiple vacancies
  • For full consideration, an attached resume and cover letter are required
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

What Purdue University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom