San Diego State University logo
San Diego State University
Posted 137 days agoVerified live 2d ago

Data Scientist (Data Analytics Developer II)

Brief overview

SD Metro AreaIn-person
UndergradOr in progress
$6k–$9k/moStated range
2+ yrsMinimum
Cap-exemptNo H-1B lottery
66 H-1B approvalsDept. of Labor
21 green cardsCertified filings
SQLPythonRData manipulationData transformationData analysisAutomationTableauAWS QuickSightData modelingStatistical analysisData engineeringData operationsData pipeline developmentData storageData integrationFront-end data delivery

About the company

San Diego State University logo
San Diego State Universitysdsu.edu

San Diego State University is a public institution offering diverse educational experiences. It is a sub-organization of California State University.

Visa sponsorship history

4 years sponsoring, last filed FY2026Cap-exempt

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
66H-1B approved
96%approval rate
37new H-1B hires
21PERM certified
$98,568median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202319
202415
202532
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20231
20241
20252
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20249
202511
20261
Top sponsored roles
Assistant ProfessorSenior Assistant Librarian
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Job description

Summary

San Diego State University is hiring a Data Scientist to join the Analytic Studies & Institutional Research (ASIR) team, focusing on academic planning and student success analytics. The role involves developing data solutions and scalable analytics workflows to support institutional decision-making and improve understanding of enrollment and student outcomes.

Responsibilities

  • Develop scalable data analytics solutions using modern programming languages and tools, translating stakeholder requirements into effective technical deliverables
  • Implement data pipelines, automation processes, and data engineering techniques to optimize institutional workflows and enhance data delivery
  • Write, review, and optimize code for data processing, analysis, and visualization to support reporting and decision-making needs
  • Design data models, algorithms, and statistical analyses to extract meaningful insights from large and diverse datasets
  • Ensure data accuracy, consistency, and integrity through validation processes, quality checks, and adherence to data governance standards
  • Maintain clear documentation of data processes, systems, and workflows to support transparency, reproducibility, and compliance
  • Troubleshoot data issues and continuously improve data architecture, pipelines, and analytics processes

Skills

  • Equivalent to a bachelor's degree in a related field and two years of relevant experience
  • Strong programming skills in SQL, Python, R, or related languages used for data manipulation, transformation, analysis, and automation
  • Experience developing scalable data analytics solutions and working with large, complex, and diverse datasets
  • Proficiency with business intelligence and data visualization tools such as Tableau and/or AWS QuickSight to develop dashboards, reports, and analytical products
  • Working knowledge of data modeling, statistical analysis, data engineering, and data operations principles
  • Experience building, maintaining, or supporting data pipelines, including data storage, transformation, integration, and front-end delivery processes
  • Knowledge of data quality management, metadata practices, and data governance principles, including data privacy and security protocols
  • Strong analytical and problem-solving skills with the ability to identify trends, investigate data issues, and develop actionable insights
  • Ability to communicate technical concepts and analytical findings clearly to technical and non-technical audiences
  • Strong organizational and project management skills with the ability to manage multiple priorities and contribute to project planning and implementation
  • Experience using project management and collaboration tools such as Jira or Trello
  • Ability to work independently and collaboratively in a team-oriented environment while building effective relationships with diverse stakeholders
  • Understanding of higher education reporting conventions, CSU policies, and institutional research standards

Qualifications

Must Haves

  • Equivalent to a bachelor's degree in a related field and two years of relevant experience
  • Strong programming skills in SQL, Python, R, or related languages used for data manipulation, transformation, analysis, and automation
  • Experience developing scalable data analytics solutions and working with large, complex, and diverse datasets
  • Proficiency with business intelligence and data visualization tools such as Tableau and/or AWS QuickSight to develop dashboards, reports, and analytical products
  • Working knowledge of data modeling, statistical analysis, data engineering, and data operations principles
  • Experience building, maintaining, or supporting data pipelines, including data storage, transformation, integration, and front-end delivery processes
  • Knowledge of data quality management, metadata practices, and data governance principles, including data privacy and security protocols
  • Strong analytical and problem-solving skills with the ability to identify trends, investigate data issues, and develop actionable insights
  • Ability to communicate technical concepts and analytical findings clearly to technical and non-technical audiences
  • Strong organizational and project management skills with the ability to manage multiple priorities and contribute to project planning and implementation
  • Experience using project management and collaboration tools such as Jira or Trello
  • Ability to work independently and collaboratively in a team-oriented environment while building effective relationships with diverse stakeholders

Nice to Haves

  • Understanding of higher education reporting conventions, CSU policies, and institutional research standards

Benefits

  • 15 paid holidays, vacation, and sick leave.
  • CalPERS pension plan with retiree healthcare, and reciprocal agreements with other California public retirement systems, including the UC.
  • Medical, dental, and vision options at low or no cost.
  • CSU tuition fee waiver for employees and eligible dependents.
  • FlexCash, life and disability insurance, legal and pet plans.
  • Access to the library, campus events, employee groups, and volunteer and social activities.

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