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Graduate Assistant Data Analyst Jobs in Riverside, CA

BUSINESS DATA ANALYST 2

Norco, CA · On-site

$88K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Collaborate with cross-functional teams to understand reporting and analytical needs. * Assist with developing and improving data-reporting processes and standards. * Document analytical methods ...

Quality Data Analyst

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The Quality Data Analyst works closely with Quality Engineering, Operations, Manufacturing ... evidence * Assist in QMS maintenance reporting required for AS9100 and ISO9001 standards

Data Analyst with Security Clearance

Riverside, CA · On-site

$142K/yr

  • Medical

  • Retirement

  • PTO

Work closely with cross-functional teams to understand their data needs and provide analytical support. * Assist in the development and implementation of data strategies and initiatives. * Provide ...

ERP Data Analyst

Orange, CA · On-site

$20 - $22/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

ERP Data Analyst Fullerton, CA | Monday-Friday | Full-Time | Temp-to-Hire Turn Data Into Better ... Support Production Scheduling as a backup when needed. * Assist the Quality team with KPI reporting ...

SQL Data Analyst with Security Clearance

Riverside, CA · On-site

$142K/yr

  • Medical

  • Retirement

  • PTO

SQL Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance ... Assist in the development and implementation of data strategies and initiatives. • Provide ...

Showing results 41-60

Graduate Assistant Data Analyst information

See Riverside, CA salary details

$29.2K

$74.8K

$142.9K

How much do graduate assistant data analyst jobs pay per year?

As of Aug 14, 2026, the average yearly pay for graduate assistant data analyst in Riverside, CA is $74,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $87,100.00 per year, depending on experience, location, and employer.

What is the difference between Graduate Assistant Data Analyst vs Data Analyst?

AspectGraduate Assistant Data AnalystData Analyst
Required CredentialsEnrolled graduate student, often pursuing related fieldsBachelor's degree in data-related field, sometimes a master's
Work EnvironmentAcademic institutions, research projects, part-timeCorporate, government, or consulting firms, full-time
Employer & Industry UsageUniversities, research centersBusinesses, organizations across industries
Common Search & ComparisonYesYes

The main difference is that a Graduate Assistant Data Analyst is typically a graduate student working part-time in academic or research settings, focusing on supporting projects while pursuing their degree. In contrast, a Data Analyst is usually a full-time professional employed by organizations to analyze data and inform business decisions. Both roles require data analysis skills, but their work environments and commitments differ.

What is a graduate assistant data analyst?

Graduate Assistant Data Analysts are graduate students who support academic or administrative departments by analyzing data, preparing reports, and assisting with research projects. They typically use statistical software and data visualization tools to interpret data and provide insights to faculty, staff, or research teams. Their work helps inform decision-making, improve processes, and contribute to academic research. These positions often provide students with valuable hands-on experience in data analysis while they complete their graduate studies.

What are the key skills and qualifications needed to thrive as a graduate assistant data analyst?

To thrive as a Graduate Assistant Data Analyst, you need a strong foundation in statistics, data analysis, and research methods, typically supported by enrollment in a relevant graduate program. Proficiency in data analysis tools such as Excel, Python, R, and SQL, as well as experience with data visualization platforms like Tableau or Power BI, is essential. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These skills and qualities are crucial for generating reliable insights that support institutional research and decision-making.

What types of projects and tasks does a graduate assistant data analyst work on?

As a Graduate Assistant Data Analyst, you can expect to work on a variety of projects, such as data cleaning, generating reports, performing statistical analyses, and assisting faculty or departments with research-related data needs. Your daily tasks may include collecting and organizing datasets, using analytical tools like Excel, SPSS, or Python, and collaborating with professors or research teams to support ongoing projects. This role often provides exposure to real-world data challenges and offers opportunities to develop both technical and communication skills while working in an academic or research-focused environment.

What are popular job titles related to Graduate Assistant Data Analyst jobs in Riverside, CA?

For Graduate Assistant Data Analyst jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Graduate Assistant Data Analyst jobs in Riverside, CA look for?

The top searched job categories for Graduate Assistant Data Analyst jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Graduate Assistant Data Analyst jobs?

Cities near Riverside, CA with the most Graduate Assistant Data Analyst job openings:

Full-time

Posted 23 days ago


Job description

Terran Orbital is seeking an experienced Quality Data Analyst  to join our dynamic team. Reporting to the Sr. Manager, Quality the Quality Data Analyst will focus on analyzing quality performance, developing metrics, dashboards and KPI reports, forecasting trends, and providing operational leadership with clear, actionable insights. The Quality Data Analyst works closely with Quality Engineering, Operations, Manufacturing, Assembly & Test, Supply Chain, Safety, and Program teams to ensure Terran Orbital maintains strong reliability, compliance, and continuous improvement throughout program delivery. The Quality Data Analyst serves as the primary analytical resource for the EH&S, Quality & Mission Assurance organization, responsible for costofpoor-quality reporting, first pass yields (FPY), waste/scrap reduction, defect trend analysis, NCR performance evaluation, quality forecasting, and visibility into process state-of-health. This role translates complex data into concise, meaningful information used to guide operational and strategic decisions and to provide leadership with clear concise performance assurance.

Key Duties and Responsibilities

  • Develop, maintain, and improve quality dashboards, KPIs, scorecards, and recurring performance reports
  • Analyze quality data-including nonconformances, defect trends, escapes, cost-of-poor- quality, rework, and inspection throughput to identify trends and improvement opportunities
  • Prepare weekly, monthly, quarterly, and annual quality performance summaries in alignment with operational and customer requirements
  • Perform variance analysis on inspection output, defect rates, resource utilization, supplier quality metrics, and cost impacts
  • Support quality forecasting and trend modeling, including capacity planning, defect reduction impact, and performance shifts
  • Extract, consolidate and validate large volumes of data from MES/PLM/ERP systems (Aegis, Jira, D365, Windchill, or equivalent)
  • Provide analytical support to leadership for performance evaluation and continuous improvement tracking
  • Support internal and external audits through preparation of quality metrics, compliance data, and documented performance evidence
  • Assist in QMS maintenance reporting required for AS9100 and ISO9001 standards
  • Collaborate with Operations, Manufacturing, Assembly & Test, Supply Chain, Safety, and Program to assess supplier and internal performance
  • Participate in quality improvement initiatives, providing data-driven insights, ROI modeling, and metric development
  • Translate complex data into clear, concise, and actionable insights for cross-functional and executive audiences

Required Qualifications and Skills

  • Bachelor's degree in data science, statistics, business analytics, engineering or related field
  • 3+ years of experience in quality analytics, operations analytics, data analysis, (aerospace/defense industry preferred)
  • Proficiency in Excel and data analysis tools with ability to manage and consolidate large datasets
  • Proficiency in BI/reporting tools (Power BI, Tableau, D365 reporting, or similar)
  • Experience with MES, PLM, and ERP systems such as Aegis, Jira, D365, Windchill or similar
  • Understanding of key quality metrics such as FPY, DPMO, NCR trends, Cost-of-Poor Quality (COPQ), rework rates, inspection throughput, and CAPA effectiveness
  • Strong analytical and problem-solving abilities, with skill in trend interpretation and metric design
  • High attention to detail and accuracy in documentation and data governance
  • Ability to collaborate effectively across engineering, quality, operations, supply chain, and program teams
  • Excellent written and verbal communication skills - including ability to display performance indicators for clear understanding
  • U.S. Citizenship with ability to obtain and maintain DoD security clearance

Preferred Qualifications and Skills

  • Experience working in aerospace quality environments with AS9100/ISO9001
  • Knowledge of financial concepts such as variance analysis, forecasting, ROI, or cost modeling
  • Experience supporting quality investigations, audit readiness, or continuous improvement projects